| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % AAA CCCC CCCC EEEEE L EEEEE RRRR AAA TTTTT EEEEE % |
| % A A C C E L E R R A A T E % |
| % AAAAA C C EEE L EEE RRRR AAAAA T EEE % |
| % A A C C E L E R R A A T E % |
| % A A CCCC CCCC EEEEE LLLLL EEEEE R R A A T EEEEE % |
| % % |
| % % |
| % MagickCore Acceleration Methods % |
| % % |
| % Software Design % |
| % Cristy % |
| % SiuChi Chan % |
| % Guansong Zhang % |
| % January 2010 % |
| % % |
| % % |
| % Copyright 1999-2015 ImageMagick Studio LLC, a non-profit organization % |
| % dedicated to making software imaging solutions freely available. % |
| % % |
| % You may not use this file except in compliance with the License. You may % |
| % obtain a copy of the License at % |
| % % |
| % http://www.imagemagick.org/script/license.php % |
| % % |
| % Unless required by applicable law or agreed to in writing, software % |
| % distributed under the License is distributed on an "AS IS" BASIS, % |
| % WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. % |
| % See the License for the specific language governing permissions and % |
| % limitations under the License. % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| */ |
| |
| /* |
| Include declarations. |
| */ |
| #include "MagickCore/studio.h" |
| #include "MagickCore/accelerate.h" |
| #include "MagickCore/accelerate-private.h" |
| #include "MagickCore/artifact.h" |
| #include "MagickCore/cache.h" |
| #include "MagickCore/cache-private.h" |
| #include "MagickCore/cache-view.h" |
| #include "MagickCore/color-private.h" |
| #include "MagickCore/delegate-private.h" |
| #include "MagickCore/enhance.h" |
| #include "MagickCore/exception.h" |
| #include "MagickCore/exception-private.h" |
| #include "MagickCore/gem.h" |
| #include "MagickCore/hashmap.h" |
| #include "MagickCore/image.h" |
| #include "MagickCore/image-private.h" |
| #include "MagickCore/list.h" |
| #include "MagickCore/memory_.h" |
| #include "MagickCore/monitor-private.h" |
| #include "MagickCore/accelerate.h" |
| #include "MagickCore/opencl.h" |
| #include "MagickCore/opencl-private.h" |
| #include "MagickCore/option.h" |
| #include "MagickCore/pixel-accessor.h" |
| #include "MagickCore/pixel-private.h" |
| #include "MagickCore/prepress.h" |
| #include "MagickCore/quantize.h" |
| #include "MagickCore/quantum-private.h" |
| #include "MagickCore/random_.h" |
| #include "MagickCore/random-private.h" |
| #include "MagickCore/registry.h" |
| #include "MagickCore/resize.h" |
| #include "MagickCore/resize-private.h" |
| #include "MagickCore/semaphore.h" |
| #include "MagickCore/splay-tree.h" |
| #include "MagickCore/statistic.h" |
| #include "MagickCore/string_.h" |
| #include "MagickCore/string-private.h" |
| #include "MagickCore/token.h" |
| |
| #ifdef MAGICKCORE_CLPERFMARKER |
| #include "CLPerfMarker.h" |
| #endif |
| |
| #define MAGICK_MAX(x,y) (((x) >= (y))?(x):(y)) |
| #define MAGICK_MIN(x,y) (((x) <= (y))?(x):(y)) |
| |
| #if defined(MAGICKCORE_OPENCL_SUPPORT) |
| |
| #define ALIGNED(pointer,type) ((((size_t)(pointer)) & (sizeof(type)-1)) == 0) |
| |
| /* pad the global workgroup size to the next multiple of |
| the local workgroup size */ |
| inline static unsigned int padGlobalWorkgroupSizeToLocalWorkgroupSize( |
| const unsigned int orgGlobalSize,const unsigned int localGroupSize) |
| { |
| return ((orgGlobalSize+(localGroupSize-1))/localGroupSize*localGroupSize); |
| } |
| |
| static MagickBooleanType checkOpenCLEnvironment(ExceptionInfo* exception) |
| { |
| MagickBooleanType |
| flag; |
| |
| MagickCLEnv |
| clEnv; |
| |
| clEnv=GetDefaultOpenCLEnv(); |
| |
| GetMagickOpenCLEnvParam(clEnv,MAGICK_OPENCL_ENV_PARAM_OPENCL_DISABLED, |
| sizeof(MagickBooleanType),&flag,exception); |
| if (flag != MagickFalse) |
| return(MagickFalse); |
| |
| GetMagickOpenCLEnvParam(clEnv,MAGICK_OPENCL_ENV_PARAM_OPENCL_INITIALIZED, |
| sizeof(MagickBooleanType),&flag,exception); |
| if (flag == MagickFalse) |
| { |
| if (InitOpenCLEnv(clEnv,exception) == MagickFalse) |
| return(MagickFalse); |
| |
| GetMagickOpenCLEnvParam(clEnv,MAGICK_OPENCL_ENV_PARAM_OPENCL_DISABLED, |
| sizeof(MagickBooleanType),&flag,exception); |
| if (flag != MagickFalse) |
| return(MagickFalse); |
| } |
| |
| return(MagickTrue); |
| } |
| |
| static MagickBooleanType checkAccelerateCondition(const Image* image, |
| const ChannelType channel) |
| { |
| /* check if the image's colorspace is supported */ |
| if (image->colorspace != RGBColorspace && |
| image->colorspace != sRGBColorspace && |
| image->colorspace != GRAYColorspace) |
| return(MagickFalse); |
| |
| /* check if the channel is supported */ |
| if (((channel & RedChannel) == 0) || |
| ((channel & GreenChannel) == 0) || |
| ((channel & BlueChannel) == 0)) |
| return(MagickFalse); |
| |
| /* check if the virtual pixel method is compatible with the OpenCL implementation */ |
| if ((GetImageVirtualPixelMethod(image) != UndefinedVirtualPixelMethod) && |
| (GetImageVirtualPixelMethod(image) != EdgeVirtualPixelMethod)) |
| return(MagickFalse); |
| |
| /* check if the image has read / write mask */ |
| if (image->read_mask != MagickFalse || image->write_mask != MagickFalse) |
| return(MagickFalse); |
| |
| /* check if pixel order is RGBA */ |
| if (GetPixelChannelOffset(image,RedPixelChannel) != 0 || |
| GetPixelChannelOffset(image,GreenPixelChannel) != 1 || |
| GetPixelChannelOffset(image,BluePixelChannel) != 2 || |
| GetPixelChannelOffset(image,AlphaPixelChannel) != 3) |
| return(MagickFalse); |
| |
| /* check if all channels are available */ |
| if (((GetPixelRedTraits(image) & UpdatePixelTrait) == 0) || |
| ((GetPixelGreenTraits(image) & UpdatePixelTrait) == 0) || |
| ((GetPixelBlueTraits(image) & UpdatePixelTrait) == 0) || |
| ((GetPixelAlphaTraits(image) & UpdatePixelTrait) == 0)) |
| return(MagickFalse); |
| |
| return(MagickTrue); |
| } |
| |
| static MagickBooleanType checkHistogramCondition(Image *image, |
| const ChannelType channel) |
| { |
| /* ensure this is the only pass get in for now. */ |
| if ((channel & SyncChannels) == 0) |
| return MagickFalse; |
| |
| if (image->intensity == Rec601LuminancePixelIntensityMethod || |
| image->intensity == Rec709LuminancePixelIntensityMethod) |
| return MagickFalse; |
| |
| if (image->colorspace != sRGBColorspace) |
| return MagickFalse; |
| |
| return MagickTrue; |
| } |
| |
| static MagickBooleanType splitImage(const Image* image) |
| { |
| MagickBooleanType |
| split; |
| |
| MagickCLEnv |
| clEnv; |
| |
| unsigned long |
| allocSize, |
| tempSize; |
| |
| clEnv=GetDefaultOpenCLEnv(); |
| |
| allocSize=GetOpenCLDeviceMaxMemAllocSize(clEnv); |
| tempSize=(unsigned long) (image->columns * image->rows * 4 * 4); |
| |
| split = ((tempSize > allocSize) ? MagickTrue : MagickFalse); |
| return(split); |
| } |
| |
| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % C o n v o l v e I m a g e w i t h O p e n C L % |
| % % |
| % % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % |
| % ConvolveImage() applies a custom convolution kernel to the image. |
| % |
| % The format of the ConvolveImage method is: |
| % |
| % Image *ConvolveImage(const Image *image,const size_t order, |
| % const double *kernel,ExceptionInfo *exception) |
| % Image *ConvolveImageChannel(const Image *image,const ChannelType channel, |
| % const size_t order,const double *kernel,ExceptionInfo *exception) |
| % |
| % A description of each parameter follows: |
| % |
| % o image: the image. |
| % |
| % o channel: the channel type. |
| % |
| % o kernel: kernel info. |
| % |
| % o exception: return any errors or warnings in this structure. |
| % |
| */ |
| |
| static Image *ComputeConvolveImage(const Image* image, |
| const ChannelType channel,const KernelInfo *kernel,ExceptionInfo *exception) |
| { |
| CacheView |
| *filteredImage_view, |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_kernel |
| clkernel; |
| |
| cl_int |
| clStatus; |
| |
| cl_mem |
| convolutionKernel, |
| filteredImageBuffer, |
| imageBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| cl_ulong |
| deviceLocalMemorySize; |
| |
| const void |
| *inputPixels; |
| |
| float |
| *kernelBufferPtr; |
| |
| Image |
| *filteredImage; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| size_t |
| global_work_size[3], |
| localGroupSize[3], |
| localMemoryRequirement; |
| |
| unsigned |
| kernelSize; |
| |
| unsigned int |
| filterHeight, |
| filterWidth, |
| i, |
| imageHeight, |
| imageWidth, |
| matte; |
| |
| void |
| *filteredPixels, |
| *hostPtr; |
| |
| /* intialize all CL objects to NULL */ |
| context = NULL; |
| imageBuffer = NULL; |
| filteredImageBuffer = NULL; |
| convolutionKernel = NULL; |
| clkernel = NULL; |
| queue = NULL; |
| |
| filteredImage = NULL; |
| filteredImage_view = NULL; |
| outputReady = MagickFalse; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| |
| image_view=AcquireVirtualCacheView(image,exception); |
| inputPixels=GetCacheViewVirtualPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (const void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| /* Create and initialize OpenCL buffers. */ |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| filteredImage = CloneImage(image,image->columns,image->rows,MagickTrue,exception); |
| assert(filteredImage != NULL); |
| if (SetImageStorageClass(filteredImage,DirectClass,exception) != MagickTrue) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "CloneImage failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| filteredImage_view=AcquireAuthenticCacheView(filteredImage,exception); |
| filteredPixels=GetCacheViewAuthenticPixels(filteredImage_view,0,0,filteredImage->columns,filteredImage->rows,exception); |
| if (filteredPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, "UnableToReadPixelCache.","`%s'",filteredImage->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_WRITE_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = filteredPixels; |
| } |
| else |
| { |
| mem_flags = CL_MEM_WRITE_ONLY; |
| hostPtr = NULL; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| filteredImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| kernelSize = (unsigned int) (kernel->width * kernel->height); |
| convolutionKernel = clEnv->library->clCreateBuffer(context, CL_MEM_READ_ONLY|CL_MEM_ALLOC_HOST_PTR, kernelSize * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| kernelBufferPtr = (float*)clEnv->library->clEnqueueMapBuffer(queue, convolutionKernel, CL_TRUE, CL_MAP_WRITE, 0, kernelSize * sizeof(float) |
| , 0, NULL, NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueMapBuffer failed.","."); |
| goto cleanup; |
| } |
| for (i = 0; i < kernelSize; i++) |
| { |
| kernelBufferPtr[i] = (float) kernel->values[i]; |
| } |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, convolutionKernel, kernelBufferPtr, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| |
| deviceLocalMemorySize = GetOpenCLDeviceLocalMemorySize(clEnv); |
| |
| /* Compute the local memory requirement for a 16x16 workgroup. |
| If it's larger than 16k, reduce the workgroup size to 8x8 */ |
| localGroupSize[0] = 16; |
| localGroupSize[1] = 16; |
| localMemoryRequirement = (localGroupSize[0]+kernel->width-1) * (localGroupSize[1]+kernel->height-1) * sizeof(CLPixelPacket) |
| + kernel->width*kernel->height*sizeof(float); |
| |
| if (localMemoryRequirement > deviceLocalMemorySize) |
| { |
| localGroupSize[0] = 8; |
| localGroupSize[1] = 8; |
| localMemoryRequirement = (localGroupSize[0]+kernel->width-1) * (localGroupSize[1]+kernel->height-1) * sizeof(CLPixelPacket) |
| + kernel->width*kernel->height*sizeof(float); |
| } |
| if (localMemoryRequirement <= deviceLocalMemorySize) |
| { |
| /* get the OpenCL kernel */ |
| clkernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "ConvolveOptimized"); |
| if (clkernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus =clEnv->library->clSetKernelArg(clkernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(cl_mem),(void *)&filteredImageBuffer); |
| imageWidth = (unsigned int) image->columns; |
| imageHeight = (unsigned int) image->rows; |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(unsigned int),(void *)&imageWidth); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(unsigned int),(void *)&imageHeight); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(cl_mem),(void *)&convolutionKernel); |
| filterWidth = (unsigned int) kernel->width; |
| filterHeight = (unsigned int) kernel->height; |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(unsigned int),(void *)&filterWidth); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(unsigned int),(void *)&filterHeight); |
| matte = (image->alpha_trait == UndefinedPixelTrait)?1:0; |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(unsigned int),(void *)&matte); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(ChannelType),(void *)&channel); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++, (localGroupSize[0] + kernel->width-1)*(localGroupSize[1] + kernel->height-1)*sizeof(CLPixelPacket),NULL); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++, kernel->width*kernel->height*sizeof(float),NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* pad the global size to a multiple of the local work size dimension */ |
| global_work_size[0] = ((image->columns + localGroupSize[0] - 1)/localGroupSize[0] ) * localGroupSize[0] ; |
| global_work_size[1] = ((image->rows + localGroupSize[1] - 1)/localGroupSize[1]) * localGroupSize[1]; |
| |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, clkernel, 2, NULL, global_work_size, localGroupSize, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| else |
| { |
| /* get the OpenCL kernel */ |
| clkernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "Convolve"); |
| if (clkernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus =clEnv->library->clSetKernelArg(clkernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(cl_mem),(void *)&filteredImageBuffer); |
| imageWidth = (unsigned int) image->columns; |
| imageHeight = (unsigned int) image->rows; |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(unsigned int),(void *)&imageWidth); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(unsigned int),(void *)&imageHeight); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(cl_mem),(void *)&convolutionKernel); |
| filterWidth = (unsigned int) kernel->width; |
| filterHeight = (unsigned int) kernel->height; |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(unsigned int),(void *)&filterWidth); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(unsigned int),(void *)&filterHeight); |
| matte = (image->alpha_trait == UndefinedPixelTrait)?1:0; |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(unsigned int),(void *)&matte); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(ChannelType),(void *)&channel); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| localGroupSize[0] = 8; |
| localGroupSize[1] = 8; |
| global_work_size[0] = (image->columns + (localGroupSize[0]-1))/localGroupSize[0] * localGroupSize[0]; |
| global_work_size[1] = (image->rows + (localGroupSize[1]-1))/localGroupSize[1] * localGroupSize[1]; |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, clkernel, 2, NULL, global_work_size, localGroupSize, 0, NULL, NULL); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| clEnv->library->clFlush(queue); |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, filteredImageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, filteredImageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), filteredPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(filteredImage_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| if (filteredImage_view != NULL) |
| filteredImage_view=DestroyCacheView(filteredImage_view); |
| |
| if (imageBuffer != NULL) |
| clEnv->library->clReleaseMemObject(imageBuffer); |
| |
| if (filteredImageBuffer != NULL) |
| clEnv->library->clReleaseMemObject(filteredImageBuffer); |
| |
| if (convolutionKernel != NULL) |
| clEnv->library->clReleaseMemObject(convolutionKernel); |
| |
| if (clkernel != NULL) |
| RelinquishOpenCLKernel(clEnv, clkernel); |
| |
| if (queue != NULL) |
| RelinquishOpenCLCommandQueue(clEnv, queue); |
| |
| if (outputReady == MagickFalse) |
| { |
| if (filteredImage != NULL) |
| { |
| DestroyImage(filteredImage); |
| filteredImage = NULL; |
| } |
| } |
| |
| return(filteredImage); |
| } |
| |
| MagickExport Image *AccelerateConvolveImageChannel(const Image *image, |
| const ChannelType channel,const KernelInfo *kernel,ExceptionInfo *exception) |
| { |
| Image |
| *filteredImage; |
| |
| assert(image != NULL); |
| assert(kernel != (KernelInfo *) NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, channel) == MagickFalse)) |
| return NULL; |
| |
| filteredImage=ComputeConvolveImage(image, channel, kernel, exception); |
| return(filteredImage); |
| } |
| |
| static MagickBooleanType ComputeFunctionImage(Image *image, |
| const ChannelType channel,const MagickFunction function, |
| const size_t number_parameters,const double *parameters, |
| ExceptionInfo *exception) |
| { |
| CacheView |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| clStatus; |
| |
| cl_kernel |
| clkernel; |
| |
| cl_mem |
| imageBuffer, |
| parametersBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| float |
| *parametersBufferPtr; |
| |
| MagickBooleanType |
| status; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| size_t |
| globalWorkSize[2]; |
| |
| unsigned int |
| i; |
| |
| void |
| *pixels; |
| |
| status = MagickFalse; |
| |
| context = NULL; |
| clkernel = NULL; |
| queue = NULL; |
| imageBuffer = NULL; |
| parametersBuffer = NULL; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| |
| image_view=AcquireAuthenticCacheView(image,exception); |
| pixels=GetCacheViewAuthenticPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (pixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), CacheWarning, |
| "GetPixelCachePixels failed.", |
| "'%s'", image->filename); |
| goto cleanup; |
| } |
| |
| |
| if (ALIGNED(pixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)pixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| parametersBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_ONLY|CL_MEM_ALLOC_HOST_PTR, number_parameters * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| parametersBufferPtr = (float*)clEnv->library->clEnqueueMapBuffer(queue, parametersBuffer, CL_TRUE, CL_MAP_WRITE, 0, number_parameters * sizeof(float) |
| , 0, NULL, NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueMapBuffer failed.","."); |
| goto cleanup; |
| } |
| for (i = 0; i < number_parameters; i++) |
| { |
| parametersBufferPtr[i] = (float)parameters[i]; |
| } |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, parametersBuffer, parametersBufferPtr, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| |
| clkernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "FunctionImage"); |
| if (clkernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus =clEnv->library->clSetKernelArg(clkernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(ChannelType),(void *)&channel); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(MagickFunction),(void *)&function); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(unsigned int),(void *)&number_parameters); |
| clStatus|=clEnv->library->clSetKernelArg(clkernel,i++,sizeof(cl_mem),(void *)¶metersBuffer); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| globalWorkSize[0] = image->columns; |
| globalWorkSize[1] = image->rows; |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, clkernel, 2, NULL, globalWorkSize, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| |
| |
| if (ALIGNED(pixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, imageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, imageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), pixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| status=SyncCacheViewAuthenticPixels(image_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| |
| if (clkernel != NULL) RelinquishOpenCLKernel(clEnv, clkernel); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| if (imageBuffer != NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (parametersBuffer != NULL) clEnv->library->clReleaseMemObject(parametersBuffer); |
| |
| return(status); |
| } |
| |
| MagickExport MagickBooleanType AccelerateFunctionImage(Image *image, |
| const ChannelType channel,const MagickFunction function, |
| const size_t number_parameters,const double *parameters, |
| ExceptionInfo *exception) |
| { |
| MagickBooleanType |
| status; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, channel) == MagickFalse)) |
| return(MagickFalse); |
| |
| status=ComputeFunctionImage(image, channel, function, number_parameters, parameters, exception); |
| return(status); |
| } |
| |
| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % B l u r I m a g e w i t h O p e n C L % |
| % % |
| % % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % |
| % BlurImage() blurs an image. We convolve the image with a Gaussian operator |
| % of the given radius and standard deviation (sigma). For reasonable results, |
| % the radius should be larger than sigma. Use a radius of 0 and BlurImage() |
| % selects a suitable radius for you. |
| % |
| % The format of the BlurImage method is: |
| % |
| % Image *BlurImage(const Image *image,const double radius, |
| % const double sigma,ExceptionInfo *exception) |
| % Image *BlurImageChannel(const Image *image,const ChannelType channel, |
| % const double radius,const double sigma,ExceptionInfo *exception) |
| % |
| % A description of each parameter follows: |
| % |
| % o image: the image. |
| % |
| % o channel: the channel type. |
| % |
| % o radius: the radius of the Gaussian, in pixels, not counting the center |
| % pixel. |
| % |
| % o sigma: the standard deviation of the Gaussian, in pixels. |
| % |
| % o exception: return any errors or warnings in this structure. |
| % |
| */ |
| |
| static Image *ComputeBlurImage(const Image* image,const ChannelType channel, |
| const double radius,const double sigma,ExceptionInfo *exception) |
| { |
| CacheView |
| *filteredImage_view, |
| *image_view; |
| |
| char |
| geometry[MagickPathExtent]; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| clStatus; |
| |
| cl_kernel |
| blurColumnKernel, |
| blurRowKernel; |
| |
| cl_mem |
| filteredImageBuffer, |
| imageBuffer, |
| imageKernelBuffer, |
| tempImageBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| const void |
| *inputPixels; |
| |
| float |
| *kernelBufferPtr; |
| |
| Image |
| *filteredImage; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| KernelInfo |
| *kernel; |
| |
| unsigned int |
| i, |
| imageColumns, |
| imageRows, |
| kernelWidth; |
| |
| void |
| *filteredPixels, |
| *hostPtr; |
| |
| context = NULL; |
| filteredImage = NULL; |
| filteredImage_view = NULL; |
| imageBuffer = NULL; |
| tempImageBuffer = NULL; |
| filteredImageBuffer = NULL; |
| imageKernelBuffer = NULL; |
| blurRowKernel = NULL; |
| blurColumnKernel = NULL; |
| queue = NULL; |
| kernel = NULL; |
| |
| outputReady = MagickFalse; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| /* Create and initialize OpenCL buffers. */ |
| { |
| image_view=AcquireVirtualCacheView(image,exception); |
| inputPixels=GetCacheViewVirtualPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (const void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* create output */ |
| { |
| filteredImage = CloneImage(image,image->columns,image->rows,MagickTrue,exception); |
| assert(filteredImage != NULL); |
| if (SetImageStorageClass(filteredImage,DirectClass,exception) != MagickTrue) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "CloneImage failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| filteredImage_view=AcquireAuthenticCacheView(filteredImage,exception); |
| filteredPixels=GetCacheViewAuthenticPixels(filteredImage_view,0,0,filteredImage->columns,filteredImage->rows,exception); |
| if (filteredPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, "UnableToReadPixelCache.","`%s'",filteredImage->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_WRITE_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = filteredPixels; |
| } |
| else |
| { |
| mem_flags = CL_MEM_WRITE_ONLY; |
| hostPtr = NULL; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| filteredImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* create processing kernel */ |
| { |
| (void) FormatLocaleString(geometry,MagickPathExtent,"blur:%.20gx%.20g;blur:%.20gx%.20g+90",radius,sigma,radius,sigma); |
| kernel=AcquireKernelInfo(geometry,exception); |
| if (kernel == (KernelInfo *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "MemoryAllocationFailed.","."); |
| goto cleanup; |
| } |
| |
| imageKernelBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_ONLY|CL_MEM_ALLOC_HOST_PTR, kernel->width * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| kernelBufferPtr = (float*)clEnv->library->clEnqueueMapBuffer(queue, imageKernelBuffer, CL_TRUE, CL_MAP_WRITE, 0, kernel->width * sizeof(float), 0, NULL, NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueMapBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| for (i = 0; i < kernel->width; i++) |
| { |
| kernelBufferPtr[i] = (float) kernel->values[i]; |
| } |
| |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, imageKernelBuffer, kernelBufferPtr, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| { |
| |
| /* create temp buffer */ |
| { |
| length = image->columns * image->rows; |
| tempImageBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_WRITE, length * 4 * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* get the OpenCL kernels */ |
| { |
| blurRowKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "BlurRow"); |
| if (blurRowKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| }; |
| |
| blurColumnKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "BlurColumn"); |
| if (blurColumnKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| }; |
| } |
| |
| { |
| /* need logic to decide this value */ |
| int chunkSize = 256; |
| |
| { |
| imageColumns = (unsigned int) image->columns; |
| imageRows = (unsigned int) image->rows; |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&tempImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(ChannelType),&channel); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&imageKernelBuffer); |
| kernelWidth = (unsigned int) kernel->width; |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&kernelWidth); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&imageColumns); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&imageRows); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(CLPixelPacket)*(chunkSize+kernel->width),(void *) NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| /* launch the kernel */ |
| { |
| size_t gsize[2]; |
| size_t wsize[2]; |
| |
| gsize[0] = chunkSize*((image->columns+chunkSize-1)/chunkSize); |
| gsize[1] = image->rows; |
| wsize[0] = chunkSize; |
| wsize[1] = 1; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, blurRowKernel, 2, NULL, gsize, wsize, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| } |
| } |
| |
| { |
| /* need logic to decide this value */ |
| int chunkSize = 256; |
| |
| { |
| imageColumns = (unsigned int) image->columns; |
| imageRows = (unsigned int) image->rows; |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(cl_mem),(void *)&tempImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(cl_mem),(void *)&filteredImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(ChannelType),&channel); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(cl_mem),(void *)&imageKernelBuffer); |
| kernelWidth = (unsigned int) kernel->width; |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(unsigned int),(void *)&kernelWidth); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(unsigned int),(void *)&imageColumns); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(unsigned int),(void *)&imageRows); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(cl_float4)*(chunkSize+kernel->width),(void *) NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| /* launch the kernel */ |
| { |
| size_t gsize[2]; |
| size_t wsize[2]; |
| |
| gsize[0] = image->columns; |
| gsize[1] = chunkSize*((image->rows+chunkSize-1)/chunkSize); |
| wsize[0] = 1; |
| wsize[1] = chunkSize; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, blurColumnKernel, 2, NULL, gsize, wsize, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| } |
| } |
| |
| } |
| |
| /* get result */ |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, filteredImageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, filteredImageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), filteredPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(filteredImage_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| if (filteredImage_view != NULL) |
| filteredImage_view=DestroyCacheView(filteredImage_view); |
| |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (tempImageBuffer!=NULL) clEnv->library->clReleaseMemObject(tempImageBuffer); |
| if (filteredImageBuffer!=NULL) clEnv->library->clReleaseMemObject(filteredImageBuffer); |
| if (imageKernelBuffer!=NULL) clEnv->library->clReleaseMemObject(imageKernelBuffer); |
| if (blurRowKernel!=NULL) RelinquishOpenCLKernel(clEnv, blurRowKernel); |
| if (blurColumnKernel!=NULL) RelinquishOpenCLKernel(clEnv, blurColumnKernel); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| if (kernel!=NULL) DestroyKernelInfo(kernel); |
| if (outputReady == MagickFalse && filteredImage != NULL) |
| filteredImage=DestroyImage(filteredImage); |
| return(filteredImage); |
| } |
| |
| static Image* ComputeBlurImageSection(const Image* image, |
| const ChannelType channel,const double radius,const double sigma, |
| ExceptionInfo *exception) |
| { |
| CacheView |
| *filteredImage_view, |
| *image_view; |
| |
| char |
| geometry[MagickPathExtent]; |
| |
| cl_command_queue |
| queue; |
| |
| cl_int |
| clStatus; |
| |
| cl_kernel |
| blurColumnKernel, |
| blurRowKernel; |
| |
| cl_mem |
| imageBuffer, |
| tempImageBuffer, |
| filteredImageBuffer, |
| imageKernelBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| cl_context |
| context; |
| |
| const void |
| *inputPixels; |
| |
| float |
| *kernelBufferPtr; |
| |
| Image |
| *filteredImage; |
| |
| KernelInfo |
| *kernel; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| unsigned int |
| i, |
| imageColumns, |
| imageRows, |
| kernelWidth; |
| |
| void |
| *filteredPixels, |
| *hostPtr; |
| |
| context = NULL; |
| filteredImage = NULL; |
| filteredImage_view = NULL; |
| imageBuffer = NULL; |
| tempImageBuffer = NULL; |
| filteredImageBuffer = NULL; |
| imageKernelBuffer = NULL; |
| blurRowKernel = NULL; |
| blurColumnKernel = NULL; |
| queue = NULL; |
| kernel = NULL; |
| |
| outputReady = MagickFalse; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| /* Create and initialize OpenCL buffers. */ |
| { |
| image_view=AcquireVirtualCacheView(image,exception); |
| inputPixels=GetCacheViewVirtualPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (const void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* create output */ |
| { |
| filteredImage = CloneImage(image,image->columns,image->rows,MagickTrue,exception); |
| assert(filteredImage != NULL); |
| if (SetImageStorageClass(filteredImage,DirectClass,exception) != MagickTrue) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "CloneImage failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| filteredImage_view=AcquireAuthenticCacheView(filteredImage,exception); |
| filteredPixels=GetCacheViewAuthenticPixels(filteredImage_view,0,0,filteredImage->columns,filteredImage->rows,exception); |
| if (filteredPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, "UnableToReadPixelCache.","`%s'",filteredImage->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_WRITE_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = filteredPixels; |
| } |
| else |
| { |
| mem_flags = CL_MEM_WRITE_ONLY; |
| hostPtr = NULL; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| filteredImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* create processing kernel */ |
| { |
| (void) FormatLocaleString(geometry,MagickPathExtent,"blur:%.20gx%.20g;blur:%.20gx%.20g+90",radius,sigma,radius,sigma); |
| kernel=AcquireKernelInfo(geometry,exception); |
| if (kernel == (KernelInfo *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "MemoryAllocationFailed.","."); |
| goto cleanup; |
| } |
| |
| imageKernelBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_ONLY|CL_MEM_ALLOC_HOST_PTR, kernel->width * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| kernelBufferPtr = (float*)clEnv->library->clEnqueueMapBuffer(queue, imageKernelBuffer, CL_TRUE, CL_MAP_WRITE, 0, kernel->width * sizeof(float), 0, NULL, NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueMapBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| for (i = 0; i < kernel->width; i++) |
| { |
| kernelBufferPtr[i] = (float) kernel->values[i]; |
| } |
| |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, imageKernelBuffer, kernelBufferPtr, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| { |
| unsigned int offsetRows; |
| unsigned int sec; |
| |
| /* create temp buffer */ |
| { |
| length = image->columns * (image->rows / 2 + 1 + (kernel->width-1) / 2); |
| tempImageBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_WRITE, length * 4 * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* get the OpenCL kernels */ |
| { |
| blurRowKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "BlurRowSection"); |
| if (blurRowKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| }; |
| |
| blurColumnKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "BlurColumnSection"); |
| if (blurColumnKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| }; |
| } |
| |
| for (sec = 0; sec < 2; sec++) |
| { |
| { |
| /* need logic to decide this value */ |
| int chunkSize = 256; |
| |
| { |
| imageColumns = (unsigned int) image->columns; |
| if (sec == 0) |
| imageRows = (unsigned int) (image->rows / 2 + (kernel->width-1) / 2); |
| else |
| imageRows = (unsigned int) ((image->rows - image->rows / 2) + (kernel->width-1) / 2); |
| |
| offsetRows = (unsigned int) (sec * image->rows / 2); |
| |
| kernelWidth = (unsigned int) kernel->width; |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&tempImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(ChannelType),&channel); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&imageKernelBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&kernelWidth); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&imageColumns); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&imageRows); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(CLPixelPacket)*(chunkSize+kernel->width),(void *) NULL); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&offsetRows); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&sec); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| /* launch the kernel */ |
| { |
| size_t gsize[2]; |
| size_t wsize[2]; |
| |
| gsize[0] = chunkSize*((imageColumns+chunkSize-1)/chunkSize); |
| gsize[1] = imageRows; |
| wsize[0] = chunkSize; |
| wsize[1] = 1; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, blurRowKernel, 2, NULL, gsize, wsize, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| } |
| } |
| |
| { |
| /* need logic to decide this value */ |
| int chunkSize = 256; |
| |
| { |
| imageColumns = (unsigned int) image->columns; |
| if (sec == 0) |
| imageRows = (unsigned int) (image->rows / 2); |
| else |
| imageRows = (unsigned int) ((image->rows - image->rows / 2)); |
| |
| offsetRows = (unsigned int) (sec * image->rows / 2); |
| |
| kernelWidth = (unsigned int) kernel->width; |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(cl_mem),(void *)&tempImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(cl_mem),(void *)&filteredImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(ChannelType),&channel); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(cl_mem),(void *)&imageKernelBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(unsigned int),(void *)&kernelWidth); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(unsigned int),(void *)&imageColumns); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(unsigned int),(void *)&imageRows); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(cl_float4)*(chunkSize+kernel->width),(void *) NULL); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(unsigned int),(void *)&offsetRows); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(unsigned int),(void *)&sec); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| /* launch the kernel */ |
| { |
| size_t gsize[2]; |
| size_t wsize[2]; |
| |
| gsize[0] = imageColumns; |
| gsize[1] = chunkSize*((imageRows+chunkSize-1)/chunkSize); |
| wsize[0] = 1; |
| wsize[1] = chunkSize; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, blurColumnKernel, 2, NULL, gsize, wsize, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| } |
| } |
| } |
| |
| } |
| |
| /* get result */ |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, filteredImageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, filteredImageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), filteredPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(filteredImage_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| if (filteredImage_view != NULL) |
| filteredImage_view=DestroyCacheView(filteredImage_view); |
| |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (tempImageBuffer!=NULL) clEnv->library->clReleaseMemObject(tempImageBuffer); |
| if (filteredImageBuffer!=NULL) clEnv->library->clReleaseMemObject(filteredImageBuffer); |
| if (imageKernelBuffer!=NULL) clEnv->library->clReleaseMemObject(imageKernelBuffer); |
| if (blurRowKernel!=NULL) RelinquishOpenCLKernel(clEnv, blurRowKernel); |
| if (blurColumnKernel!=NULL) RelinquishOpenCLKernel(clEnv, blurColumnKernel); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| if (kernel!=NULL) DestroyKernelInfo(kernel); |
| if (outputReady == MagickFalse) |
| { |
| if (filteredImage != NULL) |
| { |
| DestroyImage(filteredImage); |
| filteredImage = NULL; |
| } |
| } |
| return filteredImage; |
| } |
| |
| static Image *ComputeUnsharpMaskImageSingle(const Image *image, |
| const ChannelType channel,const double radius,const double sigma, |
| const double gain,const double threshold,int blurOnly, ExceptionInfo *exception); |
| |
| static Image* ComputeBlurImageSingle(const Image* image, |
| const ChannelType channel,const double radius,const double sigma, |
| ExceptionInfo *exception) |
| { |
| return ComputeUnsharpMaskImageSingle(image, channel, radius, sigma, 0.0, 0.0, 1, exception); |
| } |
| |
| MagickExport Image* AccelerateBlurImage(const Image *image, |
| const ChannelType channel,const double radius,const double sigma, |
| ExceptionInfo *exception) |
| { |
| Image |
| *filteredImage; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, channel) == MagickFalse)) |
| return NULL; |
| |
| if (radius < 12.1) |
| filteredImage=ComputeBlurImageSingle(image, channel, radius, sigma, exception); |
| else if (splitImage(image) && (image->rows / 2 > radius)) |
| filteredImage=ComputeBlurImageSection(image, channel, radius, sigma, exception); |
| else |
| filteredImage=ComputeBlurImage(image, channel, radius, sigma, exception); |
| |
| return(filteredImage); |
| } |
| |
| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % LocalContrastImage w i t h O p e n C L % |
| % % |
| % % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % |
| % ComputeLocalContrastImage() attempts to increase the appearance of |
| % large-scale light-dark transitions. Local contrast enhancement works |
| % similarly to sharpening with an unsharp mask, however the mask is instead |
| % created using an image with a greater blur distance. |
| % |
| % The format of the ComputeLocalContrastImage method is: |
| % |
| % Image *ComputeLocalContrastImage(const Image *image, |
| % const ChannelType channel,const double radius,const double strength, |
| % ExceptionInfo *exception) |
| % Image *AccelerateLocalContrastImage(const Image *image, |
| % const ChannelType channel,const double radius,const double strength, |
| % ExceptionInfo *exception) |
| % |
| % A description of each parameter follows: |
| % |
| % o image: the image. |
| % |
| % o radius: the radius of the Gaussian, in pixels, not counting |
| % the center pixel. |
| % |
| % o strength: the strength of the blur mask in percentage. |
| % |
| % o exception: return any errors or warnings in this structure. |
| % |
| */ |
| |
| static Image *ComputeLocalContrastImage(const Image *image, |
| const double radius,const double strength,ExceptionInfo *exception) |
| { |
| CacheView |
| *filteredImage_view, |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| clStatus, |
| iRadius; |
| |
| cl_kernel |
| blurRowKernel, |
| blurColumnKernel; |
| |
| cl_event |
| event; |
| |
| cl_mem |
| filteredImageBuffer, |
| imageBuffer, |
| imageKernelBuffer, |
| tempImageBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| const void |
| *inputPixels; |
| |
| Image |
| *filteredImage; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| void |
| *filteredPixels, |
| *hostPtr; |
| |
| unsigned int |
| i, |
| imageColumns, |
| imageRows, |
| passes; |
| |
| clEnv = NULL; |
| filteredImage = NULL; |
| filteredImage_view = NULL; |
| context = NULL; |
| imageBuffer = NULL; |
| filteredImageBuffer = NULL; |
| tempImageBuffer = NULL; |
| imageKernelBuffer = NULL; |
| blurRowKernel = NULL; |
| blurColumnKernel = NULL; |
| queue = NULL; |
| outputReady = MagickFalse; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| /* Create and initialize OpenCL buffers. */ |
| { |
| image_view=AcquireVirtualCacheView(image,exception); |
| inputPixels=GetCacheViewVirtualPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (const void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* create output */ |
| { |
| filteredImage = CloneImage(image,image->columns,image->rows,MagickTrue,exception); |
| assert(filteredImage != NULL); |
| if (SetImageStorageClass(filteredImage,DirectClass,exception) != MagickTrue) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "CloneImage failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| filteredImage_view=AcquireAuthenticCacheView(filteredImage,exception); |
| filteredPixels=GetCacheViewAuthenticPixels(filteredImage_view,0,0,filteredImage->columns,filteredImage->rows,exception); |
| if (filteredPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, "UnableToReadPixelCache.","`%s'",filteredImage->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_WRITE_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = filteredPixels; |
| } |
| else |
| { |
| mem_flags = CL_MEM_WRITE_ONLY; |
| hostPtr = NULL; |
| } |
| |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| filteredImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| { |
| /* create temp buffer */ |
| { |
| length = image->columns * image->rows; |
| tempImageBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_WRITE, length * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* get the opencl kernel */ |
| { |
| blurRowKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "LocalContrastBlurRow"); |
| if (blurRowKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| }; |
| |
| blurColumnKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "LocalContrastBlurApplyColumn"); |
| if (blurColumnKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| }; |
| } |
| |
| { |
| imageColumns = (unsigned int) image->columns; |
| imageRows = (unsigned int) image->rows; |
| iRadius = (cl_int) fabs(radius); |
| |
| passes = ((1.0f * imageColumns) * imageColumns * iRadius) / 4000000000.0f; |
| passes = (passes < 1) ? 1: passes; |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&filteredImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&tempImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_int),(void *)&iRadius); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&imageColumns); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&imageRows); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| /* launch the kernel */ |
| { |
| int x; |
| for (x = 0; x < passes; ++x) { |
| size_t gsize[2]; |
| size_t wsize[2]; |
| size_t goffset[2]; |
| |
| gsize[0] = 256; |
| gsize[1] = image->rows / passes; |
| wsize[0] = 256; |
| wsize[1] = 1; |
| goffset[0] = 0; |
| goffset[1] = x * gsize[1]; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, blurRowKernel, 2, goffset, gsize, wsize, 0, NULL, &event); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| } |
| |
| { |
| cl_float FStrength = strength; |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(cl_mem),(void *)&filteredImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(cl_mem),(void *)&tempImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(unsigned int),(void *)&iRadius); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(cl_float),(void *)&FStrength); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(unsigned int),(void *)&imageColumns); |
| clStatus|=clEnv->library->clSetKernelArg(blurColumnKernel,i++,sizeof(unsigned int),(void *)&imageRows); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| /* launch the kernel */ |
| { |
| int x; |
| for (x = 0; x < passes; ++x) { |
| size_t gsize[2]; |
| size_t wsize[2]; |
| size_t goffset[2]; |
| |
| gsize[0] = ((image->columns + 3) / 4) * 4; |
| gsize[1] = ((((image->rows + 63) / 64) + (passes + 1)) / passes) * 64; |
| wsize[0] = 4; |
| wsize[1] = 64; |
| goffset[0] = 0; |
| goffset[1] = x * gsize[1]; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, blurColumnKernel, 2, goffset, gsize, wsize, 0, NULL, &event); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| } |
| } |
| |
| /* get result */ |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, filteredImageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, filteredImageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), filteredPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(filteredImage_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| if (filteredImage_view != NULL) |
| filteredImage_view=DestroyCacheView(filteredImage_view); |
| |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (filteredImageBuffer!=NULL) clEnv->library->clReleaseMemObject(filteredImageBuffer); |
| if (tempImageBuffer!=NULL) clEnv->library->clReleaseMemObject(tempImageBuffer); |
| if (imageKernelBuffer!=NULL) clEnv->library->clReleaseMemObject(imageKernelBuffer); |
| if (blurRowKernel!=NULL) RelinquishOpenCLKernel(clEnv, blurRowKernel); |
| if (blurColumnKernel!=NULL) RelinquishOpenCLKernel(clEnv, blurColumnKernel); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| if (outputReady == MagickFalse) |
| { |
| if (filteredImage != NULL) |
| { |
| DestroyImage(filteredImage); |
| filteredImage = NULL; |
| } |
| } |
| return(filteredImage); |
| } |
| |
| MagickExport Image *AccelerateLocalContrastImage(const Image *image, |
| const double radius,const double strength,ExceptionInfo *exception) |
| { |
| Image |
| *filteredImage; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, AllChannels) == MagickFalse)) |
| return NULL; |
| |
| filteredImage=ComputeLocalContrastImage(image,radius,strength,exception); |
| |
| return(filteredImage); |
| } |
| |
| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % R o t a t i o n a l B l u r I m a g e w i t h O p e n C L % |
| % % |
| % % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % |
| % RotationalBlurImage() applies a rotational blur to the image. |
| % |
| % Andrew Protano contributed this effect. |
| % |
| % The format of the RotationalBlurImage method is: |
| % |
| % Image *RotationalBlurImage(const Image *image,const double angle, |
| % ExceptionInfo *exception) |
| % Image *RotationalBlurImageChannel(const Image *image,const ChannelType channel, |
| % const double angle,ExceptionInfo *exception) |
| % |
| % A description of each parameter follows: |
| % |
| % o image: the image. |
| % |
| % o channel: the channel type. |
| % |
| % o angle: the angle of the rotational blur. |
| % |
| % o exception: return any errors or warnings in this structure. |
| % |
| */ |
| |
| static Image* ComputeRotationalBlurImage(const Image *image, |
| const ChannelType channel,const double angle,ExceptionInfo *exception) |
| { |
| CacheView |
| *image_view, |
| *filteredImage_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_float2 |
| blurCenter; |
| |
| cl_float4 |
| biasPixel; |
| |
| cl_int |
| clStatus; |
| |
| cl_mem |
| cosThetaBuffer, |
| filteredImageBuffer, |
| imageBuffer, |
| sinThetaBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| cl_kernel |
| rotationalBlurKernel; |
| |
| const void |
| *inputPixels; |
| |
| float |
| blurRadius, |
| *cosThetaPtr, |
| offset, |
| *sinThetaPtr, |
| theta; |
| |
| Image |
| *filteredImage; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| PixelInfo |
| bias; |
| |
| MagickSizeType |
| length; |
| |
| size_t |
| global_work_size[2]; |
| |
| unsigned int |
| cossin_theta_size, |
| i, |
| matte; |
| |
| void |
| *filteredPixels, |
| *hostPtr; |
| |
| outputReady = MagickFalse; |
| context = NULL; |
| filteredImage = NULL; |
| filteredImage_view = NULL; |
| imageBuffer = NULL; |
| filteredImageBuffer = NULL; |
| sinThetaBuffer = NULL; |
| cosThetaBuffer = NULL; |
| queue = NULL; |
| rotationalBlurKernel = NULL; |
| |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| |
| |
| /* Create and initialize OpenCL buffers. */ |
| |
| image_view=AcquireVirtualCacheView(image,exception); |
| inputPixels=GetCacheViewVirtualPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (const void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| |
| filteredImage = CloneImage(image,image->columns,image->rows,MagickTrue,exception); |
| assert(filteredImage != NULL); |
| if (SetImageStorageClass(filteredImage,DirectClass,exception) != MagickTrue) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "CloneImage failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| filteredImage_view=AcquireAuthenticCacheView(filteredImage,exception); |
| filteredPixels=GetCacheViewAuthenticPixels(filteredImage_view,0,0,filteredImage->columns,filteredImage->rows,exception); |
| if (filteredPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, "UnableToReadPixelCache.","`%s'",filteredImage->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_WRITE_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = filteredPixels; |
| } |
| else |
| { |
| mem_flags = CL_MEM_WRITE_ONLY; |
| hostPtr = NULL; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| filteredImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| blurCenter.s[0] = (float) (image->columns-1)/2.0; |
| blurCenter.s[1] = (float) (image->rows-1)/2.0; |
| blurRadius=hypot(blurCenter.s[0],blurCenter.s[1]); |
| cossin_theta_size=(unsigned int) fabs(4.0*DegreesToRadians(angle)*sqrt((double)blurRadius)+2UL); |
| |
| /* create a buffer for sin_theta and cos_theta */ |
| sinThetaBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_ONLY|CL_MEM_ALLOC_HOST_PTR, cossin_theta_size * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| cosThetaBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_ONLY|CL_MEM_ALLOC_HOST_PTR, cossin_theta_size * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| sinThetaPtr = (float*) clEnv->library->clEnqueueMapBuffer(queue, sinThetaBuffer, CL_TRUE, CL_MAP_WRITE, 0, cossin_theta_size*sizeof(float), 0, NULL, NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnqueuemapBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| cosThetaPtr = (float*) clEnv->library->clEnqueueMapBuffer(queue, cosThetaBuffer, CL_TRUE, CL_MAP_WRITE, 0, cossin_theta_size*sizeof(float), 0, NULL, NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnqueuemapBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| theta=DegreesToRadians(angle)/(MagickRealType) (cossin_theta_size-1); |
| offset=theta*(MagickRealType) (cossin_theta_size-1)/2.0; |
| for (i=0; i < (ssize_t) cossin_theta_size; i++) |
| { |
| cosThetaPtr[i]=(float)cos((double) (theta*i-offset)); |
| sinThetaPtr[i]=(float)sin((double) (theta*i-offset)); |
| } |
| |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, sinThetaBuffer, sinThetaPtr, 0, NULL, NULL); |
| clStatus |= clEnv->library->clEnqueueUnmapMemObject(queue, cosThetaBuffer, cosThetaPtr, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* get the OpenCL kernel */ |
| rotationalBlurKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "RotationalBlur"); |
| if (rotationalBlurKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(rotationalBlurKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(rotationalBlurKernel,i++,sizeof(cl_mem),(void *)&filteredImageBuffer); |
| |
| GetPixelInfo(image,&bias); |
| biasPixel.s[0] = bias.red; |
| biasPixel.s[1] = bias.green; |
| biasPixel.s[2] = bias.blue; |
| biasPixel.s[3] = bias.alpha; |
| clStatus|=clEnv->library->clSetKernelArg(rotationalBlurKernel,i++,sizeof(cl_float4), &biasPixel); |
| clStatus|=clEnv->library->clSetKernelArg(rotationalBlurKernel,i++,sizeof(ChannelType), &channel); |
| |
| matte = (image->alpha_trait == UndefinedPixelTrait)?1:0; |
| clStatus|=clEnv->library->clSetKernelArg(rotationalBlurKernel,i++,sizeof(unsigned int), &matte); |
| |
| clStatus=clEnv->library->clSetKernelArg(rotationalBlurKernel,i++,sizeof(cl_float2), &blurCenter); |
| |
| clStatus|=clEnv->library->clSetKernelArg(rotationalBlurKernel,i++,sizeof(cl_mem),(void *)&cosThetaBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(rotationalBlurKernel,i++,sizeof(cl_mem),(void *)&sinThetaBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(rotationalBlurKernel,i++,sizeof(unsigned int), &cossin_theta_size); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| |
| global_work_size[0] = image->columns; |
| global_work_size[1] = image->rows; |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, rotationalBlurKernel, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, filteredImageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, filteredImageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), filteredPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| outputReady=SyncCacheViewAuthenticPixels(filteredImage_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| if (filteredImage_view != NULL) |
| filteredImage_view=DestroyCacheView(filteredImage_view); |
| |
| if (filteredImageBuffer!=NULL) clEnv->library->clReleaseMemObject(filteredImageBuffer); |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (sinThetaBuffer!=NULL) clEnv->library->clReleaseMemObject(sinThetaBuffer); |
| if (cosThetaBuffer!=NULL) clEnv->library->clReleaseMemObject(cosThetaBuffer); |
| if (rotationalBlurKernel!=NULL) RelinquishOpenCLKernel(clEnv, rotationalBlurKernel); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| if (outputReady == MagickFalse) |
| { |
| if (filteredImage != NULL) |
| { |
| DestroyImage(filteredImage); |
| filteredImage = NULL; |
| } |
| } |
| return filteredImage; |
| } |
| |
| MagickExport Image* AccelerateRotationalBlurImage(const Image *image, |
| const ChannelType channel,const double angle,ExceptionInfo *exception) |
| { |
| Image |
| *filteredImage; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, channel) == MagickFalse)) |
| return NULL; |
| |
| filteredImage=ComputeRotationalBlurImage(image, channel, angle, exception); |
| return filteredImage; |
| } |
| |
| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % U n s h a r p M a s k I m a g e w i t h O p e n C L % |
| % % |
| % % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % |
| % UnsharpMaskImage() sharpens one or more image channels. We convolve the |
| % image with a Gaussian operator of the given radius and standard deviation |
| % (sigma). For reasonable results, radius should be larger than sigma. Use a |
| % radius of 0 and UnsharpMaskImage() selects a suitable radius for you. |
| % |
| % The format of the UnsharpMaskImage method is: |
| % |
| % Image *UnsharpMaskImage(const Image *image,const double radius, |
| % const double sigma,const double amount,const double threshold, |
| % ExceptionInfo *exception) |
| % Image *UnsharpMaskImageChannel(const Image *image, |
| % const ChannelType channel,const double radius,const double sigma, |
| % const double gain,const double threshold,ExceptionInfo *exception) |
| % |
| % A description of each parameter follows: |
| % |
| % o image: the image. |
| % |
| % o channel: the channel type. |
| % |
| % o radius: the radius of the Gaussian, in pixels, not counting the center |
| % pixel. |
| % |
| % o sigma: the standard deviation of the Gaussian, in pixels. |
| % |
| % o gain: the percentage of the difference between the original and the |
| % blur image that is added back into the original. |
| % |
| % o threshold: the threshold in pixels needed to apply the diffence gain. |
| % |
| % o exception: return any errors or warnings in this structure. |
| % |
| */ |
| |
| static Image *ComputeUnsharpMaskImage(const Image *image, |
| const ChannelType channel,const double radius,const double sigma, |
| const double gain,const double threshold,ExceptionInfo *exception) |
| { |
| CacheView |
| *filteredImage_view, |
| *image_view; |
| |
| char |
| geometry[MagickPathExtent]; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| clStatus; |
| |
| cl_kernel |
| blurRowKernel, |
| unsharpMaskBlurColumnKernel; |
| |
| cl_mem |
| filteredImageBuffer, |
| imageBuffer, |
| imageKernelBuffer, |
| tempImageBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| const void |
| *inputPixels; |
| |
| float |
| fGain, |
| fThreshold, |
| *kernelBufferPtr; |
| |
| Image |
| *filteredImage; |
| |
| int |
| chunkSize; |
| |
| KernelInfo |
| *kernel; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| void |
| *filteredPixels, |
| *hostPtr; |
| |
| unsigned int |
| i, |
| imageColumns, |
| imageRows, |
| kernelWidth; |
| |
| clEnv = NULL; |
| filteredImage = NULL; |
| filteredImage_view = NULL; |
| kernel = NULL; |
| context = NULL; |
| imageBuffer = NULL; |
| filteredImageBuffer = NULL; |
| tempImageBuffer = NULL; |
| imageKernelBuffer = NULL; |
| blurRowKernel = NULL; |
| unsharpMaskBlurColumnKernel = NULL; |
| queue = NULL; |
| outputReady = MagickFalse; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| /* Create and initialize OpenCL buffers. */ |
| { |
| image_view=AcquireVirtualCacheView(image,exception); |
| inputPixels=GetCacheViewVirtualPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (const void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* create output */ |
| { |
| filteredImage = CloneImage(image,image->columns,image->rows,MagickTrue,exception); |
| assert(filteredImage != NULL); |
| if (SetImageStorageClass(filteredImage,DirectClass,exception) != MagickTrue) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "CloneImage failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| filteredImage_view=AcquireAuthenticCacheView(filteredImage,exception); |
| filteredPixels=GetCacheViewAuthenticPixels(filteredImage_view,0,0,filteredImage->columns,filteredImage->rows,exception); |
| if (filteredPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, "UnableToReadPixelCache.","`%s'",filteredImage->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_WRITE_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = filteredPixels; |
| } |
| else |
| { |
| mem_flags = CL_MEM_WRITE_ONLY; |
| hostPtr = NULL; |
| } |
| |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| filteredImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* create the blur kernel */ |
| { |
| (void) FormatLocaleString(geometry,MagickPathExtent,"blur:%.20gx%.20g;blur:%.20gx%.20g+90",radius,sigma,radius,sigma); |
| kernel=AcquireKernelInfo(geometry,exception); |
| if (kernel == (KernelInfo *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireKernelInfo failed.","."); |
| goto cleanup; |
| } |
| |
| imageKernelBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_ONLY, kernel->width * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| |
| kernelBufferPtr = (float*)clEnv->library->clEnqueueMapBuffer(queue, imageKernelBuffer, CL_TRUE, CL_MAP_WRITE, 0, kernel->width * sizeof(float), 0, NULL, NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueMapBuffer failed.","."); |
| goto cleanup; |
| } |
| for (i = 0; i < kernel->width; i++) |
| { |
| kernelBufferPtr[i] = (float) kernel->values[i]; |
| } |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, imageKernelBuffer, kernelBufferPtr, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| { |
| /* create temp buffer */ |
| { |
| length = image->columns * image->rows; |
| tempImageBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_WRITE, length * 4 * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* get the opencl kernel */ |
| { |
| blurRowKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "BlurRow"); |
| if (blurRowKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| }; |
| |
| unsharpMaskBlurColumnKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "UnsharpMaskBlurColumn"); |
| if (unsharpMaskBlurColumnKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| }; |
| } |
| |
| { |
| chunkSize = 256; |
| |
| imageColumns = (unsigned int) image->columns; |
| imageRows = (unsigned int) image->rows; |
| |
| kernelWidth = (unsigned int) kernel->width; |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&tempImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(ChannelType),&channel); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&imageKernelBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&kernelWidth); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&imageColumns); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&imageRows); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(CLPixelPacket)*(chunkSize+kernel->width),(void *) NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| /* launch the kernel */ |
| { |
| size_t gsize[2]; |
| size_t wsize[2]; |
| |
| gsize[0] = chunkSize*((image->columns+chunkSize-1)/chunkSize); |
| gsize[1] = image->rows; |
| wsize[0] = chunkSize; |
| wsize[1] = 1; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, blurRowKernel, 2, NULL, gsize, wsize, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| } |
| |
| |
| { |
| chunkSize = 256; |
| imageColumns = (unsigned int) image->columns; |
| imageRows = (unsigned int) image->rows; |
| kernelWidth = (unsigned int) kernel->width; |
| fGain = (float) gain; |
| fThreshold = (float) threshold; |
| |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(cl_mem),(void *)&tempImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(cl_mem),(void *)&filteredImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(unsigned int),(void *)&imageColumns); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(unsigned int),(void *)&imageRows); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++, (chunkSize+kernelWidth-1)*sizeof(cl_float4),NULL); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++, kernelWidth*sizeof(float),NULL); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(ChannelType),&channel); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(cl_mem),(void *)&imageKernelBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(unsigned int),(void *)&kernelWidth); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(float),(void *)&fGain); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(float),(void *)&fThreshold); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| /* launch the kernel */ |
| { |
| size_t gsize[2]; |
| size_t wsize[2]; |
| |
| gsize[0] = image->columns; |
| gsize[1] = chunkSize*((image->rows+chunkSize-1)/chunkSize); |
| wsize[0] = 1; |
| wsize[1] = chunkSize; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, unsharpMaskBlurColumnKernel, 2, NULL, gsize, wsize, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| } |
| |
| } |
| |
| /* get result */ |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, filteredImageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, filteredImageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), filteredPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(filteredImage_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| if (filteredImage_view != NULL) |
| filteredImage_view=DestroyCacheView(filteredImage_view); |
| |
| if (kernel != NULL) kernel=DestroyKernelInfo(kernel); |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (filteredImageBuffer!=NULL) clEnv->library->clReleaseMemObject(filteredImageBuffer); |
| if (tempImageBuffer!=NULL) clEnv->library->clReleaseMemObject(tempImageBuffer); |
| if (imageKernelBuffer!=NULL) clEnv->library->clReleaseMemObject(imageKernelBuffer); |
| if (blurRowKernel!=NULL) RelinquishOpenCLKernel(clEnv, blurRowKernel); |
| if (unsharpMaskBlurColumnKernel!=NULL) RelinquishOpenCLKernel(clEnv, unsharpMaskBlurColumnKernel); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| if (outputReady == MagickFalse) |
| { |
| if (filteredImage != NULL) |
| { |
| DestroyImage(filteredImage); |
| filteredImage = NULL; |
| } |
| } |
| return(filteredImage); |
| } |
| |
| static Image *ComputeUnsharpMaskImageSection(const Image *image, |
| const ChannelType channel,const double radius,const double sigma, |
| const double gain,const double threshold,ExceptionInfo *exception) |
| { |
| CacheView |
| *filteredImage_view, |
| *image_view; |
| |
| char |
| geometry[MagickPathExtent]; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| clStatus; |
| |
| cl_kernel |
| blurRowKernel, |
| unsharpMaskBlurColumnKernel; |
| |
| cl_mem |
| filteredImageBuffer, |
| imageBuffer, |
| imageKernelBuffer, |
| tempImageBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| const void |
| *inputPixels; |
| |
| float |
| fGain, |
| fThreshold, |
| *kernelBufferPtr; |
| |
| Image |
| *filteredImage; |
| |
| int |
| chunkSize; |
| |
| KernelInfo |
| *kernel; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| void |
| *filteredPixels, |
| *hostPtr; |
| |
| unsigned int |
| i, |
| imageColumns, |
| imageRows, |
| kernelWidth; |
| |
| clEnv = NULL; |
| filteredImage = NULL; |
| filteredImage_view = NULL; |
| kernel = NULL; |
| context = NULL; |
| imageBuffer = NULL; |
| filteredImageBuffer = NULL; |
| tempImageBuffer = NULL; |
| imageKernelBuffer = NULL; |
| blurRowKernel = NULL; |
| unsharpMaskBlurColumnKernel = NULL; |
| queue = NULL; |
| outputReady = MagickFalse; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| /* Create and initialize OpenCL buffers. */ |
| { |
| image_view=AcquireVirtualCacheView(image,exception); |
| inputPixels=GetCacheViewVirtualPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (const void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* create output */ |
| { |
| filteredImage = CloneImage(image,image->columns,image->rows,MagickTrue,exception); |
| assert(filteredImage != NULL); |
| if (SetImageStorageClass(filteredImage,DirectClass,exception) != MagickTrue) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "CloneImage failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| filteredImage_view=AcquireAuthenticCacheView(filteredImage,exception); |
| filteredPixels=GetCacheViewAuthenticPixels(filteredImage_view,0,0,filteredImage->columns,filteredImage->rows,exception); |
| if (filteredPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, "UnableToReadPixelCache.","`%s'",filteredImage->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_WRITE_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = filteredPixels; |
| } |
| else |
| { |
| mem_flags = CL_MEM_WRITE_ONLY; |
| hostPtr = NULL; |
| } |
| |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| filteredImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* create the blur kernel */ |
| { |
| (void) FormatLocaleString(geometry,MagickPathExtent,"blur:%.20gx%.20g;blur:%.20gx%.20g+90",radius,sigma,radius,sigma); |
| kernel=AcquireKernelInfo(geometry,exception); |
| if (kernel == (KernelInfo *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireKernelInfo failed.","."); |
| goto cleanup; |
| } |
| |
| imageKernelBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_ONLY, kernel->width * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| |
| kernelBufferPtr = (float*)clEnv->library->clEnqueueMapBuffer(queue, imageKernelBuffer, CL_TRUE, CL_MAP_WRITE, 0, kernel->width * sizeof(float), 0, NULL, NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueMapBuffer failed.","."); |
| goto cleanup; |
| } |
| for (i = 0; i < kernel->width; i++) |
| { |
| kernelBufferPtr[i] = (float) kernel->values[i]; |
| } |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, imageKernelBuffer, kernelBufferPtr, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| { |
| unsigned int offsetRows; |
| unsigned int sec; |
| |
| /* create temp buffer */ |
| { |
| length = image->columns * (image->rows / 2 + 1 + (kernel->width-1) / 2); |
| tempImageBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_WRITE, length * 4 * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* get the opencl kernel */ |
| { |
| blurRowKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "BlurRowSection"); |
| if (blurRowKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| }; |
| |
| unsharpMaskBlurColumnKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "UnsharpMaskBlurColumnSection"); |
| if (unsharpMaskBlurColumnKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| }; |
| } |
| |
| for (sec = 0; sec < 2; sec++) |
| { |
| { |
| chunkSize = 256; |
| |
| imageColumns = (unsigned int) image->columns; |
| if (sec == 0) |
| imageRows = (unsigned int) (image->rows / 2 + (kernel->width-1) / 2); |
| else |
| imageRows = (unsigned int) ((image->rows - image->rows / 2) + (kernel->width-1) / 2); |
| |
| offsetRows = (unsigned int) (sec * image->rows / 2); |
| |
| kernelWidth = (unsigned int) kernel->width; |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&tempImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(ChannelType),&channel); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(cl_mem),(void *)&imageKernelBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&kernelWidth); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&imageColumns); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&imageRows); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(CLPixelPacket)*(chunkSize+kernel->width),(void *) NULL); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&offsetRows); |
| clStatus|=clEnv->library->clSetKernelArg(blurRowKernel,i++,sizeof(unsigned int),(void *)&sec); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| /* launch the kernel */ |
| { |
| size_t gsize[2]; |
| size_t wsize[2]; |
| |
| gsize[0] = chunkSize*((imageColumns+chunkSize-1)/chunkSize); |
| gsize[1] = imageRows; |
| wsize[0] = chunkSize; |
| wsize[1] = 1; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, blurRowKernel, 2, NULL, gsize, wsize, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| } |
| |
| |
| { |
| chunkSize = 256; |
| |
| imageColumns = (unsigned int) image->columns; |
| if (sec == 0) |
| imageRows = (unsigned int) (image->rows / 2); |
| else |
| imageRows = (unsigned int) (image->rows - image->rows / 2); |
| |
| offsetRows = (unsigned int) (sec * image->rows / 2); |
| |
| kernelWidth = (unsigned int) kernel->width; |
| |
| fGain = (float) gain; |
| fThreshold = (float) threshold; |
| |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(cl_mem),(void *)&tempImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(cl_mem),(void *)&filteredImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(unsigned int),(void *)&imageColumns); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(unsigned int),(void *)&imageRows); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++, (chunkSize+kernelWidth-1)*sizeof(cl_float4),NULL); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++, kernelWidth*sizeof(float),NULL); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(ChannelType),&channel); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(cl_mem),(void *)&imageKernelBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(unsigned int),(void *)&kernelWidth); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(float),(void *)&fGain); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(float),(void *)&fThreshold); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(unsigned int),(void *)&offsetRows); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskBlurColumnKernel,i++,sizeof(unsigned int),(void *)&sec); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| /* launch the kernel */ |
| { |
| size_t gsize[2]; |
| size_t wsize[2]; |
| |
| gsize[0] = imageColumns; |
| gsize[1] = chunkSize*((imageRows+chunkSize-1)/chunkSize); |
| wsize[0] = 1; |
| wsize[1] = chunkSize; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, unsharpMaskBlurColumnKernel, 2, NULL, gsize, wsize, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| } |
| } |
| } |
| |
| /* get result */ |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, filteredImageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, filteredImageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), filteredPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(filteredImage_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| if (filteredImage_view != NULL) |
| filteredImage_view=DestroyCacheView(filteredImage_view); |
| |
| if (kernel != NULL) kernel=DestroyKernelInfo(kernel); |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (filteredImageBuffer!=NULL) clEnv->library->clReleaseMemObject(filteredImageBuffer); |
| if (tempImageBuffer!=NULL) clEnv->library->clReleaseMemObject(tempImageBuffer); |
| if (imageKernelBuffer!=NULL) clEnv->library->clReleaseMemObject(imageKernelBuffer); |
| if (blurRowKernel!=NULL) RelinquishOpenCLKernel(clEnv, blurRowKernel); |
| if (unsharpMaskBlurColumnKernel!=NULL) RelinquishOpenCLKernel(clEnv, unsharpMaskBlurColumnKernel); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| if (outputReady == MagickFalse) |
| { |
| if (filteredImage != NULL) |
| { |
| DestroyImage(filteredImage); |
| filteredImage = NULL; |
| } |
| } |
| return filteredImage; |
| } |
| |
| static Image *ComputeUnsharpMaskImageSingle(const Image *image, |
| const ChannelType channel,const double radius,const double sigma, |
| const double gain,const double threshold,int blurOnly, ExceptionInfo *exception) |
| { |
| CacheView |
| *filteredImage_view, |
| *image_view; |
| |
| char |
| geometry[MagickPathExtent]; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| justBlur, |
| clStatus; |
| |
| cl_kernel |
| unsharpMaskKernel; |
| |
| cl_mem |
| filteredImageBuffer, |
| imageBuffer, |
| imageKernelBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| const void |
| *inputPixels; |
| |
| float |
| fGain, |
| fThreshold, |
| *kernelBufferPtr; |
| |
| Image |
| *filteredImage; |
| |
| KernelInfo |
| *kernel; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| void |
| *filteredPixels, |
| *hostPtr; |
| |
| unsigned int |
| i, |
| imageColumns, |
| imageRows, |
| kernelWidth; |
| |
| clEnv = NULL; |
| filteredImage = NULL; |
| filteredImage_view = NULL; |
| kernel = NULL; |
| context = NULL; |
| imageBuffer = NULL; |
| filteredImageBuffer = NULL; |
| imageKernelBuffer = NULL; |
| unsharpMaskKernel = NULL; |
| queue = NULL; |
| outputReady = MagickFalse; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| /* Create and initialize OpenCL buffers. */ |
| { |
| image_view=AcquireVirtualCacheView(image,exception); |
| inputPixels=GetCacheViewVirtualPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (const void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* create output */ |
| { |
| filteredImage = CloneImage(image,image->columns,image->rows,MagickTrue,exception); |
| assert(filteredImage != NULL); |
| if (SetImageStorageClass(filteredImage,DirectClass,exception) != MagickTrue) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "CloneImage failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| filteredImage_view=AcquireAuthenticCacheView(filteredImage,exception); |
| filteredPixels=GetCacheViewAuthenticPixels(filteredImage_view,0,0,filteredImage->columns,filteredImage->rows,exception); |
| if (filteredPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, "UnableToReadPixelCache.","`%s'",filteredImage->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_WRITE_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = filteredPixels; |
| } |
| else |
| { |
| mem_flags = CL_MEM_WRITE_ONLY; |
| hostPtr = NULL; |
| } |
| |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| filteredImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| /* create the blur kernel */ |
| { |
| (void) FormatLocaleString(geometry,MagickPathExtent,"blur:%.20gx%.20g;blur:%.20gx%.20g+90",radius,sigma,radius,sigma); |
| kernel=AcquireKernelInfo(geometry,exception); |
| if (kernel == (KernelInfo *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireKernelInfo failed.","."); |
| goto cleanup; |
| } |
| |
| imageKernelBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_ONLY, kernel->width * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| |
| kernelBufferPtr = (float*)clEnv->library->clEnqueueMapBuffer(queue, imageKernelBuffer, CL_TRUE, CL_MAP_WRITE, 0, kernel->width * sizeof(float), 0, NULL, NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueMapBuffer failed.","."); |
| goto cleanup; |
| } |
| for (i = 0; i < kernel->width; i++) |
| { |
| kernelBufferPtr[i] = (float) kernel->values[i]; |
| } |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, imageKernelBuffer, kernelBufferPtr, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| { |
| /* get the opencl kernel */ |
| { |
| unsharpMaskKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "UnsharpMask"); |
| if (unsharpMaskKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| }; |
| } |
| |
| { |
| imageColumns = (unsigned int) image->columns; |
| imageRows = (unsigned int) image->rows; |
| kernelWidth = (unsigned int) kernel->width; |
| fGain = (float) gain; |
| fThreshold = (float) threshold; |
| justBlur = blurOnly; |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(unsharpMaskKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskKernel,i++,sizeof(cl_mem),(void *)&filteredImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskKernel,i++,sizeof(cl_mem),(void *)&imageKernelBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskKernel,i++,sizeof(unsigned int),(void *)&kernelWidth); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskKernel,i++,sizeof(unsigned int),(void *)&imageColumns); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskKernel,i++,sizeof(unsigned int),(void *)&imageRows); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskKernel,i++,sizeof(cl_float4)*(8 * (32 + kernel->width)),(void *) NULL); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskKernel,i++,sizeof(float),(void *)&fGain); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskKernel,i++,sizeof(float),(void *)&fThreshold); |
| clStatus|=clEnv->library->clSetKernelArg(unsharpMaskKernel,i++,sizeof(cl_uint),(void *)&justBlur); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| /* launch the kernel */ |
| { |
| size_t gsize[2]; |
| size_t wsize[2]; |
| |
| gsize[0] = ((image->columns + 7) / 8) * 8; |
| gsize[1] = ((image->rows + 31) / 32) * 32; |
| wsize[0] = 8; |
| wsize[1] = 32; |
| |
| clStatus = clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, unsharpMaskKernel, 2, NULL, gsize, wsize, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| } |
| } |
| |
| /* get result */ |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, filteredImageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, filteredImageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), filteredPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(filteredImage_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| if (filteredImage_view != NULL) |
| filteredImage_view=DestroyCacheView(filteredImage_view); |
| |
| if (kernel != NULL) kernel=DestroyKernelInfo(kernel); |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (filteredImageBuffer!=NULL) clEnv->library->clReleaseMemObject(filteredImageBuffer); |
| if (imageKernelBuffer!=NULL) clEnv->library->clReleaseMemObject(imageKernelBuffer); |
| if (unsharpMaskKernel!=NULL) RelinquishOpenCLKernel(clEnv, unsharpMaskKernel); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| if (outputReady == MagickFalse) |
| { |
| if (filteredImage != NULL) |
| { |
| DestroyImage(filteredImage); |
| filteredImage = NULL; |
| } |
| } |
| return(filteredImage); |
| } |
| |
| |
| MagickExport Image *AccelerateUnsharpMaskImage(const Image *image, |
| const ChannelType channel,const double radius,const double sigma, |
| const double gain,const double threshold,ExceptionInfo *exception) |
| { |
| Image |
| *filteredImage; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, channel) == MagickFalse)) |
| return NULL; |
| |
| if (radius < 12.1) |
| filteredImage = ComputeUnsharpMaskImageSingle(image,channel,radius,sigma,gain,threshold, 0, exception); |
| else if (splitImage(image) && (image->rows / 2 > radius)) |
| filteredImage = ComputeUnsharpMaskImageSection(image,channel,radius,sigma,gain,threshold,exception); |
| else |
| filteredImage = ComputeUnsharpMaskImage(image,channel,radius,sigma,gain,threshold,exception); |
| return(filteredImage); |
| } |
| |
| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % A c c e l e r a t e R e s i z e I m a g e % |
| % % |
| % % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % |
| % AccelerateResizeImage() is an OpenCL implementation of ResizeImage() |
| % |
| % AccelerateResizeImage() scales an image to the desired dimensions, using the given |
| % filter (see AcquireFilterInfo()). |
| % |
| % If an undefined filter is given the filter defaults to Mitchell for a |
| % colormapped image, a image with a matte channel, or if the image is |
| % enlarged. Otherwise the filter defaults to a Lanczos. |
| % |
| % AccelerateResizeImage() was inspired by Paul Heckbert's "zoom" program. |
| % |
| % The format of the AccelerateResizeImage method is: |
| % |
| % Image *ResizeImage(Image *image,const size_t columns, |
| % const size_t rows, const ResizeFilter* filter, |
| % ExceptionInfo *exception) |
| % |
| % A description of each parameter follows: |
| % |
| % o image: the image. |
| % |
| % o columns: the number of columns in the scaled image. |
| % |
| % o rows: the number of rows in the scaled image. |
| % |
| % o filter: Image filter to use. |
| % |
| % o exception: return any errors or warnings in this structure. |
| % |
| */ |
| |
| static MagickBooleanType resizeHorizontalFilter(cl_mem image, |
| const unsigned int imageColumns,const unsigned int imageRows, |
| const unsigned int matte,cl_mem resizedImage, |
| const unsigned int resizedColumns,const unsigned int resizedRows, |
| const ResizeFilter *resizeFilter,cl_mem resizeFilterCubicCoefficients, |
| const float xFactor,MagickCLEnv clEnv,cl_command_queue queue, |
| ExceptionInfo *exception) |
| { |
| cl_kernel |
| horizontalKernel; |
| |
| cl_int clStatus; |
| |
| const unsigned int |
| workgroupSize = 256; |
| |
| float |
| resizeFilterScale, |
| resizeFilterSupport, |
| resizeFilterWindowSupport, |
| resizeFilterBlur, |
| scale, |
| support; |
| |
| int |
| cacheRangeStart, |
| cacheRangeEnd, |
| numCachedPixels, |
| resizeFilterType, |
| resizeWindowType; |
| |
| MagickBooleanType |
| status = MagickFalse; |
| |
| size_t |
| deviceLocalMemorySize, |
| gammaAccumulatorLocalMemorySize, |
| global_work_size[2], |
| imageCacheLocalMemorySize, |
| pixelAccumulatorLocalMemorySize, |
| local_work_size[2], |
| totalLocalMemorySize, |
| weightAccumulatorLocalMemorySize; |
| |
| unsigned int |
| chunkSize, |
| i, |
| pixelPerWorkgroup; |
| |
| horizontalKernel = NULL; |
| status = MagickFalse; |
| |
| /* |
| Apply filter to resize vertically from image to resize image. |
| */ |
| scale=MAGICK_MAX(1.0/xFactor+MagickEpsilon,1.0); |
| support=scale*GetResizeFilterSupport(resizeFilter); |
| if (support < 0.5) |
| { |
| /* |
| Support too small even for nearest neighbour: Reduce to point |
| sampling. |
| */ |
| support=(MagickRealType) 0.5; |
| scale=1.0; |
| } |
| scale=PerceptibleReciprocal(scale); |
| |
| if (resizedColumns < workgroupSize) |
| { |
| chunkSize = 32; |
| pixelPerWorkgroup = 32; |
| } |
| else |
| { |
| chunkSize = workgroupSize; |
| pixelPerWorkgroup = workgroupSize; |
| } |
| |
| /* get the local memory size supported by the device */ |
| deviceLocalMemorySize = GetOpenCLDeviceLocalMemorySize(clEnv); |
| |
| DisableMSCWarning(4127) |
| while(1) |
| RestoreMSCWarning |
| { |
| /* calculate the local memory size needed per workgroup */ |
| cacheRangeStart = (int) (((0 + 0.5)/xFactor+MagickEpsilon)-support+0.5); |
| cacheRangeEnd = (int) ((((pixelPerWorkgroup-1) + 0.5)/xFactor+MagickEpsilon)+support+0.5); |
| numCachedPixels = cacheRangeEnd - cacheRangeStart + 1; |
| imageCacheLocalMemorySize = numCachedPixels * sizeof(CLPixelPacket); |
| totalLocalMemorySize = imageCacheLocalMemorySize; |
| |
| /* local size for the pixel accumulator */ |
| pixelAccumulatorLocalMemorySize = chunkSize * sizeof(cl_float4); |
| totalLocalMemorySize+=pixelAccumulatorLocalMemorySize; |
| |
| /* local memory size for the weight accumulator */ |
| weightAccumulatorLocalMemorySize = chunkSize * sizeof(float); |
| totalLocalMemorySize+=weightAccumulatorLocalMemorySize; |
| |
| /* local memory size for the gamma accumulator */ |
| if (matte == 0) |
| gammaAccumulatorLocalMemorySize = sizeof(float); |
| else |
| gammaAccumulatorLocalMemorySize = chunkSize * sizeof(float); |
| totalLocalMemorySize+=gammaAccumulatorLocalMemorySize; |
| |
| if (totalLocalMemorySize <= deviceLocalMemorySize) |
| break; |
| else |
| { |
| pixelPerWorkgroup = pixelPerWorkgroup/2; |
| chunkSize = chunkSize/2; |
| if (pixelPerWorkgroup == 0 |
| || chunkSize == 0) |
| { |
| /* quit, fallback to CPU */ |
| goto cleanup; |
| } |
| } |
| } |
| |
| resizeFilterType = (int)GetResizeFilterWeightingType(resizeFilter); |
| resizeWindowType = (int)GetResizeFilterWindowWeightingType(resizeFilter); |
| |
| |
| if (resizeFilterType == SincFastWeightingFunction |
| && resizeWindowType == SincFastWeightingFunction) |
| { |
| horizontalKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "ResizeHorizontalFilterSinc"); |
| } |
| else |
| { |
| horizontalKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "ResizeHorizontalFilter"); |
| } |
| if (horizontalKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| i = 0; |
| clStatus = clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(cl_mem), (void*)&image); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(unsigned int), (void*)&imageColumns); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(unsigned int), (void*)&imageRows); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(unsigned int), (void*)&matte); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(float), (void*)&xFactor); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(cl_mem), (void*)&resizedImage); |
| |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(unsigned int), (void*)&resizedColumns); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(unsigned int), (void*)&resizedRows); |
| |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(int), (void*)&resizeFilterType); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(int), (void*)&resizeWindowType); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(cl_mem), (void*)&resizeFilterCubicCoefficients); |
| |
| resizeFilterScale = (float) GetResizeFilterScale(resizeFilter); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(float), (void*)&resizeFilterScale); |
| |
| resizeFilterSupport = (float) GetResizeFilterSupport(resizeFilter); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(float), (void*)&resizeFilterSupport); |
| |
| resizeFilterWindowSupport = (float) GetResizeFilterWindowSupport(resizeFilter); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(float), (void*)&resizeFilterWindowSupport); |
| |
| resizeFilterBlur = (float) GetResizeFilterBlur(resizeFilter); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(float), (void*)&resizeFilterBlur); |
| |
| |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, imageCacheLocalMemorySize, NULL); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(int), &numCachedPixels); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(unsigned int), &pixelPerWorkgroup); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, sizeof(unsigned int), &chunkSize); |
| |
| |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, pixelAccumulatorLocalMemorySize, NULL); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, weightAccumulatorLocalMemorySize, NULL); |
| clStatus |= clEnv->library->clSetKernelArg(horizontalKernel, i++, gammaAccumulatorLocalMemorySize, NULL); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| global_work_size[0] = (resizedColumns+pixelPerWorkgroup-1)/pixelPerWorkgroup*workgroupSize; |
| global_work_size[1] = resizedRows; |
| |
| local_work_size[0] = workgroupSize; |
| local_work_size[1] = 1; |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, horizontalKernel, 2, NULL, global_work_size, local_work_size, 0, NULL, NULL); |
| (void) local_work_size; |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| status = MagickTrue; |
| |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| if (horizontalKernel != NULL) RelinquishOpenCLKernel(clEnv, horizontalKernel); |
| |
| return(status); |
| } |
| |
| static MagickBooleanType resizeVerticalFilter(cl_mem image, |
| const unsigned int imageColumns,const unsigned int imageRows, |
| const unsigned int matte,cl_mem resizedImage, |
| const unsigned int resizedColumns,const unsigned int resizedRows, |
| const ResizeFilter *resizeFilter,cl_mem resizeFilterCubicCoefficients, |
| const float yFactor,MagickCLEnv clEnv,cl_command_queue queue, |
| ExceptionInfo *exception) |
| { |
| cl_kernel |
| verticalKernel; |
| |
| cl_int clStatus; |
| |
| const unsigned int |
| workgroupSize = 256; |
| |
| float |
| resizeFilterScale, |
| resizeFilterSupport, |
| resizeFilterWindowSupport, |
| resizeFilterBlur, |
| scale, |
| support; |
| |
| int |
| cacheRangeStart, |
| cacheRangeEnd, |
| numCachedPixels, |
| resizeFilterType, |
| resizeWindowType; |
| |
| MagickBooleanType |
| status = MagickFalse; |
| |
| size_t |
| deviceLocalMemorySize, |
| gammaAccumulatorLocalMemorySize, |
| global_work_size[2], |
| imageCacheLocalMemorySize, |
| pixelAccumulatorLocalMemorySize, |
| local_work_size[2], |
| totalLocalMemorySize, |
| weightAccumulatorLocalMemorySize; |
| |
| unsigned int |
| chunkSize, |
| i, |
| pixelPerWorkgroup; |
| |
| verticalKernel = NULL; |
| status = MagickFalse; |
| |
| /* |
| Apply filter to resize vertically from image to resize image. |
| */ |
| scale=MAGICK_MAX(1.0/yFactor+MagickEpsilon,1.0); |
| support=scale*GetResizeFilterSupport(resizeFilter); |
| if (support < 0.5) |
| { |
| /* |
| Support too small even for nearest neighbour: Reduce to point |
| sampling. |
| */ |
| support=(MagickRealType) 0.5; |
| scale=1.0; |
| } |
| scale=PerceptibleReciprocal(scale); |
| |
| if (resizedRows < workgroupSize) |
| { |
| chunkSize = 32; |
| pixelPerWorkgroup = 32; |
| } |
| else |
| { |
| chunkSize = workgroupSize; |
| pixelPerWorkgroup = workgroupSize; |
| } |
| |
| /* get the local memory size supported by the device */ |
| deviceLocalMemorySize = GetOpenCLDeviceLocalMemorySize(clEnv); |
| |
| DisableMSCWarning(4127) |
| while(1) |
| RestoreMSCWarning |
| { |
| /* calculate the local memory size needed per workgroup */ |
| cacheRangeStart = (int) (((0 + 0.5)/yFactor+MagickEpsilon)-support+0.5); |
| cacheRangeEnd = (int) ((((pixelPerWorkgroup-1) + 0.5)/yFactor+MagickEpsilon)+support+0.5); |
| numCachedPixels = cacheRangeEnd - cacheRangeStart + 1; |
| imageCacheLocalMemorySize = numCachedPixels * sizeof(CLPixelPacket); |
| totalLocalMemorySize = imageCacheLocalMemorySize; |
| |
| /* local size for the pixel accumulator */ |
| pixelAccumulatorLocalMemorySize = chunkSize * sizeof(cl_float4); |
| totalLocalMemorySize+=pixelAccumulatorLocalMemorySize; |
| |
| /* local memory size for the weight accumulator */ |
| weightAccumulatorLocalMemorySize = chunkSize * sizeof(float); |
| totalLocalMemorySize+=weightAccumulatorLocalMemorySize; |
| |
| /* local memory size for the gamma accumulator */ |
| if (matte == 0) |
| gammaAccumulatorLocalMemorySize = sizeof(float); |
| else |
| gammaAccumulatorLocalMemorySize = chunkSize * sizeof(float); |
| totalLocalMemorySize+=gammaAccumulatorLocalMemorySize; |
| |
| if (totalLocalMemorySize <= deviceLocalMemorySize) |
| break; |
| else |
| { |
| pixelPerWorkgroup = pixelPerWorkgroup/2; |
| chunkSize = chunkSize/2; |
| if (pixelPerWorkgroup == 0 |
| || chunkSize == 0) |
| { |
| /* quit, fallback to CPU */ |
| goto cleanup; |
| } |
| } |
| } |
| |
| resizeFilterType = (int)GetResizeFilterWeightingType(resizeFilter); |
| resizeWindowType = (int)GetResizeFilterWindowWeightingType(resizeFilter); |
| |
| if (resizeFilterType == SincFastWeightingFunction |
| && resizeWindowType == SincFastWeightingFunction) |
| verticalKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "ResizeVerticalFilterSinc"); |
| else |
| verticalKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "ResizeVerticalFilter"); |
| |
| if (verticalKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| i = 0; |
| clStatus = clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(cl_mem), (void*)&image); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(unsigned int), (void*)&imageColumns); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(unsigned int), (void*)&imageRows); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(unsigned int), (void*)&matte); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(float), (void*)&yFactor); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(cl_mem), (void*)&resizedImage); |
| |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(unsigned int), (void*)&resizedColumns); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(unsigned int), (void*)&resizedRows); |
| |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(int), (void*)&resizeFilterType); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(int), (void*)&resizeWindowType); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(cl_mem), (void*)&resizeFilterCubicCoefficients); |
| |
| resizeFilterScale = (float) GetResizeFilterScale(resizeFilter); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(float), (void*)&resizeFilterScale); |
| |
| resizeFilterSupport = (float) GetResizeFilterSupport(resizeFilter); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(float), (void*)&resizeFilterSupport); |
| |
| resizeFilterWindowSupport = (float) GetResizeFilterWindowSupport(resizeFilter); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(float), (void*)&resizeFilterWindowSupport); |
| |
| resizeFilterBlur = (float) GetResizeFilterBlur(resizeFilter); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(float), (void*)&resizeFilterBlur); |
| |
| |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, imageCacheLocalMemorySize, NULL); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(int), &numCachedPixels); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(unsigned int), &pixelPerWorkgroup); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, sizeof(unsigned int), &chunkSize); |
| |
| |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, pixelAccumulatorLocalMemorySize, NULL); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, weightAccumulatorLocalMemorySize, NULL); |
| clStatus |= clEnv->library->clSetKernelArg(verticalKernel, i++, gammaAccumulatorLocalMemorySize, NULL); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| global_work_size[0] = resizedColumns; |
| global_work_size[1] = (resizedRows+pixelPerWorkgroup-1)/pixelPerWorkgroup*workgroupSize; |
| |
| local_work_size[0] = 1; |
| local_work_size[1] = workgroupSize; |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, verticalKernel, 2, NULL, global_work_size, local_work_size, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| status = MagickTrue; |
| |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| if (verticalKernel != NULL) RelinquishOpenCLKernel(clEnv, verticalKernel); |
| |
| return(status); |
| } |
| |
| static Image *ComputeResizeImage(const Image* image, |
| const size_t resizedColumns,const size_t resizedRows, |
| const ResizeFilter *resizeFilter,ExceptionInfo *exception) |
| { |
| CacheView |
| *filteredImage_view, |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_int |
| clStatus; |
| |
| cl_context |
| context; |
| |
| cl_mem |
| cubicCoefficientsBuffer, |
| filteredImageBuffer, |
| imageBuffer, |
| tempImageBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| const double |
| *resizeFilterCoefficient; |
| |
| const void |
| *inputPixels; |
| |
| float |
| *mappedCoefficientBuffer, |
| xFactor, |
| yFactor; |
| |
| MagickBooleanType |
| outputReady, |
| status; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| Image |
| *filteredImage; |
| |
| unsigned int |
| i, |
| matte; |
| |
| void |
| *filteredPixels, |
| *hostPtr; |
| |
| outputReady = MagickFalse; |
| filteredImage = NULL; |
| filteredImage_view = NULL; |
| clEnv = NULL; |
| context = NULL; |
| imageBuffer = NULL; |
| tempImageBuffer = NULL; |
| filteredImageBuffer = NULL; |
| cubicCoefficientsBuffer = NULL; |
| queue = NULL; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| |
| /* Create and initialize OpenCL buffers. */ |
| image_view=AcquireVirtualCacheView(image,exception); |
| inputPixels=GetCacheViewVirtualPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (const void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| cubicCoefficientsBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_ONLY, 7 * sizeof(float), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| mappedCoefficientBuffer = (float*)clEnv->library->clEnqueueMapBuffer(queue, cubicCoefficientsBuffer, CL_TRUE, CL_MAP_WRITE, 0, 7 * sizeof(float) |
| , 0, NULL, NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueMapBuffer failed.","."); |
| goto cleanup; |
| } |
| resizeFilterCoefficient = GetResizeFilterCoefficient(resizeFilter); |
| for (i = 0; i < 7; i++) |
| { |
| mappedCoefficientBuffer[i] = (float) resizeFilterCoefficient[i]; |
| } |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, cubicCoefficientsBuffer, mappedCoefficientBuffer, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| filteredImage = CloneImage(image,resizedColumns,resizedRows,MagickTrue,exception); |
| if (filteredImage == NULL) |
| goto cleanup; |
| |
| if (SetImageStorageClass(filteredImage,DirectClass,exception) != MagickTrue) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "CloneImage failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| filteredImage_view=AcquireAuthenticCacheView(filteredImage,exception); |
| filteredPixels=GetCacheViewAuthenticPixels(filteredImage_view,0,0,filteredImage->columns,filteredImage->rows,exception); |
| if (filteredPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, "UnableToReadPixelCache.","`%s'",filteredImage->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_WRITE_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = filteredPixels; |
| } |
| else |
| { |
| mem_flags = CL_MEM_WRITE_ONLY; |
| hostPtr = NULL; |
| } |
| |
| /* create a CL buffer from image pixel buffer */ |
| length = filteredImage->columns * filteredImage->rows; |
| filteredImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| xFactor=(float) resizedColumns/(float) image->columns; |
| yFactor=(float) resizedRows/(float) image->rows; |
| matte=(image->alpha_trait != UndefinedPixelTrait)?1:0; |
| if (xFactor > yFactor) |
| { |
| |
| length = resizedColumns*image->rows; |
| tempImageBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_WRITE, length*sizeof(CLPixelPacket), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| status = resizeHorizontalFilter(imageBuffer, (unsigned int) image->columns, (unsigned int) image->rows, matte |
| , tempImageBuffer, (unsigned int) resizedColumns, (unsigned int) image->rows |
| , resizeFilter, cubicCoefficientsBuffer |
| , xFactor, clEnv, queue, exception); |
| if (status != MagickTrue) |
| goto cleanup; |
| |
| status = resizeVerticalFilter(tempImageBuffer, (unsigned int) resizedColumns, (unsigned int) image->rows, matte |
| , filteredImageBuffer, (unsigned int) resizedColumns, (unsigned int) resizedRows |
| , resizeFilter, cubicCoefficientsBuffer |
| , yFactor, clEnv, queue, exception); |
| if (status != MagickTrue) |
| goto cleanup; |
| } |
| else |
| { |
| length = image->columns*resizedRows; |
| tempImageBuffer = clEnv->library->clCreateBuffer(context, CL_MEM_READ_WRITE, length*sizeof(CLPixelPacket), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| status = resizeVerticalFilter(imageBuffer, (unsigned int) image->columns, (unsigned int) image->rows, matte |
| , tempImageBuffer, (unsigned int) image->columns, (unsigned int) resizedRows |
| , resizeFilter, cubicCoefficientsBuffer |
| , yFactor, clEnv, queue, exception); |
| if (status != MagickTrue) |
| goto cleanup; |
| |
| status = resizeHorizontalFilter(tempImageBuffer, (unsigned int) image->columns, (unsigned int) resizedRows, matte |
| , filteredImageBuffer, (unsigned int) resizedColumns, (unsigned int) resizedRows |
| , resizeFilter, cubicCoefficientsBuffer |
| , xFactor, clEnv, queue, exception); |
| if (status != MagickTrue) |
| goto cleanup; |
| } |
| length = resizedColumns*resizedRows; |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| clEnv->library->clEnqueueMapBuffer(queue, filteredImageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, filteredImageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), filteredPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| outputReady=SyncCacheViewAuthenticPixels(filteredImage_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| if (filteredImage_view != NULL) |
| filteredImage_view=DestroyCacheView(filteredImage_view); |
| |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (tempImageBuffer!=NULL) clEnv->library->clReleaseMemObject(tempImageBuffer); |
| if (filteredImageBuffer!=NULL) clEnv->library->clReleaseMemObject(filteredImageBuffer); |
| if (cubicCoefficientsBuffer!=NULL) clEnv->library->clReleaseMemObject(cubicCoefficientsBuffer); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| if (outputReady == MagickFalse && filteredImage != NULL) |
| filteredImage=DestroyImage(filteredImage); |
| return(filteredImage); |
| } |
| |
| const ResizeWeightingFunctionType supportedResizeWeighting[] = |
| { |
| BoxWeightingFunction, |
| TriangleWeightingFunction, |
| HannWeightingFunction, |
| HammingWeightingFunction, |
| BlackmanWeightingFunction, |
| CubicBCWeightingFunction, |
| SincWeightingFunction, |
| SincFastWeightingFunction, |
| LastWeightingFunction |
| }; |
| |
| static MagickBooleanType gpuSupportedResizeWeighting( |
| ResizeWeightingFunctionType f) |
| { |
| unsigned int |
| i; |
| |
| for (i = 0; ;i++) |
| { |
| if (supportedResizeWeighting[i] == LastWeightingFunction) |
| break; |
| if (supportedResizeWeighting[i] == f) |
| return(MagickTrue); |
| } |
| return(MagickFalse); |
| } |
| |
| MagickExport Image *AccelerateResizeImage(const Image *image, |
| const size_t resizedColumns,const size_t resizedRows, |
| const ResizeFilter *resizeFilter,ExceptionInfo *exception) |
| { |
| Image |
| *filteredImage; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, AllChannels) == MagickFalse)) |
| return NULL; |
| |
| if (gpuSupportedResizeWeighting(GetResizeFilterWeightingType(resizeFilter)) == MagickFalse || |
| gpuSupportedResizeWeighting(GetResizeFilterWindowWeightingType(resizeFilter)) == MagickFalse) |
| return NULL; |
| |
| filteredImage=ComputeResizeImage(image,resizedColumns,resizedRows,resizeFilter,exception); |
| return(filteredImage); |
| } |
| |
| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % C o n t r a s t I m a g e w i t h O p e n C L % |
| % % |
| % % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % |
| % ContrastImage() enhances the intensity differences between the lighter and |
| % darker elements of the image. Set sharpen to a MagickTrue to increase the |
| % image contrast otherwise the contrast is reduced. |
| % |
| % The format of the ContrastImage method is: |
| % |
| % MagickBooleanType ContrastImage(Image *image, |
| % const MagickBooleanType sharpen) |
| % |
| % A description of each parameter follows: |
| % |
| % o image: the image. |
| % |
| % o sharpen: Increase or decrease image contrast. |
| % |
| */ |
| |
| static MagickBooleanType ComputeContrastImage(Image *image, |
| const MagickBooleanType sharpen,ExceptionInfo *exception) |
| { |
| CacheView |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| clStatus; |
| |
| cl_kernel |
| filterKernel; |
| |
| cl_mem |
| imageBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| size_t |
| global_work_size[2]; |
| |
| unsigned int |
| i, |
| uSharpen; |
| |
| void |
| *inputPixels; |
| |
| outputReady = MagickFalse; |
| clEnv = NULL; |
| inputPixels = NULL; |
| context = NULL; |
| imageBuffer = NULL; |
| filterKernel = NULL; |
| queue = NULL; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| |
| /* Create and initialize OpenCL buffers. */ |
| image_view=AcquireAuthenticCacheView(image,exception); |
| inputPixels=GetCacheViewAuthenticPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| filterKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "Contrast"); |
| if (filterKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(filterKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| |
| uSharpen = (sharpen == MagickFalse)?0:1; |
| clStatus|=clEnv->library->clSetKernelArg(filterKernel,i++,sizeof(cl_uint),&uSharpen); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| global_work_size[0] = image->columns; |
| global_work_size[1] = image->rows; |
| /* launch the kernel */ |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, filterKernel, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, imageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, imageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), inputPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| outputReady=SyncCacheViewAuthenticPixels(image_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (filterKernel!=NULL) RelinquishOpenCLKernel(clEnv, filterKernel); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| return(outputReady); |
| } |
| |
| MagickExport MagickBooleanType AccelerateContrastImage(Image *image, |
| const MagickBooleanType sharpen,ExceptionInfo *exception) |
| { |
| MagickBooleanType |
| status; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, AllChannels) == MagickFalse)) |
| return(MagickFalse); |
| |
| status = ComputeContrastImage(image,sharpen,exception); |
| return(status); |
| } |
| |
| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % M o d u l a t e I m a g e w i t h O p e n C L % |
| % % |
| % % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % |
| % ModulateImage() lets you control the brightness, saturation, and hue |
| % of an image. Modulate represents the brightness, saturation, and hue |
| % as one parameter (e.g. 90,150,100). If the image colorspace is HSL, the |
| % modulation is lightness, saturation, and hue. For HWB, use blackness, |
| % whiteness, and hue. And for HCL, use chrome, luma, and hue. |
| % |
| % The format of the ModulateImage method is: |
| % |
| % MagickBooleanType ModulateImage(Image *image,const char *modulate) |
| % |
| % A description of each parameter follows: |
| % |
| % o image: the image. |
| % |
| % o percent_*: Define the percent change in brightness, saturation, and |
| % hue. |
| % |
| */ |
| |
| MagickBooleanType ComputeModulateImage(Image *image, |
| double percent_brightness,double percent_hue,double percent_saturation, |
| ColorspaceType colorspace,ExceptionInfo *exception) |
| { |
| CacheView |
| *image_view; |
| |
| cl_float |
| bright, |
| hue, |
| saturation; |
| |
| cl_context |
| context; |
| |
| cl_command_queue |
| queue; |
| |
| cl_int |
| color, |
| clStatus; |
| |
| cl_kernel |
| modulateKernel; |
| |
| cl_mem |
| imageBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| register ssize_t |
| i; |
| |
| void |
| *inputPixels; |
| |
| inputPixels = NULL; |
| imageBuffer = NULL; |
| modulateKernel = NULL; |
| |
| assert(image != (Image *) NULL); |
| assert(image->signature == MagickCoreSignature); |
| if (image->debug != MagickFalse) |
| (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename); |
| |
| /* |
| * initialize opencl env |
| */ |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| outputReady = MagickFalse; |
| |
| /* Create and initialize OpenCL buffers. |
| inputPixels = AcquirePixelCachePixels(image, &length, exception); |
| assume this will get a writable image |
| */ |
| image_view=AcquireAuthenticCacheView(image,exception); |
| inputPixels=GetCacheViewAuthenticPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over |
| */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| modulateKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "Modulate"); |
| if (modulateKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| bright=percent_brightness; |
| hue=percent_hue; |
| saturation=percent_saturation; |
| color=colorspace; |
| |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(modulateKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(modulateKernel,i++,sizeof(cl_float),&bright); |
| clStatus|=clEnv->library->clSetKernelArg(modulateKernel,i++,sizeof(cl_float),&hue); |
| clStatus|=clEnv->library->clSetKernelArg(modulateKernel,i++,sizeof(cl_float),&saturation); |
| clStatus|=clEnv->library->clSetKernelArg(modulateKernel,i++,sizeof(cl_float),&color); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| printf("no kernel\n"); |
| goto cleanup; |
| } |
| |
| { |
| size_t global_work_size[2]; |
| global_work_size[0] = image->columns; |
| global_work_size[1] = image->rows; |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, modulateKernel, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| } |
| |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, imageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, imageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), inputPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(image_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| |
| if (imageBuffer!=NULL) |
| clEnv->library->clReleaseMemObject(imageBuffer); |
| if (modulateKernel!=NULL) |
| RelinquishOpenCLKernel(clEnv, modulateKernel); |
| if (queue != NULL) |
| RelinquishOpenCLCommandQueue(clEnv, queue); |
| |
| return outputReady; |
| |
| } |
| |
| MagickExport MagickBooleanType AccelerateModulateImage(Image *image, |
| double percent_brightness,double percent_hue,double percent_saturation, |
| ColorspaceType colorspace,ExceptionInfo *exception) |
| { |
| MagickBooleanType |
| status; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, AllChannels) == MagickFalse)) |
| return(MagickFalse); |
| |
| if ((colorspace != HSLColorspace && colorspace != UndefinedColorspace)) |
| return(MagickFalse); |
| |
| status = ComputeModulateImage(image,percent_brightness, percent_hue, percent_saturation, colorspace, exception); |
| return(status); |
| } |
| |
| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % G r a y s c a l e I m a g e w i t h O p e n C L % |
| % % |
| % % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % |
| % GrayscaleImage() converts the colors in the reference image to gray. |
| % |
| % The format of the GrayscaleImageChannel method is: |
| % |
| % MagickBooleanType GrayscaleImage(Image *image, |
| % const PixelIntensityMethod method) |
| % |
| % A description of each parameter follows: |
| % |
| % o image: the image. |
| % |
| % o channel: the channel. |
| % |
| */ |
| |
| MagickBooleanType ComputeGrayscaleImage(Image *image, |
| const PixelIntensityMethod method,ExceptionInfo *exception) |
| { |
| CacheView |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| clStatus, |
| intensityMethod; |
| |
| cl_int |
| colorspace; |
| |
| cl_kernel |
| grayscaleKernel; |
| |
| cl_mem |
| imageBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| register ssize_t |
| i; |
| |
| void |
| *inputPixels; |
| |
| inputPixels = NULL; |
| imageBuffer = NULL; |
| grayscaleKernel = NULL; |
| |
| assert(image != (Image *) NULL); |
| assert(image->signature == MagickCoreSignature); |
| if (image->debug != MagickFalse) |
| (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename); |
| |
| /* |
| * initialize opencl env |
| */ |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| outputReady = MagickFalse; |
| |
| /* Create and initialize OpenCL buffers. |
| inputPixels = AcquirePixelCachePixels(image, &length, exception); |
| assume this will get a writable image |
| */ |
| image_view=AcquireAuthenticCacheView(image,exception); |
| inputPixels=GetCacheViewAuthenticPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over |
| */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| intensityMethod = method; |
| colorspace = image->colorspace; |
| |
| grayscaleKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "Grayscale"); |
| if (grayscaleKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(grayscaleKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(grayscaleKernel,i++,sizeof(cl_int),&intensityMethod); |
| clStatus|=clEnv->library->clSetKernelArg(grayscaleKernel,i++,sizeof(cl_int),&colorspace); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| printf("no kernel\n"); |
| goto cleanup; |
| } |
| |
| { |
| size_t global_work_size[2]; |
| global_work_size[0] = image->columns; |
| global_work_size[1] = image->rows; |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, grayscaleKernel, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| } |
| |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, imageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, imageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), inputPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(image_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| |
| if (imageBuffer!=NULL) |
| clEnv->library->clReleaseMemObject(imageBuffer); |
| if (grayscaleKernel!=NULL) |
| RelinquishOpenCLKernel(clEnv, grayscaleKernel); |
| if (queue != NULL) |
| RelinquishOpenCLCommandQueue(clEnv, queue); |
| |
| return( outputReady); |
| } |
| |
| MagickExport MagickBooleanType AccelerateGrayscaleImage(Image* image, |
| const PixelIntensityMethod method,ExceptionInfo *exception) |
| { |
| MagickBooleanType |
| status; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, AllChannels) == MagickFalse)) |
| return(MagickFalse); |
| |
| if (method == Rec601LuminancePixelIntensityMethod || method == Rec709LuminancePixelIntensityMethod) |
| return(MagickFalse); |
| |
| if (image->colorspace != sRGBColorspace) |
| return(MagickFalse); |
| |
| status=ComputeGrayscaleImage(image,method,exception); |
| return(status); |
| } |
| |
| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % E q u a l i z e I m a g e w i t h O p e n C L % |
| % % |
| % % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % |
| % EqualizeImage() applies a histogram equalization to the image. |
| % |
| % The format of the EqualizeImage method is: |
| % |
| % MagickBooleanType EqualizeImage(Image *image) |
| % MagickBooleanType EqualizeImageChannel(Image *image, |
| % const ChannelType channel) |
| % |
| % A description of each parameter follows: |
| % |
| % o image: the image. |
| % |
| % o channel: the channel. |
| % |
| */ |
| |
| static MagickBooleanType LaunchHistogramKernel(MagickCLEnv clEnv, |
| cl_command_queue queue,cl_mem imageBuffer,cl_mem histogramBuffer, |
| Image *image,const ChannelType channel,ExceptionInfo *exception) |
| { |
| MagickBooleanType |
| outputReady; |
| |
| cl_int |
| clStatus, |
| colorspace, |
| method; |
| |
| cl_kernel |
| histogramKernel; |
| |
| register ssize_t |
| i; |
| |
| size_t |
| global_work_size[2]; |
| |
| histogramKernel = NULL; |
| |
| outputReady = MagickFalse; |
| method = image->intensity; |
| colorspace = image->colorspace; |
| |
| /* get the OpenCL kernel */ |
| histogramKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "Histogram"); |
| if (histogramKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(histogramKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(histogramKernel,i++,sizeof(ChannelType),&channel); |
| clStatus|=clEnv->library->clSetKernelArg(histogramKernel,i++,sizeof(cl_int),&method); |
| clStatus|=clEnv->library->clSetKernelArg(histogramKernel,i++,sizeof(cl_int),&colorspace); |
| clStatus|=clEnv->library->clSetKernelArg(histogramKernel,i++,sizeof(cl_mem),(void *)&histogramBuffer); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* launch the kernel */ |
| global_work_size[0] = image->columns; |
| global_work_size[1] = image->rows; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, histogramKernel, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| |
| outputReady = MagickTrue; |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| if (histogramKernel!=NULL) |
| RelinquishOpenCLKernel(clEnv, histogramKernel); |
| |
| return(outputReady); |
| } |
| |
| MagickExport MagickBooleanType ComputeEqualizeImage(Image *image, |
| const ChannelType channel,ExceptionInfo *exception) |
| { |
| #define EqualizeImageTag "Equalize/Image" |
| |
| CacheView |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| clStatus; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| cl_mem |
| equalizeMapBuffer, |
| histogramBuffer, |
| imageBuffer; |
| |
| cl_kernel |
| equalizeKernel, |
| histogramKernel; |
| |
| cl_uint4 |
| *histogram; |
| |
| FloatPixelPacket |
| white, |
| black, |
| intensity, |
| *map; |
| |
| MagickBooleanType |
| outputReady, |
| status; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| PixelPacket |
| *equalize_map; |
| |
| register ssize_t |
| i; |
| |
| size_t |
| global_work_size[2]; |
| |
| void |
| *hostPtr, |
| *inputPixels; |
| |
| map=NULL; |
| histogram=NULL; |
| equalize_map=NULL; |
| inputPixels = NULL; |
| imageBuffer = NULL; |
| histogramBuffer = NULL; |
| equalizeMapBuffer = NULL; |
| histogramKernel = NULL; |
| equalizeKernel = NULL; |
| context = NULL; |
| queue = NULL; |
| outputReady = MagickFalse; |
| |
| assert(image != (Image *) NULL); |
| assert(image->signature == MagickCoreSignature); |
| if (image->debug != MagickFalse) |
| (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename); |
| |
| /* |
| * initialize opencl env |
| */ |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| /* |
| Allocate and initialize histogram arrays. |
| */ |
| histogram=(cl_uint4 *) AcquireQuantumMemory(MaxMap+1UL, sizeof(*histogram)); |
| if (histogram == (cl_uint4 *) NULL) |
| ThrowBinaryException(ResourceLimitWarning,"MemoryAllocationFailed", image->filename); |
| |
| /* reset histogram */ |
| (void) ResetMagickMemory(histogram,0,(MaxMap+1)*sizeof(*histogram)); |
| |
| /* Create and initialize OpenCL buffers. */ |
| /* inputPixels = AcquirePixelCachePixels(image, &length, exception); */ |
| /* assume this will get a writable image */ |
| image_view=AcquireAuthenticCacheView(image,exception); |
| inputPixels=GetCacheViewAuthenticPixels(image_view,0,0,image->columns,image->rows,exception); |
| |
| if (inputPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of cl_uint, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(histogram,cl_uint4)) |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_USE_HOST_PTR; |
| hostPtr = histogram; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_COPY_HOST_PTR; |
| hostPtr = histogram; |
| } |
| /* create a CL buffer for histogram */ |
| length = (MaxMap+1); |
| histogramBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(cl_uint4), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| status = LaunchHistogramKernel(clEnv, queue, imageBuffer, histogramBuffer, image, channel, exception); |
| if (status == MagickFalse) |
| goto cleanup; |
| |
| /* read from the kenel output */ |
| if (ALIGNED(histogram,cl_uint4)) |
| { |
| length = (MaxMap+1); |
| clEnv->library->clEnqueueMapBuffer(queue, histogramBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(cl_uint4), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = (MaxMap+1); |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, histogramBuffer, CL_TRUE, 0, length * sizeof(cl_uint4), histogram, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* unmap, don't block gpu to use this buffer again. */ |
| if (ALIGNED(histogram,cl_uint4)) |
| { |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, histogramBuffer, histogram, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| /* recreate input buffer later, in case image updated */ |
| #ifdef RECREATEBUFFER |
| if (imageBuffer!=NULL) |
| clEnv->library->clReleaseMemObject(imageBuffer); |
| #endif |
| |
| /* CPU stuff */ |
| equalize_map=(PixelPacket *) AcquireQuantumMemory(MaxMap+1UL, sizeof(*equalize_map)); |
| if (equalize_map == (PixelPacket *) NULL) |
| ThrowBinaryException(ResourceLimitWarning,"MemoryAllocationFailed", image->filename); |
| |
| map=(FloatPixelPacket *) AcquireQuantumMemory(MaxMap+1UL,sizeof(*map)); |
| if (map == (FloatPixelPacket *) NULL) |
| ThrowBinaryException(ResourceLimitWarning,"MemoryAllocationFailed", image->filename); |
| |
| /* |
| Integrate the histogram to get the equalization map. |
| */ |
| (void) ResetMagickMemory(&intensity,0,sizeof(intensity)); |
| for (i=0; i <= (ssize_t) MaxMap; i++) |
| { |
| if ((channel & SyncChannels) != 0) |
| { |
| intensity.red+=histogram[i].s[2]; |
| map[i]=intensity; |
| continue; |
| } |
| if ((channel & RedChannel) != 0) |
| intensity.red+=histogram[i].s[2]; |
| if ((channel & GreenChannel) != 0) |
| intensity.green+=histogram[i].s[1]; |
| if ((channel & BlueChannel) != 0) |
| intensity.blue+=histogram[i].s[0]; |
| if ((channel & OpacityChannel) != 0) |
| intensity.alpha+=histogram[i].s[3]; |
| /* |
| if (((channel & IndexChannel) != 0) && |
| (image->colorspace == CMYKColorspace)) |
| { |
| intensity.index+=histogram[i].index; |
| } |
| */ |
| map[i]=intensity; |
| } |
| black=map[0]; |
| white=map[(int) MaxMap]; |
| (void) ResetMagickMemory(equalize_map,0,(MaxMap+1)*sizeof(*equalize_map)); |
| for (i=0; i <= (ssize_t) MaxMap; i++) |
| { |
| if ((channel & SyncChannels) != 0) |
| { |
| if (white.red != black.red) |
| equalize_map[i].red=ScaleMapToQuantum((MagickRealType) ((MaxMap* |
| (map[i].red-black.red))/(white.red-black.red))); |
| continue; |
| } |
| if (((channel & RedChannel) != 0) && (white.red != black.red)) |
| equalize_map[i].red=ScaleMapToQuantum((MagickRealType) ((MaxMap* |
| (map[i].red-black.red))/(white.red-black.red))); |
| if (((channel & GreenChannel) != 0) && (white.green != black.green)) |
| equalize_map[i].green=ScaleMapToQuantum((MagickRealType) ((MaxMap* |
| (map[i].green-black.green))/(white.green-black.green))); |
| if (((channel & BlueChannel) != 0) && (white.blue != black.blue)) |
| equalize_map[i].blue=ScaleMapToQuantum((MagickRealType) ((MaxMap* |
| (map[i].blue-black.blue))/(white.blue-black.blue))); |
| if (((channel & OpacityChannel) != 0) && (white.alpha != black.alpha)) |
| equalize_map[i].alpha=ScaleMapToQuantum((MagickRealType) ((MaxMap* |
| (map[i].alpha-black.alpha))/(white.alpha-black.alpha))); |
| /* |
| if ((((channel & IndexChannel) != 0) && |
| (image->colorspace == CMYKColorspace)) && |
| (white.index != black.index)) |
| equalize_map[i].index=ScaleMapToQuantum((MagickRealType) ((MaxMap* |
| (map[i].index-black.index))/(white.index-black.index))); |
| */ |
| } |
| |
| if (image->storage_class == PseudoClass) |
| { |
| /* |
| Equalize colormap. |
| */ |
| for (i=0; i < (ssize_t) image->colors; i++) |
| { |
| if ((channel & SyncChannels) != 0) |
| { |
| if (white.red != black.red) |
| { |
| image->colormap[i].red=equalize_map[ |
| ScaleQuantumToMap(image->colormap[i].red)].red; |
| image->colormap[i].green=equalize_map[ |
| ScaleQuantumToMap(image->colormap[i].green)].red; |
| image->colormap[i].blue=equalize_map[ |
| ScaleQuantumToMap(image->colormap[i].blue)].red; |
| image->colormap[i].alpha=equalize_map[ |
| ScaleQuantumToMap(image->colormap[i].alpha)].red; |
| } |
| continue; |
| } |
| if (((channel & RedChannel) != 0) && (white.red != black.red)) |
| image->colormap[i].red=equalize_map[ |
| ScaleQuantumToMap(image->colormap[i].red)].red; |
| if (((channel & GreenChannel) != 0) && (white.green != black.green)) |
| image->colormap[i].green=equalize_map[ |
| ScaleQuantumToMap(image->colormap[i].green)].green; |
| if (((channel & BlueChannel) != 0) && (white.blue != black.blue)) |
| image->colormap[i].blue=equalize_map[ |
| ScaleQuantumToMap(image->colormap[i].blue)].blue; |
| if (((channel & OpacityChannel) != 0) && |
| (white.alpha != black.alpha)) |
| image->colormap[i].alpha=equalize_map[ |
| ScaleQuantumToMap(image->colormap[i].alpha)].alpha; |
| } |
| } |
| |
| /* |
| Equalize image. |
| */ |
| |
| /* GPU can work on this again, image and equalize map as input |
| image: uchar4 (CLPixelPacket) |
| equalize_map: uchar4 (PixelPacket) |
| black, white: float4 (FloatPixelPacket) */ |
| |
| #ifdef RECREATEBUFFER |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| #endif |
| |
| /* Create and initialize OpenCL buffers. */ |
| if (ALIGNED(equalize_map, PixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = equalize_map; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_COPY_HOST_PTR; |
| hostPtr = equalize_map; |
| } |
| /* create a CL buffer for eqaulize_map */ |
| length = (MaxMap+1); |
| equalizeMapBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(PixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| /* get the OpenCL kernel */ |
| equalizeKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "Equalize"); |
| if (equalizeKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(equalizeKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(equalizeKernel,i++,sizeof(ChannelType),&channel); |
| clStatus|=clEnv->library->clSetKernelArg(equalizeKernel,i++,sizeof(cl_mem),(void *)&equalizeMapBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(equalizeKernel,i++,sizeof(FloatPixelPacket),&white); |
| clStatus|=clEnv->library->clSetKernelArg(equalizeKernel,i++,sizeof(FloatPixelPacket),&black); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* launch the kernel */ |
| global_work_size[0] = image->columns; |
| global_work_size[1] = image->rows; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, equalizeKernel, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| |
| /* read the data back */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, imageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, imageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), inputPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(image_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| |
| if (imageBuffer!=NULL) |
| clEnv->library->clReleaseMemObject(imageBuffer); |
| |
| if (map!=NULL) |
| map=(FloatPixelPacket *) RelinquishMagickMemory(map); |
| |
| if (equalizeMapBuffer!=NULL) |
| clEnv->library->clReleaseMemObject(equalizeMapBuffer); |
| if (equalize_map!=NULL) |
| equalize_map=(PixelPacket *) RelinquishMagickMemory(equalize_map); |
| |
| if (histogramBuffer!=NULL) |
| clEnv->library->clReleaseMemObject(histogramBuffer); |
| if (histogram!=NULL) |
| histogram=(cl_uint4 *) RelinquishMagickMemory(histogram); |
| |
| if (histogramKernel!=NULL) |
| RelinquishOpenCLKernel(clEnv, histogramKernel); |
| if (equalizeKernel!=NULL) |
| RelinquishOpenCLKernel(clEnv, equalizeKernel); |
| |
| if (queue != NULL) |
| RelinquishOpenCLCommandQueue(clEnv, queue); |
| |
| return(outputReady); |
| } |
| |
| MagickExport MagickBooleanType AccelerateEqualizeImage(Image *image, |
| const ChannelType channel,ExceptionInfo *exception) |
| { |
| MagickBooleanType |
| status; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, channel) == MagickFalse) || |
| (checkHistogramCondition(image, channel) == MagickFalse)) |
| return(MagickFalse); |
| |
| status=ComputeEqualizeImage(image,channel,exception); |
| return(status); |
| } |
| |
| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % C o n t r a s t S t r e t c h I m a g e w i t h O p e n C L % |
| % % |
| % % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % |
| % ContrastStretchImage() is a simple image enhancement technique that attempts |
| % to improve the contrast in an image by `stretching' the range of intensity |
| % values it contains to span a desired range of values. It differs from the |
| % more sophisticated histogram equalization in that it can only apply a |
| % linear scaling function to the image pixel values. As a result the |
| % `enhancement' is less harsh. |
| % |
| % The format of the ContrastStretchImage method is: |
| % |
| % MagickBooleanType ContrastStretchImage(Image *image, |
| % const char *levels) |
| % MagickBooleanType ContrastStretchImageChannel(Image *image, |
| % const size_t channel,const double black_point, |
| % const double white_point) |
| % |
| % A description of each parameter follows: |
| % |
| % o image: the image. |
| % |
| % o channel: the channel. |
| % |
| % o black_point: the black point. |
| % |
| % o white_point: the white point. |
| % |
| % o levels: Specify the levels where the black and white points have the |
| % range of 0 to number-of-pixels (e.g. 1%, 10x90%, etc.). |
| % |
| */ |
| |
| MagickExport MagickBooleanType ComputeContrastStretchImageChannel(Image *image, |
| const ChannelType channel,const double black_point,const double white_point, |
| ExceptionInfo *exception) |
| { |
| #define ContrastStretchImageTag "ContrastStretch/Image" |
| #define MaxRange(color) ((MagickRealType) ScaleQuantumToMap((Quantum) (color))) |
| |
| CacheView |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| clStatus; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| cl_mem |
| histogramBuffer, |
| imageBuffer, |
| stretchMapBuffer; |
| |
| cl_kernel |
| histogramKernel, |
| stretchKernel; |
| |
| cl_uint4 |
| *histogram; |
| |
| double |
| intensity; |
| |
| FloatPixelPacket |
| black, |
| white; |
| |
| MagickBooleanType |
| outputReady, |
| status; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| PixelPacket |
| *stretch_map; |
| |
| register ssize_t |
| i; |
| |
| size_t |
| global_work_size[2]; |
| |
| void |
| *hostPtr, |
| *inputPixels; |
| |
| histogram=NULL; |
| stretch_map=NULL; |
| inputPixels = NULL; |
| imageBuffer = NULL; |
| histogramBuffer = NULL; |
| stretchMapBuffer = NULL; |
| histogramKernel = NULL; |
| stretchKernel = NULL; |
| context = NULL; |
| queue = NULL; |
| outputReady = MagickFalse; |
| |
| |
| assert(image != (Image *) NULL); |
| assert(image->signature == MagickCoreSignature); |
| if (image->debug != MagickFalse) |
| (void) LogMagickEvent(TraceEvent,GetMagickModule(),"%s",image->filename); |
| |
| //exception=(&image->exception); |
| |
| /* |
| * initialize opencl env |
| */ |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| /* |
| Allocate and initialize histogram arrays. |
| */ |
| histogram=(cl_uint4 *) AcquireQuantumMemory(MaxMap+1UL, sizeof(*histogram)); |
| |
| if (histogram == (cl_uint4 *) NULL) |
| ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed", image->filename); |
| |
| /* reset histogram */ |
| (void) ResetMagickMemory(histogram,0,(MaxMap+1)*sizeof(*histogram)); |
| |
| /* |
| if (IsGrayImage(image,exception) != MagickFalse) |
| (void) SetImageColorspace(image,GRAYColorspace); |
| */ |
| |
| status=MagickTrue; |
| |
| |
| /* |
| Form histogram. |
| */ |
| /* Create and initialize OpenCL buffers. */ |
| /* inputPixels = AcquirePixelCachePixels(image, &length, exception); */ |
| /* assume this will get a writable image */ |
| image_view=AcquireAuthenticCacheView(image,exception); |
| inputPixels=GetCacheViewAuthenticPixels(image_view,0,0,image->columns,image->rows,exception); |
| |
| if (inputPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of cl_uint, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(histogram,cl_uint4)) |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_USE_HOST_PTR; |
| hostPtr = histogram; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_COPY_HOST_PTR; |
| hostPtr = histogram; |
| } |
| /* create a CL buffer for histogram */ |
| length = (MaxMap+1); |
| histogramBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(cl_uint4), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| status = LaunchHistogramKernel(clEnv, queue, imageBuffer, histogramBuffer, image, channel, exception); |
| if (status == MagickFalse) |
| goto cleanup; |
| |
| /* read from the kenel output */ |
| if (ALIGNED(histogram,cl_uint4)) |
| { |
| length = (MaxMap+1); |
| clEnv->library->clEnqueueMapBuffer(queue, histogramBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(cl_uint4), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = (MaxMap+1); |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, histogramBuffer, CL_TRUE, 0, length * sizeof(cl_uint4), histogram, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* unmap, don't block gpu to use this buffer again. */ |
| if (ALIGNED(histogram,cl_uint4)) |
| { |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, histogramBuffer, histogram, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| /* recreate input buffer later, in case image updated */ |
| #ifdef RECREATEBUFFER |
| if (imageBuffer!=NULL) |
| clEnv->library->clReleaseMemObject(imageBuffer); |
| #endif |
| |
| /* CPU stuff */ |
| /* |
| Find the histogram boundaries by locating the black/white levels. |
| */ |
| black.red=0.0; |
| white.red=MaxRange(QuantumRange); |
| if ((channel & RedChannel) != 0) |
| { |
| intensity=0.0; |
| for (i=0; i <= (ssize_t) MaxMap; i++) |
| { |
| intensity+=histogram[i].s[2]; |
| if (intensity > black_point) |
| break; |
| } |
| black.red=(MagickRealType) i; |
| intensity=0.0; |
| for (i=(ssize_t) MaxMap; i != 0; i--) |
| { |
| intensity+=histogram[i].s[2]; |
| if (intensity > ((double) image->columns*image->rows-white_point)) |
| break; |
| } |
| white.red=(MagickRealType) i; |
| } |
| black.green=0.0; |
| white.green=MaxRange(QuantumRange); |
| if ((channel & GreenChannel) != 0) |
| { |
| intensity=0.0; |
| for (i=0; i <= (ssize_t) MaxMap; i++) |
| { |
| intensity+=histogram[i].s[2]; |
| if (intensity > black_point) |
| break; |
| } |
| black.green=(MagickRealType) i; |
| intensity=0.0; |
| for (i=(ssize_t) MaxMap; i != 0; i--) |
| { |
| intensity+=histogram[i].s[2]; |
| if (intensity > ((double) image->columns*image->rows-white_point)) |
| break; |
| } |
| white.green=(MagickRealType) i; |
| } |
| black.blue=0.0; |
| white.blue=MaxRange(QuantumRange); |
| if ((channel & BlueChannel) != 0) |
| { |
| intensity=0.0; |
| for (i=0; i <= (ssize_t) MaxMap; i++) |
| { |
| intensity+=histogram[i].s[2]; |
| if (intensity > black_point) |
| break; |
| } |
| black.blue=(MagickRealType) i; |
| intensity=0.0; |
| for (i=(ssize_t) MaxMap; i != 0; i--) |
| { |
| intensity+=histogram[i].s[2]; |
| if (intensity > ((double) image->columns*image->rows-white_point)) |
| break; |
| } |
| white.blue=(MagickRealType) i; |
| } |
| black.alpha=0.0; |
| white.alpha=MaxRange(QuantumRange); |
| if ((channel & OpacityChannel) != 0) |
| { |
| intensity=0.0; |
| for (i=0; i <= (ssize_t) MaxMap; i++) |
| { |
| intensity+=histogram[i].s[2]; |
| if (intensity > black_point) |
| break; |
| } |
| black.alpha=(MagickRealType) i; |
| intensity=0.0; |
| for (i=(ssize_t) MaxMap; i != 0; i--) |
| { |
| intensity+=histogram[i].s[2]; |
| if (intensity > ((double) image->columns*image->rows-white_point)) |
| break; |
| } |
| white.alpha=(MagickRealType) i; |
| } |
| /* |
| black.index=0.0; |
| white.index=MaxRange(QuantumRange); |
| if (((channel & IndexChannel) != 0) && (image->colorspace == CMYKColorspace)) |
| { |
| intensity=0.0; |
| for (i=0; i <= (ssize_t) MaxMap; i++) |
| { |
| intensity+=histogram[i].index; |
| if (intensity > black_point) |
| break; |
| } |
| black.index=(MagickRealType) i; |
| intensity=0.0; |
| for (i=(ssize_t) MaxMap; i != 0; i--) |
| { |
| intensity+=histogram[i].index; |
| if (intensity > ((double) image->columns*image->rows-white_point)) |
| break; |
| } |
| white.index=(MagickRealType) i; |
| } |
| */ |
| |
| |
| stretch_map=(PixelPacket *) AcquireQuantumMemory(MaxMap+1UL, |
| sizeof(*stretch_map)); |
| |
| if (stretch_map == (PixelPacket *) NULL) |
| ThrowBinaryException(ResourceLimitError,"MemoryAllocationFailed", |
| image->filename); |
| |
| /* |
| Stretch the histogram to create the stretched image mapping. |
| */ |
| (void) ResetMagickMemory(stretch_map,0,(MaxMap+1)*sizeof(*stretch_map)); |
| for (i=0; i <= (ssize_t) MaxMap; i++) |
| { |
| if ((channel & RedChannel) != 0) |
| { |
| if (i < (ssize_t) black.red) |
| stretch_map[i].red=(Quantum) 0; |
| else |
| if (i > (ssize_t) white.red) |
| stretch_map[i].red=QuantumRange; |
| else |
| if (black.red != white.red) |
| stretch_map[i].red=ScaleMapToQuantum((MagickRealType) (MaxMap* |
| (i-black.red)/(white.red-black.red))); |
| } |
| if ((channel & GreenChannel) != 0) |
| { |
| if (i < (ssize_t) black.green) |
| stretch_map[i].green=0; |
| else |
| if (i > (ssize_t) white.green) |
| stretch_map[i].green=QuantumRange; |
| else |
| if (black.green != white.green) |
| stretch_map[i].green=ScaleMapToQuantum((MagickRealType) (MaxMap* |
| (i-black.green)/(white.green-black.green))); |
| } |
| if ((channel & BlueChannel) != 0) |
| { |
| if (i < (ssize_t) black.blue) |
| stretch_map[i].blue=0; |
| else |
| if (i > (ssize_t) white.blue) |
| stretch_map[i].blue= QuantumRange; |
| else |
| if (black.blue != white.blue) |
| stretch_map[i].blue=ScaleMapToQuantum((MagickRealType) (MaxMap* |
| (i-black.blue)/(white.blue-black.blue))); |
| } |
| if ((channel & OpacityChannel) != 0) |
| { |
| if (i < (ssize_t) black.alpha) |
| stretch_map[i].alpha=0; |
| else |
| if (i > (ssize_t) white.alpha) |
| stretch_map[i].alpha=QuantumRange; |
| else |
| if (black.alpha != white.alpha) |
| stretch_map[i].alpha=ScaleMapToQuantum((MagickRealType) (MaxMap* |
| (i-black.alpha)/(white.alpha-black.alpha))); |
| } |
| /* |
| if (((channel & IndexChannel) != 0) && |
| (image->colorspace == CMYKColorspace)) |
| { |
| if (i < (ssize_t) black.index) |
| stretch_map[i].index=0; |
| else |
| if (i > (ssize_t) white.index) |
| stretch_map[i].index=QuantumRange; |
| else |
| if (black.index != white.index) |
| stretch_map[i].index=ScaleMapToQuantum((MagickRealType) (MaxMap* |
| (i-black.index)/(white.index-black.index))); |
| } |
| */ |
| } |
| |
| /* |
| Stretch the image. |
| */ |
| if (((channel & OpacityChannel) != 0) || (((channel & IndexChannel) != 0) && |
| (image->colorspace == CMYKColorspace))) |
| image->storage_class=DirectClass; |
| if (image->storage_class == PseudoClass) |
| { |
| /* |
| Stretch colormap. |
| */ |
| for (i=0; i < (ssize_t) image->colors; i++) |
| { |
| if ((channel & RedChannel) != 0) |
| { |
| if (black.red != white.red) |
| image->colormap[i].red=stretch_map[ |
| ScaleQuantumToMap(image->colormap[i].red)].red; |
| } |
| if ((channel & GreenChannel) != 0) |
| { |
| if (black.green != white.green) |
| image->colormap[i].green=stretch_map[ |
| ScaleQuantumToMap(image->colormap[i].green)].green; |
| } |
| if ((channel & BlueChannel) != 0) |
| { |
| if (black.blue != white.blue) |
| image->colormap[i].blue=stretch_map[ |
| ScaleQuantumToMap(image->colormap[i].blue)].blue; |
| } |
| if ((channel & OpacityChannel) != 0) |
| { |
| if (black.alpha != white.alpha) |
| image->colormap[i].alpha=stretch_map[ |
| ScaleQuantumToMap(image->colormap[i].alpha)].alpha; |
| } |
| } |
| } |
| |
| /* |
| Stretch image. |
| */ |
| |
| |
| /* GPU can work on this again, image and equalize map as input |
| image: uchar4 (CLPixelPacket) |
| stretch_map: uchar4 (PixelPacket) |
| black, white: float4 (FloatPixelPacket) */ |
| |
| #ifdef RECREATEBUFFER |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| #endif |
| |
| /* Create and initialize OpenCL buffers. */ |
| if (ALIGNED(stretch_map, PixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = stretch_map; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_COPY_HOST_PTR; |
| hostPtr = stretch_map; |
| } |
| /* create a CL buffer for stretch_map */ |
| length = (MaxMap+1); |
| stretchMapBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(PixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| /* get the OpenCL kernel */ |
| stretchKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "Stretch"); |
| if (stretchKernel == NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* set the kernel arguments */ |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(stretchKernel,i++,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(stretchKernel,i++,sizeof(ChannelType),&channel); |
| clStatus|=clEnv->library->clSetKernelArg(stretchKernel,i++,sizeof(cl_mem),(void *)&stretchMapBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(stretchKernel,i++,sizeof(FloatPixelPacket),&white); |
| clStatus|=clEnv->library->clSetKernelArg(stretchKernel,i++,sizeof(FloatPixelPacket),&black); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| /* launch the kernel */ |
| global_work_size[0] = image->columns; |
| global_work_size[1] = image->rows; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, stretchKernel, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| |
| /* read the data back */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, imageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, imageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), inputPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(image_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| |
| if (imageBuffer!=NULL) |
| clEnv->library->clReleaseMemObject(imageBuffer); |
| |
| if (stretchMapBuffer!=NULL) |
| clEnv->library->clReleaseMemObject(stretchMapBuffer); |
| if (stretch_map!=NULL) |
| stretch_map=(PixelPacket *) RelinquishMagickMemory(stretch_map); |
| |
| |
| if (histogramBuffer!=NULL) |
| clEnv->library->clReleaseMemObject(histogramBuffer); |
| if (histogram!=NULL) |
| histogram=(cl_uint4 *) RelinquishMagickMemory(histogram); |
| |
| |
| if (histogramKernel!=NULL) |
| RelinquishOpenCLKernel(clEnv, histogramKernel); |
| if (stretchKernel!=NULL) |
| RelinquishOpenCLKernel(clEnv, stretchKernel); |
| |
| if (queue != NULL) |
| RelinquishOpenCLCommandQueue(clEnv, queue); |
| |
| return(outputReady); |
| } |
| |
| MagickExport MagickBooleanType AccelerateContrastStretchImageChannel( |
| Image *image,const ChannelType channel,const double black_point, |
| const double white_point,ExceptionInfo *exception) |
| { |
| MagickBooleanType |
| status; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, channel) == MagickFalse) || |
| (checkHistogramCondition(image, channel) == MagickFalse)) |
| return(MagickFalse); |
| |
| status=ComputeContrastStretchImageChannel(image,channel, black_point, white_point, exception); |
| return(status); |
| } |
| |
| /* |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % % |
| % % |
| % % |
| % D e s p e c k l e I m a g e w i t h O p e n C L % |
| % % |
| % % |
| % % |
| %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% |
| % |
| % DespeckleImage() reduces the speckle noise in an image while perserving the |
| % edges of the original image. A speckle removing filter uses a complementary |
| % hulling technique (raising pixels that are darker than their surrounding |
| % neighbors, then complementarily lowering pixels that are brighter than their |
| % surrounding neighbors) to reduce the speckle index of that image (reference |
| % Crimmins speckle removal). |
| % |
| % The format of the DespeckleImage method is: |
| % |
| % Image *DespeckleImage(const Image *image,ExceptionInfo *exception) |
| % |
| % A description of each parameter follows: |
| % |
| % o image: the image. |
| % |
| % o exception: return any errors or warnings in this structure. |
| % |
| */ |
| |
| static Image *ComputeDespeckleImage(const Image *image, |
| ExceptionInfo*exception) |
| { |
| static const int |
| X[4] = {0, 1, 1,-1}, |
| Y[4] = {1, 0, 1, 1}; |
| |
| CacheView |
| *filteredImage_view, |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| clStatus; |
| |
| cl_kernel |
| hullPass1, |
| hullPass2; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| cl_mem |
| filteredImageBuffer, |
| imageBuffer, |
| tempImageBuffer[2]; |
| |
| const void |
| *inputPixels; |
| |
| Image |
| *filteredImage; |
| |
| int |
| k, |
| matte; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| size_t |
| global_work_size[2]; |
| |
| unsigned int |
| imageHeight, |
| imageWidth; |
| |
| void |
| *filteredPixels, |
| *hostPtr; |
| |
| outputReady = MagickFalse; |
| clEnv = NULL; |
| inputPixels = NULL; |
| filteredImage = NULL; |
| filteredImage_view = NULL; |
| filteredPixels = NULL; |
| context = NULL; |
| imageBuffer = NULL; |
| filteredImageBuffer = NULL; |
| hullPass1 = NULL; |
| hullPass2 = NULL; |
| queue = NULL; |
| tempImageBuffer[0] = tempImageBuffer[1] = NULL; |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| image_view=AcquireVirtualCacheView(image,exception); |
| inputPixels=GetCacheViewVirtualPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| mem_flags = CL_MEM_READ_WRITE; |
| length = image->columns * image->rows; |
| for (k = 0; k < 2; k++) |
| { |
| tempImageBuffer[k] = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| } |
| |
| filteredImage = CloneImage(image,image->columns,image->rows,MagickTrue,exception); |
| assert(filteredImage != NULL); |
| if (SetImageStorageClass(filteredImage,DirectClass,exception) != MagickTrue) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "CloneImage failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| filteredImage_view=AcquireAuthenticCacheView(filteredImage,exception); |
| filteredPixels=GetCacheViewAuthenticPixels(filteredImage_view,0,0,filteredImage->columns,filteredImage->rows,exception); |
| if (filteredPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, "UnableToReadPixelCache.","`%s'",filteredImage->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_WRITE_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = filteredPixels; |
| } |
| else |
| { |
| mem_flags = CL_MEM_WRITE_ONLY; |
| hostPtr = NULL; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| filteredImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| hullPass1 = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "HullPass1"); |
| hullPass2 = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "HullPass2"); |
| |
| clStatus =clEnv->library->clSetKernelArg(hullPass1,0,sizeof(cl_mem),(void *)&imageBuffer); |
| clStatus |=clEnv->library->clSetKernelArg(hullPass1,1,sizeof(cl_mem),(void *)(tempImageBuffer+1)); |
| imageWidth = (unsigned int) image->columns; |
| clStatus |=clEnv->library->clSetKernelArg(hullPass1,2,sizeof(unsigned int),(void *)&imageWidth); |
| imageHeight = (unsigned int) image->rows; |
| clStatus |=clEnv->library->clSetKernelArg(hullPass1,3,sizeof(unsigned int),(void *)&imageHeight); |
| matte = (image->alpha_trait == UndefinedPixelTrait)?0:1; |
| clStatus |=clEnv->library->clSetKernelArg(hullPass1,6,sizeof(int),(void *)&matte); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| clStatus = clEnv->library->clSetKernelArg(hullPass2,0,sizeof(cl_mem),(void *)(tempImageBuffer+1)); |
| clStatus |=clEnv->library->clSetKernelArg(hullPass2,1,sizeof(cl_mem),(void *)tempImageBuffer); |
| imageWidth = (unsigned int) image->columns; |
| clStatus |=clEnv->library->clSetKernelArg(hullPass2,2,sizeof(unsigned int),(void *)&imageWidth); |
| imageHeight = (unsigned int) image->rows; |
| clStatus |=clEnv->library->clSetKernelArg(hullPass2,3,sizeof(unsigned int),(void *)&imageHeight); |
| matte = (image->alpha_trait == UndefinedPixelTrait)?0:1; |
| clStatus |=clEnv->library->clSetKernelArg(hullPass2,6,sizeof(int),(void *)&matte); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| |
| global_work_size[0] = image->columns; |
| global_work_size[1] = image->rows; |
| |
| |
| for (k = 0; k < 4; k++) |
| { |
| cl_int2 offset; |
| int polarity; |
| |
| |
| offset.s[0] = X[k]; |
| offset.s[1] = Y[k]; |
| polarity = 1; |
| clStatus = clEnv->library->clSetKernelArg(hullPass1,4,sizeof(cl_int2),(void *)&offset); |
| clStatus|= clEnv->library->clSetKernelArg(hullPass1,5,sizeof(int),(void *)&polarity); |
| clStatus|=clEnv->library->clSetKernelArg(hullPass2,4,sizeof(cl_int2),(void *)&offset); |
| clStatus|=clEnv->library->clSetKernelArg(hullPass2,5,sizeof(int),(void *)&polarity); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, hullPass1, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, hullPass2, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| |
| if (k == 0) |
| clStatus =clEnv->library->clSetKernelArg(hullPass1,0,sizeof(cl_mem),(void *)(tempImageBuffer)); |
| offset.s[0] = -X[k]; |
| offset.s[1] = -Y[k]; |
| polarity = 1; |
| clStatus = clEnv->library->clSetKernelArg(hullPass1,4,sizeof(cl_int2),(void *)&offset); |
| clStatus|= clEnv->library->clSetKernelArg(hullPass1,5,sizeof(int),(void *)&polarity); |
| clStatus|=clEnv->library->clSetKernelArg(hullPass2,4,sizeof(cl_int2),(void *)&offset); |
| clStatus|=clEnv->library->clSetKernelArg(hullPass2,5,sizeof(int),(void *)&polarity); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, hullPass1, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, hullPass2, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| offset.s[0] = -X[k]; |
| offset.s[1] = -Y[k]; |
| polarity = -1; |
| clStatus = clEnv->library->clSetKernelArg(hullPass1,4,sizeof(cl_int2),(void *)&offset); |
| clStatus|= clEnv->library->clSetKernelArg(hullPass1,5,sizeof(int),(void *)&polarity); |
| clStatus|=clEnv->library->clSetKernelArg(hullPass2,4,sizeof(cl_int2),(void *)&offset); |
| clStatus|=clEnv->library->clSetKernelArg(hullPass2,5,sizeof(int),(void *)&polarity); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, hullPass1, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, hullPass2, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| offset.s[0] = X[k]; |
| offset.s[1] = Y[k]; |
| polarity = -1; |
| clStatus = clEnv->library->clSetKernelArg(hullPass1,4,sizeof(cl_int2),(void *)&offset); |
| clStatus|= clEnv->library->clSetKernelArg(hullPass1,5,sizeof(int),(void *)&polarity); |
| clStatus|=clEnv->library->clSetKernelArg(hullPass2,4,sizeof(cl_int2),(void *)&offset); |
| clStatus|=clEnv->library->clSetKernelArg(hullPass2,5,sizeof(int),(void *)&polarity); |
| |
| if (k == 3) |
| clStatus |=clEnv->library->clSetKernelArg(hullPass2,1,sizeof(cl_mem),(void *)&filteredImageBuffer); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, hullPass1, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| /* launch the kernel */ |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, hullPass2, 2, NULL, global_work_size, NULL, 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, filteredImageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, filteredImageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), filteredPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(filteredImage_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| if (filteredImage_view != NULL) |
| filteredImage_view=DestroyCacheView(filteredImage_view); |
| |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| for (k = 0; k < 2; k++) |
| { |
| if (tempImageBuffer[k]!=NULL) clEnv->library->clReleaseMemObject(tempImageBuffer[k]); |
| } |
| if (filteredImageBuffer!=NULL) clEnv->library->clReleaseMemObject(filteredImageBuffer); |
| if (hullPass1!=NULL) RelinquishOpenCLKernel(clEnv, hullPass1); |
| if (hullPass2!=NULL) RelinquishOpenCLKernel(clEnv, hullPass2); |
| if (outputReady == MagickFalse && filteredImage != NULL) |
| filteredImage=DestroyImage(filteredImage); |
| return(filteredImage); |
| } |
| |
| MagickExport Image *AccelerateDespeckleImage(const Image* image, |
| ExceptionInfo* exception) |
| { |
| Image |
| *filteredImage; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, AllChannels) == MagickFalse)) |
| return NULL; |
| |
| filteredImage=ComputeDespeckleImage(image,exception); |
| return(filteredImage); |
| } |
| |
| static Image *ComputeAddNoiseImage(const Image *image, |
| const ChannelType channel,const NoiseType noise_type, |
| ExceptionInfo *exception) |
| { |
| CacheView |
| *filteredImage_view, |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| inputPixelCount, |
| pixelsPerWorkitem, |
| clStatus; |
| |
| cl_uint |
| seed0, |
| seed1; |
| |
| cl_kernel |
| addNoiseKernel; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| cl_mem |
| filteredImageBuffer, |
| imageBuffer; |
| |
| const char |
| *option; |
| |
| const void |
| *inputPixels; |
| |
| float |
| attenuate; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| Image |
| *filteredImage; |
| |
| RandomInfo |
| **restrict random_info; |
| |
| size_t |
| global_work_size[1], |
| local_work_size[1]; |
| |
| unsigned int |
| k, |
| numRandomNumberPerPixel; |
| |
| #if defined(MAGICKCORE_OPENMP_SUPPORT) |
| unsigned long |
| key; |
| #endif |
| |
| void |
| *filteredPixels, |
| *hostPtr; |
| |
| outputReady = MagickFalse; |
| clEnv = NULL; |
| inputPixels = NULL; |
| filteredImage = NULL; |
| filteredImage_view = NULL; |
| filteredPixels = NULL; |
| context = NULL; |
| imageBuffer = NULL; |
| filteredImageBuffer = NULL; |
| queue = NULL; |
| addNoiseKernel = NULL; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| image_view=AcquireVirtualCacheView(image,exception); |
| inputPixels=GetCacheViewVirtualPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| |
| filteredImage = CloneImage(image,image->columns,image->rows,MagickTrue,exception); |
| assert(filteredImage != NULL); |
| if (SetImageStorageClass(filteredImage,DirectClass,exception) != MagickTrue) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "CloneImage failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| filteredImage_view=AcquireAuthenticCacheView(filteredImage,exception); |
| filteredPixels=GetCacheViewAuthenticPixels(filteredImage_view,0,0,filteredImage->columns,filteredImage->rows,exception); |
| if (filteredPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, "UnableToReadPixelCache.","`%s'",filteredImage->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_WRITE_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = filteredPixels; |
| } |
| else |
| { |
| mem_flags = CL_MEM_WRITE_ONLY; |
| hostPtr = NULL; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| filteredImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| /* find out how many random numbers needed by pixel */ |
| numRandomNumberPerPixel = 0; |
| { |
| unsigned int numRandPerChannel = 0; |
| switch (noise_type) |
| { |
| case UniformNoise: |
| case ImpulseNoise: |
| case LaplacianNoise: |
| case RandomNoise: |
| default: |
| numRandPerChannel = 1; |
| break; |
| case GaussianNoise: |
| case MultiplicativeGaussianNoise: |
| case PoissonNoise: |
| numRandPerChannel = 2; |
| break; |
| }; |
| |
| if ((channel & RedChannel) != 0) |
| numRandomNumberPerPixel+=numRandPerChannel; |
| if ((channel & GreenChannel) != 0) |
| numRandomNumberPerPixel+=numRandPerChannel; |
| if ((channel & BlueChannel) != 0) |
| numRandomNumberPerPixel+=numRandPerChannel; |
| if ((channel & OpacityChannel) != 0) |
| numRandomNumberPerPixel+=numRandPerChannel; |
| } |
| |
| /* set up the random number generators */ |
| attenuate=1.0; |
| option=GetImageArtifact(image,"attenuate"); |
| if (option != (char *) NULL) |
| attenuate=StringToDouble(option,(char **) NULL); |
| random_info=AcquireRandomInfoThreadSet(); |
| #if defined(MAGICKCORE_OPENMP_SUPPORT) |
| key=GetRandomSecretKey(random_info[0]); |
| (void) key; |
| #endif |
| |
| addNoiseKernel = AcquireOpenCLKernel(clEnv,MAGICK_OPENCL_ACCELERATE,"GenerateNoiseImage"); |
| |
| { |
| cl_uint computeUnitCount; |
| cl_uint workItemCount; |
| clEnv->library->clGetDeviceInfo(clEnv->device, CL_DEVICE_MAX_COMPUTE_UNITS, sizeof(cl_uint), &computeUnitCount, NULL); |
| workItemCount = computeUnitCount * 2 * 256; // 256 work items per group, 2 groups per CU |
| inputPixelCount = (cl_int) (image->columns * image->rows); |
| pixelsPerWorkitem = (inputPixelCount + workItemCount - 1) / workItemCount; |
| pixelsPerWorkitem = ((pixelsPerWorkitem + 3) / 4) * 4; |
| |
| local_work_size[0] = 256; |
| global_work_size[0] = workItemCount; |
| } |
| { |
| RandomInfo* randomInfo = AcquireRandomInfo(); |
| const unsigned long* s = GetRandomInfoSeed(randomInfo); |
| seed0 = s[0]; |
| GetPseudoRandomValue(randomInfo); |
| seed1 = s[0]; |
| randomInfo = DestroyRandomInfo(randomInfo); |
| } |
| |
| k = 0; |
| clEnv->library->clSetKernelArg(addNoiseKernel,k++,sizeof(cl_mem),(void *)&imageBuffer); |
| clEnv->library->clSetKernelArg(addNoiseKernel,k++,sizeof(cl_mem),(void *)&filteredImageBuffer); |
| clEnv->library->clSetKernelArg(addNoiseKernel,k++,sizeof(cl_uint),(void *)&inputPixelCount); |
| clEnv->library->clSetKernelArg(addNoiseKernel,k++,sizeof(cl_uint),(void *)&pixelsPerWorkitem); |
| clEnv->library->clSetKernelArg(addNoiseKernel,k++,sizeof(ChannelType),(void *)&channel); |
| clEnv->library->clSetKernelArg(addNoiseKernel,k++,sizeof(NoiseType),(void *)&noise_type); |
| attenuate=1.0f; |
| option=GetImageArtifact(image,"attenuate"); |
| if (option != (char *) NULL) |
| attenuate=(float)StringToDouble(option,(char **) NULL); |
| clEnv->library->clSetKernelArg(addNoiseKernel,k++,sizeof(float),(void *)&attenuate); |
| clEnv->library->clSetKernelArg(addNoiseKernel,k++,sizeof(cl_uint),(void *)&seed0); |
| clEnv->library->clSetKernelArg(addNoiseKernel,k++,sizeof(cl_uint),(void *)&seed1); |
| clEnv->library->clSetKernelArg(addNoiseKernel,k++,sizeof(unsigned int),(void *)&numRandomNumberPerPixel); |
| |
| clEnv->library->clEnqueueNDRangeKernel(queue,addNoiseKernel,1,NULL,global_work_size,NULL,0,NULL,NULL); |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, filteredImageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, filteredImageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), filteredPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| outputReady=SyncCacheViewAuthenticPixels(filteredImage_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| if (filteredImage_view != NULL) |
| filteredImage_view=DestroyCacheView(filteredImage_view); |
| |
| if (queue!=NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| if (addNoiseKernel!=NULL) RelinquishOpenCLKernel(clEnv, addNoiseKernel); |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (filteredImageBuffer!=NULL) clEnv->library->clReleaseMemObject(filteredImageBuffer); |
| if (outputReady == MagickFalse && filteredImage != NULL) |
| filteredImage=DestroyImage(filteredImage); |
| |
| return(filteredImage); |
| } |
| |
| |
| MagickExport Image *AccelerateAddNoiseImage(const Image *image, |
| const ChannelType channel,const NoiseType noise_type, |
| ExceptionInfo *exception) |
| { |
| Image |
| *filteredImage; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, channel) == MagickFalse)) |
| return NULL; |
| |
| filteredImage = ComputeAddNoiseImage(image,channel,noise_type,exception); |
| |
| return(filteredImage); |
| } |
| |
| static MagickBooleanType LaunchRandomImageKernel(MagickCLEnv clEnv, |
| cl_command_queue queue,cl_mem imageBuffer,const unsigned int imageColumns, |
| const unsigned int imageRows,cl_mem seedBuffer, |
| const unsigned int numGenerators,ExceptionInfo *exception) |
| { |
| int |
| k; |
| |
| cl_int |
| clStatus; |
| |
| cl_kernel |
| randomImageKernel; |
| |
| MagickBooleanType |
| status; |
| |
| size_t |
| global_work_size, |
| local_work_size; |
| |
| status = MagickFalse; |
| randomImageKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, "RandomImage"); |
| |
| k = 0; |
| clEnv->library->clSetKernelArg(randomImageKernel,k++,sizeof(cl_mem),(void*)&imageBuffer); |
| clEnv->library->clSetKernelArg(randomImageKernel,k++,sizeof(cl_uint),(void*)&imageColumns); |
| clEnv->library->clSetKernelArg(randomImageKernel,k++,sizeof(cl_uint),(void*)&imageRows); |
| clEnv->library->clSetKernelArg(randomImageKernel,k++,sizeof(cl_mem),(void*)&seedBuffer); |
| { |
| const float randNormNumerator = 1.0f; |
| const unsigned int randNormDenominator = (unsigned int)(~0UL); |
| clEnv->library->clSetKernelArg(randomImageKernel,k++, |
| sizeof(float),(void*)&randNormNumerator); |
| clEnv->library->clSetKernelArg(randomImageKernel,k++, |
| sizeof(cl_uint),(void*)&randNormDenominator); |
| } |
| |
| |
| global_work_size = numGenerators; |
| local_work_size = 64; |
| |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue,randomImageKernel,1,NULL,&global_work_size, |
| &local_work_size,0,NULL,NULL); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, |
| "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| status = MagickTrue; |
| |
| cleanup: |
| if (randomImageKernel!=NULL) RelinquishOpenCLKernel(clEnv, randomImageKernel); |
| return(status); |
| } |
| |
| static MagickBooleanType ComputeRandomImage(Image* image, |
| ExceptionInfo* exception) |
| { |
| CacheView |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| clStatus; |
| |
| /* Don't release this buffer in this function !!! */ |
| cl_mem |
| randomNumberSeedsBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| cl_mem |
| imageBuffer; |
| |
| MagickBooleanType |
| outputReady, |
| status; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| void |
| *inputPixels; |
| |
| status = MagickFalse; |
| outputReady = MagickFalse; |
| inputPixels = NULL; |
| context = NULL; |
| imageBuffer = NULL; |
| queue = NULL; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| |
| /* Create and initialize OpenCL buffers. */ |
| image_view=AcquireAuthenticCacheView(image,exception); |
| inputPixels=GetCacheViewAuthenticPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning,"UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| randomNumberSeedsBuffer = GetAndLockRandSeedBuffer(clEnv); |
| if (randomNumberSeedsBuffer==NULL) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), |
| ResourceLimitWarning, "Failed to get GPU random number generators.", |
| "'%s'", "."); |
| goto cleanup; |
| } |
| |
| status = LaunchRandomImageKernel(clEnv,queue, |
| imageBuffer, |
| (unsigned int) image->columns, |
| (unsigned int) image->rows, |
| randomNumberSeedsBuffer, |
| GetNumRandGenerators(clEnv), |
| exception); |
| if (status==MagickFalse) |
| { |
| goto cleanup; |
| } |
| |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, imageBuffer, CL_TRUE, CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, imageBuffer, CL_TRUE, 0, length * sizeof(CLPixelPacket), inputPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), ResourceLimitWarning, "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| outputReady=SyncCacheViewAuthenticPixels(image_view,exception); |
| |
| cleanup: |
| OpenCLLogException(__FUNCTION__,__LINE__,exception); |
| |
| image_view=DestroyCacheView(image_view); |
| |
| UnlockRandSeedBuffer(clEnv); |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| return outputReady; |
| } |
| |
| MagickExport MagickBooleanType AccelerateRandomImage(Image *image, |
| ExceptionInfo* exception) |
| { |
| MagickBooleanType |
| status; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, AllChannels) == MagickFalse)) |
| return(MagickFalse); |
| |
| status=ComputeRandomImage(image,exception); |
| return(status); |
| } |
| |
| static Image* ComputeMotionBlurImage(const Image *image, |
| const ChannelType channel,const double *kernel,const size_t width, |
| const OffsetInfo *offset,ExceptionInfo *exception) |
| { |
| CacheView |
| *filteredImage_view, |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_float4 |
| biasPixel; |
| |
| cl_int |
| clStatus; |
| |
| cl_kernel |
| motionBlurKernel; |
| |
| cl_mem |
| filteredImageBuffer, |
| imageBuffer, |
| imageKernelBuffer, |
| offsetBuffer; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| const void |
| *inputPixels; |
| |
| float |
| *kernelBufferPtr; |
| |
| Image |
| *filteredImage; |
| |
| int |
| *offsetBufferPtr; |
| |
| MagickBooleanType |
| outputReady; |
| |
| MagickCLEnv |
| clEnv; |
| |
| PixelInfo |
| bias; |
| |
| MagickSizeType |
| length; |
| |
| size_t |
| global_work_size[2], |
| local_work_size[2]; |
| |
| unsigned int |
| i, |
| imageHeight, |
| imageWidth, |
| matte; |
| |
| void |
| *filteredPixels, |
| *hostPtr; |
| |
| outputReady = MagickFalse; |
| context = NULL; |
| filteredImage = NULL; |
| filteredImage_view = NULL; |
| imageBuffer = NULL; |
| filteredImageBuffer = NULL; |
| imageKernelBuffer = NULL; |
| motionBlurKernel = NULL; |
| queue = NULL; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| |
| /* Create and initialize OpenCL buffers. */ |
| |
| image_view=AcquireVirtualCacheView(image,exception); |
| inputPixels=GetCacheViewVirtualPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (const void *) NULL) |
| { |
| (void) ThrowMagickException(exception,GetMagickModule(),CacheError, |
| "UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| // If the host pointer is aligned to the size of CLPixelPacket, |
| // then use the host buffer directly from the GPU; otherwise, |
| // create a buffer on the GPU and copy the data over |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| // create a CL buffer from image pixel buffer |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, |
| length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), |
| ResourceLimitError, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| |
| filteredImage = CloneImage(image,image->columns,image->rows, |
| MagickTrue,exception); |
| assert(filteredImage != NULL); |
| if (SetImageStorageClass(filteredImage,DirectClass,exception) != MagickTrue) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), |
| ResourceLimitError, "CloneImage failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| filteredImage_view=AcquireAuthenticCacheView(filteredImage,exception); |
| filteredPixels=GetCacheViewAuthenticPixels(filteredImage_view,0,0,filteredImage->columns,filteredImage->rows,exception); |
| if (filteredPixels == (void *) NULL) |
| { |
| (void) ThrowMagickException(exception,GetMagickModule(),CacheError, |
| "UnableToReadPixelCache.","`%s'",filteredImage->filename); |
| goto cleanup; |
| } |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_WRITE_ONLY|CL_MEM_USE_HOST_PTR; |
| hostPtr = filteredPixels; |
| } |
| else |
| { |
| mem_flags = CL_MEM_WRITE_ONLY; |
| hostPtr = NULL; |
| } |
| // create a CL buffer from image pixel buffer |
| length = image->columns * image->rows; |
| filteredImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, |
| length * sizeof(CLPixelPacket), hostPtr, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), |
| ResourceLimitError, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| |
| imageKernelBuffer = clEnv->library->clCreateBuffer(context, |
| CL_MEM_READ_ONLY|CL_MEM_ALLOC_HOST_PTR, width * sizeof(float), NULL, |
| &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), |
| ResourceLimitError, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| kernelBufferPtr = (float*)clEnv->library->clEnqueueMapBuffer(queue, imageKernelBuffer, |
| CL_TRUE, CL_MAP_WRITE, 0, width * sizeof(float), 0, NULL, NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), |
| ResourceLimitError, "clEnv->library->clEnqueueMapBuffer failed.","."); |
| goto cleanup; |
| } |
| for (i = 0; i < width; i++) |
| { |
| kernelBufferPtr[i] = (float) kernel[i]; |
| } |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, imageKernelBuffer, kernelBufferPtr, |
| 0, NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), ModuleFatalError, |
| "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| offsetBuffer = clEnv->library->clCreateBuffer(context, |
| CL_MEM_READ_ONLY|CL_MEM_ALLOC_HOST_PTR, width * sizeof(cl_int2), NULL, |
| &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), |
| ResourceLimitError, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| offsetBufferPtr = (int*)clEnv->library->clEnqueueMapBuffer(queue, offsetBuffer, CL_TRUE, |
| CL_MAP_WRITE, 0, width * sizeof(cl_int2), 0, NULL, NULL, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), |
| ResourceLimitError, "clEnv->library->clEnqueueMapBuffer failed.","."); |
| goto cleanup; |
| } |
| for (i = 0; i < width; i++) |
| { |
| offsetBufferPtr[2*i] = (int)offset[i].x; |
| offsetBufferPtr[2*i+1] = (int)offset[i].y; |
| } |
| clStatus = clEnv->library->clEnqueueUnmapMemObject(queue, offsetBuffer, offsetBufferPtr, 0, |
| NULL, NULL); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), ModuleFatalError, |
| "clEnv->library->clEnqueueUnmapMemObject failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| |
| // get the OpenCL kernel |
| motionBlurKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, |
| "MotionBlur"); |
| if (motionBlurKernel == NULL) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), ModuleFatalError, |
| "AcquireOpenCLKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| // set the kernel arguments |
| i = 0; |
| clStatus=clEnv->library->clSetKernelArg(motionBlurKernel,i++,sizeof(cl_mem), |
| (void *)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(motionBlurKernel,i++,sizeof(cl_mem), |
| (void *)&filteredImageBuffer); |
| imageWidth = (unsigned int) image->columns; |
| imageHeight = (unsigned int) image->rows; |
| clStatus|=clEnv->library->clSetKernelArg(motionBlurKernel,i++,sizeof(unsigned int), |
| &imageWidth); |
| clStatus|=clEnv->library->clSetKernelArg(motionBlurKernel,i++,sizeof(unsigned int), |
| &imageHeight); |
| clStatus|=clEnv->library->clSetKernelArg(motionBlurKernel,i++,sizeof(cl_mem), |
| (void *)&imageKernelBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(motionBlurKernel,i++,sizeof(unsigned int), |
| &width); |
| clStatus|=clEnv->library->clSetKernelArg(motionBlurKernel,i++,sizeof(cl_mem), |
| (void *)&offsetBuffer); |
| |
| GetPixelInfo(image,&bias); |
| biasPixel.s[0] = bias.red; |
| biasPixel.s[1] = bias.green; |
| biasPixel.s[2] = bias.blue; |
| biasPixel.s[3] = bias.alpha; |
| clStatus|=clEnv->library->clSetKernelArg(motionBlurKernel,i++,sizeof(cl_float4), &biasPixel); |
| |
| clStatus|=clEnv->library->clSetKernelArg(motionBlurKernel,i++,sizeof(ChannelType), &channel); |
| matte = (image->alpha_trait == UndefinedPixelTrait)?1:0; |
| clStatus|=clEnv->library->clSetKernelArg(motionBlurKernel,i++,sizeof(unsigned int), &matte); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), ModuleFatalError, |
| "clEnv->library->clSetKernelArg failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| |
| // launch the kernel |
| local_work_size[0] = 16; |
| local_work_size[1] = 16; |
| global_work_size[0] = (size_t)padGlobalWorkgroupSizeToLocalWorkgroupSize( |
| (unsigned int) image->columns,(unsigned int) local_work_size[0]); |
| global_work_size[1] = (size_t)padGlobalWorkgroupSizeToLocalWorkgroupSize( |
| (unsigned int) image->rows,(unsigned int) local_work_size[1]); |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, motionBlurKernel, 2, NULL, |
| global_work_size, local_work_size, 0, NULL, NULL); |
| |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), ModuleFatalError, |
| "clEnv->library->clEnqueueNDRangeKernel failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| clEnv->library->clFlush(queue); |
| |
| if (ALIGNED(filteredPixels,CLPixelPacket)) |
| { |
| length = image->columns * image->rows; |
| clEnv->library->clEnqueueMapBuffer(queue, filteredImageBuffer, CL_TRUE, |
| CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, |
| NULL, &clStatus); |
| } |
| else |
| { |
| length = image->columns * image->rows; |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, filteredImageBuffer, CL_TRUE, 0, |
| length * sizeof(CLPixelPacket), filteredPixels, 0, NULL, NULL); |
| } |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) ThrowMagickException(exception, GetMagickModule(), ModuleFatalError, |
| "Reading output image from CL buffer failed.", "'%s'", "."); |
| goto cleanup; |
| } |
| outputReady=SyncCacheViewAuthenticPixels(filteredImage_view,exception); |
| |
| cleanup: |
| |
| image_view=DestroyCacheView(image_view); |
| if (filteredImage_view != NULL) |
| filteredImage_view=DestroyCacheView(filteredImage_view); |
| |
| if (filteredImageBuffer!=NULL) clEnv->library->clReleaseMemObject(filteredImageBuffer); |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (imageKernelBuffer!=NULL) clEnv->library->clReleaseMemObject(imageKernelBuffer); |
| if (motionBlurKernel!=NULL) RelinquishOpenCLKernel(clEnv, motionBlurKernel); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| if (outputReady == MagickFalse && filteredImage != NULL) |
| filteredImage=DestroyImage(filteredImage); |
| |
| return(filteredImage); |
| } |
| |
| MagickExport Image *AccelerateMotionBlurImage(const Image *image, |
| const ChannelType channel,const double* kernel,const size_t width, |
| const OffsetInfo *offset,ExceptionInfo *exception) |
| { |
| Image |
| *filteredImage; |
| |
| assert(image != NULL); |
| assert(kernel != (double *) NULL); |
| assert(offset != (OffsetInfo *) NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, channel) == MagickFalse)) |
| return NULL; |
| |
| filteredImage=ComputeMotionBlurImage(image, channel, kernel, width, |
| offset, exception); |
| return(filteredImage); |
| } |
| |
| static MagickBooleanType LaunchCompositeKernel(MagickCLEnv clEnv, |
| cl_command_queue queue,cl_mem imageBuffer,const unsigned int inputWidth, |
| const unsigned int inputHeight,const unsigned int matte, |
| const ChannelType channel,const CompositeOperator compose, |
| const cl_mem compositeImageBuffer,const unsigned int compositeWidth, |
| const unsigned int compositeHeight,const float destination_dissolve, |
| const float source_dissolve,ExceptionInfo *magick_unused(exception)) |
| { |
| cl_int |
| clStatus; |
| |
| cl_kernel |
| compositeKernel; |
| |
| int |
| k; |
| |
| size_t |
| global_work_size[2], |
| local_work_size[2]; |
| |
| unsigned int |
| composeOp; |
| |
| magick_unreferenced(exception); |
| |
| compositeKernel = AcquireOpenCLKernel(clEnv, MAGICK_OPENCL_ACCELERATE, |
| "Composite"); |
| |
| k = 0; |
| clStatus=clEnv->library->clSetKernelArg(compositeKernel,k++,sizeof(cl_mem),(void*)&imageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(compositeKernel,k++,sizeof(unsigned int),(void*)&inputWidth); |
| clStatus|=clEnv->library->clSetKernelArg(compositeKernel,k++,sizeof(unsigned int),(void*)&inputHeight); |
| clStatus|=clEnv->library->clSetKernelArg(compositeKernel,k++,sizeof(cl_mem),(void*)&compositeImageBuffer); |
| clStatus|=clEnv->library->clSetKernelArg(compositeKernel,k++,sizeof(unsigned int),(void*)&compositeWidth); |
| clStatus|=clEnv->library->clSetKernelArg(compositeKernel,k++,sizeof(unsigned int),(void*)&compositeHeight); |
| composeOp = (unsigned int)compose; |
| clStatus|=clEnv->library->clSetKernelArg(compositeKernel,k++,sizeof(unsigned int),(void*)&composeOp); |
| clStatus|=clEnv->library->clSetKernelArg(compositeKernel,k++,sizeof(ChannelType),(void*)&channel); |
| clStatus|=clEnv->library->clSetKernelArg(compositeKernel,k++,sizeof(unsigned int),(void*)&matte); |
| clStatus|=clEnv->library->clSetKernelArg(compositeKernel,k++,sizeof(float),(void*)&destination_dissolve); |
| clStatus|=clEnv->library->clSetKernelArg(compositeKernel,k++,sizeof(float),(void*)&source_dissolve); |
| |
| if (clStatus!=CL_SUCCESS) |
| return MagickFalse; |
| |
| local_work_size[0] = 64; |
| local_work_size[1] = 1; |
| |
| global_work_size[0] = padGlobalWorkgroupSizeToLocalWorkgroupSize(inputWidth, |
| (unsigned int) local_work_size[0]); |
| global_work_size[1] = inputHeight; |
| clStatus = clEnv->library->clEnqueueNDRangeKernel(queue, compositeKernel, 2, NULL, |
| global_work_size, local_work_size, 0, NULL, NULL); |
| |
| |
| RelinquishOpenCLKernel(clEnv, compositeKernel); |
| |
| return((clStatus==CL_SUCCESS) ? MagickTrue : MagickFalse); |
| } |
| |
| static MagickBooleanType ComputeCompositeImage(Image *image, |
| const ChannelType channel,const CompositeOperator compose, |
| const Image *compositeImage,const ssize_t magick_unused(x_offset), |
| const ssize_t magick_unused(y_offset),const float destination_dissolve, |
| const float source_dissolve,ExceptionInfo *exception) |
| { |
| CacheView |
| *image_view; |
| |
| cl_command_queue |
| queue; |
| |
| cl_context |
| context; |
| |
| cl_int |
| clStatus; |
| |
| cl_mem_flags |
| mem_flags; |
| |
| cl_mem |
| compositeImageBuffer, |
| imageBuffer; |
| |
| const void |
| *composePixels; |
| |
| MagickBooleanType |
| outputReady, |
| status; |
| |
| MagickCLEnv |
| clEnv; |
| |
| MagickSizeType |
| length; |
| |
| void |
| *inputPixels; |
| |
| magick_unreferenced(x_offset); |
| magick_unreferenced(y_offset); |
| |
| status = MagickFalse; |
| outputReady = MagickFalse; |
| composePixels = NULL; |
| imageBuffer = NULL; |
| compositeImageBuffer = NULL; |
| |
| clEnv = GetDefaultOpenCLEnv(); |
| context = GetOpenCLContext(clEnv); |
| queue = AcquireOpenCLCommandQueue(clEnv); |
| |
| /* Create and initialize OpenCL buffers. */ |
| image_view=AcquireAuthenticCacheView(image,exception); |
| inputPixels=GetCacheViewAuthenticPixels(image_view,0,0,image->columns,image->rows,exception); |
| if (inputPixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, |
| "UnableToReadPixelCache.","`%s'",image->filename); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_WRITE|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = image->columns * image->rows; |
| imageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, |
| length * sizeof(CLPixelPacket), (void*)inputPixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), |
| ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| |
| /* Create and initialize OpenCL buffers. */ |
| composePixels = AcquirePixelCachePixels(compositeImage, &length, exception); |
| if (composePixels == (void *) NULL) |
| { |
| (void) OpenCLThrowMagickException(exception,GetMagickModule(),CacheWarning, |
| "UnableToReadPixelCache.","`%s'",compositeImage->filename); |
| goto cleanup; |
| } |
| |
| /* If the host pointer is aligned to the size of CLPixelPacket, |
| then use the host buffer directly from the GPU; otherwise, |
| create a buffer on the GPU and copy the data over */ |
| if (ALIGNED(composePixels,CLPixelPacket)) |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_USE_HOST_PTR; |
| } |
| else |
| { |
| mem_flags = CL_MEM_READ_ONLY|CL_MEM_COPY_HOST_PTR; |
| } |
| /* create a CL buffer from image pixel buffer */ |
| length = compositeImage->columns * compositeImage->rows; |
| compositeImageBuffer = clEnv->library->clCreateBuffer(context, mem_flags, |
| length * sizeof(CLPixelPacket), (void*)composePixels, &clStatus); |
| if (clStatus != CL_SUCCESS) |
| { |
| (void) OpenCLThrowMagickException(exception, GetMagickModule(), |
| ResourceLimitWarning, "clEnv->library->clCreateBuffer failed.","."); |
| goto cleanup; |
| } |
| |
| status = LaunchCompositeKernel(clEnv,queue,imageBuffer, |
| (unsigned int) image->columns, |
| (unsigned int) image->rows, |
| (unsigned int) (image->alpha_trait == UndefinedPixelTrait) ? 1 : 0, |
| channel, compose, compositeImageBuffer, |
| (unsigned int) compositeImage->columns, |
| (unsigned int) compositeImage->rows, |
| destination_dissolve,source_dissolve, |
| exception); |
| |
| if (status==MagickFalse) |
| goto cleanup; |
| |
| length = image->columns * image->rows; |
| if (ALIGNED(inputPixels,CLPixelPacket)) |
| { |
| clEnv->library->clEnqueueMapBuffer(queue, imageBuffer, CL_TRUE, |
| CL_MAP_READ|CL_MAP_WRITE, 0, length * sizeof(CLPixelPacket), 0, NULL, |
| NULL, &clStatus); |
| } |
| else |
| { |
| clStatus = clEnv->library->clEnqueueReadBuffer(queue, imageBuffer, CL_TRUE, 0, |
| length * sizeof(CLPixelPacket), inputPixels, 0, NULL, NULL); |
| } |
| if (clStatus==CL_SUCCESS) |
| outputReady=SyncCacheViewAuthenticPixels(image_view,exception); |
| |
| cleanup: |
| |
| image_view=DestroyCacheView(image_view); |
| if (imageBuffer!=NULL) clEnv->library->clReleaseMemObject(imageBuffer); |
| if (compositeImageBuffer!=NULL) clEnv->library->clReleaseMemObject(compositeImageBuffer); |
| if (queue != NULL) RelinquishOpenCLCommandQueue(clEnv, queue); |
| |
| return(outputReady); |
| } |
| |
| MagickExport MagickBooleanType AccelerateCompositeImage(Image *image, |
| const ChannelType channel,const CompositeOperator compose, |
| const Image *composite,const ssize_t x_offset,const ssize_t y_offset, |
| const float destination_dissolve,const float source_dissolve, |
| ExceptionInfo *exception) |
| { |
| MagickBooleanType |
| status; |
| |
| assert(image != NULL); |
| assert(exception != (ExceptionInfo *) NULL); |
| |
| if ((checkOpenCLEnvironment(exception) == MagickFalse) || |
| (checkAccelerateCondition(image, channel) == MagickFalse)) |
| return(MagickFalse); |
| |
| /* only support zero offset and |
| images with the size for now */ |
| if (x_offset!=0 |
| || y_offset!=0 |
| || image->columns!=composite->columns |
| || image->rows!=composite->rows) |
| return MagickFalse; |
| |
| switch(compose) { |
| case ColorDodgeCompositeOp: |
| case BlendCompositeOp: |
| break; |
| default: |
| // unsupported compose operator, quit |
| return MagickFalse; |
| }; |
| |
| status = ComputeCompositeImage(image,channel,compose,composite, |
| x_offset,y_offset,destination_dissolve,source_dissolve,exception); |
| |
| return(status); |
| } |
| |
| #else /* MAGICKCORE_OPENCL_SUPPORT */ |
| |
| MagickExport Image *AccelerateConvolveImageChannel( |
| const Image *magick_unused(image),const ChannelType magick_unused(channel), |
| const KernelInfo *magick_unused(kernel), |
| ExceptionInfo *magick_unused(exception)) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(channel); |
| magick_unreferenced(kernel); |
| magick_unreferenced(exception); |
| |
| return NULL; |
| } |
| |
| MagickExport MagickBooleanType AccelerateFunctionImage( |
| Image *magick_unused(image),const ChannelType magick_unused(channel), |
| const MagickFunction magick_unused(function), |
| const size_t magick_unused(number_parameters), |
| const double *magick_unused(parameters), |
| ExceptionInfo *magick_unused(exception)) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(channel); |
| magick_unreferenced(function); |
| magick_unreferenced(number_parameters); |
| magick_unreferenced(parameters); |
| magick_unreferenced(exception); |
| |
| return MagickFalse; |
| } |
| |
| MagickExport Image *AccelerateBlurImage(const Image *magick_unused(image), |
| const ChannelType magick_unused(channel),const double magick_unused(radius), |
| const double magick_unused(sigma),ExceptionInfo *magick_unused(exception)) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(channel); |
| magick_unreferenced(radius); |
| magick_unreferenced(sigma); |
| magick_unreferenced(exception); |
| |
| return NULL; |
| } |
| |
| MagickExport Image *AccelerateLocalContrastImage( |
| const Image *magick_unused(image),const double magick_unused(radius), |
| const double magick_unused(strength),ExceptionInfo *magick_unused(exception)) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(radius); |
| magick_unreferenced(strength); |
| magick_unreferenced(exception); |
| |
| return NULL; |
| } |
| |
| MagickExport Image *AccelerateRotationalBlurImage( |
| const Image *magick_unused(image),const ChannelType magick_unused(channel), |
| const double magick_unused(angle),ExceptionInfo *magick_unused(exception)) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(channel); |
| magick_unreferenced(angle); |
| magick_unreferenced(exception); |
| |
| return NULL; |
| } |
| |
| |
| MagickExport Image *AccelerateUnsharpMaskImage( |
| const Image *magick_unused(image),const ChannelType magick_unused(channel), |
| const double magick_unused(radius),const double magick_unused(sigma), |
| const double magick_unused(gain),const double magick_unused(threshold), |
| ExceptionInfo *magick_unused(exception)) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(channel); |
| magick_unreferenced(radius); |
| magick_unreferenced(sigma); |
| magick_unreferenced(gain); |
| magick_unreferenced(threshold); |
| magick_unreferenced(exception); |
| |
| return NULL; |
| } |
| |
| MagickExport |
| MagickBooleanType AccelerateCompositeImage(Image *image, |
| const ChannelType channel,const CompositeOperator compose, |
| const Image *composite,const ssize_t x_offset,const ssize_t y_offset, |
| const float destination_dissolve,const float source_dissolve, |
| ExceptionInfo *exception) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(channel); |
| magick_unreferenced(compose); |
| magick_unreferenced(composite); |
| magick_unreferenced(x_offset); |
| magick_unreferenced(y_offset); |
| magick_unreferenced(destination_dissolve); |
| magick_unreferenced(source_dissolve); |
| magick_unreferenced(exception); |
| |
| return MagickFalse; |
| } |
| |
| |
| MagickExport MagickBooleanType AccelerateContrastImage( |
| Image* magick_unused(image),const MagickBooleanType magick_unused(sharpen), |
| ExceptionInfo* magick_unused(exception)) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(sharpen); |
| magick_unreferenced(exception); |
| |
| return MagickFalse; |
| } |
| |
| MagickExport MagickBooleanType AccelerateContrastStretchImageChannel( |
| Image * image, const ChannelType channel, const double black_point, const double white_point, |
| ExceptionInfo* magick_unused(exception)) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(channel); |
| magick_unreferenced(black_point); |
| magick_unreferenced(white_point); |
| magick_unreferenced(exception); |
| |
| return MagickFalse; |
| } |
| |
| MagickExport MagickBooleanType AccelerateEqualizeImage( |
| Image* magick_unused(image), const ChannelType magick_unused(channel), |
| ExceptionInfo* magick_unused(exception)) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(channel); |
| magick_unreferenced(exception); |
| |
| return MagickFalse; |
| } |
| |
| MagickExport Image *AccelerateDespeckleImage(const Image* magick_unused(image), |
| ExceptionInfo* magick_unused(exception)) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(exception); |
| |
| return NULL; |
| } |
| |
| MagickExport Image *AccelerateResizeImage(const Image* magick_unused(image), |
| const size_t magick_unused(resizedColumns), |
| const size_t magick_unused(resizedRows), |
| const ResizeFilter* magick_unused(resizeFilter), |
| ExceptionInfo *magick_unused(exception)) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(resizedColumns); |
| magick_unreferenced(resizedRows); |
| magick_unreferenced(resizeFilter); |
| magick_unreferenced(exception); |
| |
| return NULL; |
| } |
| |
| MagickExport |
| MagickBooleanType AccelerateModulateImage( |
| Image* image, double percent_brightness, double percent_hue, |
| double percent_saturation, ColorspaceType colorspace, ExceptionInfo* exception) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(percent_brightness); |
| magick_unreferenced(percent_hue); |
| magick_unreferenced(percent_saturation); |
| magick_unreferenced(colorspace); |
| magick_unreferenced(exception); |
| return(MagickFalse); |
| } |
| |
| MagickExport |
| MagickBooleanType AccelerateGrayscaleImage( |
| Image* image, const PixelIntensityMethod method, ExceptionInfo* exception) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(method); |
| magick_unreferenced(exception); |
| return(MagickFalse); |
| } |
| |
| MagickExport Image *AccelerateAddNoiseImage(const Image *image, |
| const ChannelType channel, const NoiseType noise_type,ExceptionInfo *exception) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(channel); |
| magick_unreferenced(noise_type); |
| magick_unreferenced(exception); |
| return NULL; |
| } |
| |
| |
| MagickExport MagickBooleanType AccelerateRandomImage(Image* image, ExceptionInfo* exception) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(exception); |
| return MagickFalse; |
| } |
| |
| MagickExport |
| Image* AccelerateMotionBlurImage(const Image *image, const ChannelType channel, |
| const double* kernel, const size_t width, |
| const OffsetInfo *offset, |
| ExceptionInfo *exception) |
| { |
| magick_unreferenced(image); |
| magick_unreferenced(channel); |
| magick_unreferenced(kernel); |
| magick_unreferenced(width); |
| magick_unreferenced(offset); |
| magick_unreferenced(exception); |
| return NULL; |
| } |
| |
| #endif /* MAGICKCORE_OPENCL_SUPPORT */ |
