| # The ModelAccuracyTool-Armnn |
| |
| The `ModelAccuracyTool-Armnn` is a program for measuring the Top 5 accuracy results of a model against an image dataset. |
| |
| Prerequisites: |
| 1. The model is in .armnn format model file. The `ArmnnConverter` can be used to convert a model to this format. |
| |
| Build option: |
| To build ModelAccuracyTool, pass the following options to Cmake: |
| * -DFLATC_DIR=/path/to/flatbuffers/x86build/ |
| * -DBUILD_ACCURACY_TOOL=1 |
| * -DBUILD_ARMNN_SERIALIZER=1 |
| |
| |Cmd:||| |
| | ---|---|---| |
| | -h | --help | Display help messages | |
| | -m | --model-path | Path to armnn format model file | |
| | -f | --model-format | The model format. Supported values: tflite | |
| | -i | --input-name | Identifier of the input tensors in the network separated by comma | |
| | -o | --output-name | Identifier of the output tensors in the network separated by comma | |
| | -d | --data-dir | Path to directory containing the ImageNet test data | |
| | -p | --model-output-labels | Path to model output labels file. |
| | -v | --validation-labels-path | Path to ImageNet Validation Label file |
| | -l | --data-layout ] | Data layout. Supported value: NHWC, NCHW. Default: NHWC |
| | -c | --compute | Which device to run layers on by default. Possible choices: CpuRef, CpuAcc, GpuAcc. Default: CpuAcc, CpuRef | |
| | -r | --validation-range | The range of the images to be evaluated. Specified in the form <begin index>:<end index>. The index starts at 1 and the range is inclusive. By default the evaluation will be performed on all images. | |
| | -e | --excludelist-path | Path to a excludelist file where each line denotes the index of an image to be excluded from evaluation. | |
| |
| Example usage: <br> |
| <code>./ModelAccuracyTool -m /path/to/model/model.armnn -f tflite -i input -o output -d /path/to/test/directory/ -p /path/to/model-output-labels -v /path/to/file/val.txt -c CpuRef -r 1:100</code> |
