| Copyright 2017 The Android Open Source Project |
| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| 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. |
| ------------------------------------------------------------------ |
| |
| This directory contains models data for the Android Neural Networks API benchmarks. |
| |
| Included models: |
| |
| ------------------------------------------------------------------ |
| - mobilenet_v1_(0.25_128|0.5_160|0.75_192|1.0_224).tflite |
| MobileNet tensorflow lite model based on: |
| "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" |
| https://arxiv.org/abs/1704.04861 |
| Apache License, Version 2.0 |
| |
| Downloaded from |
| http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_${variant}.tgz |
| on Oct 5 2018 and converted using ToT toco. |
| Golden output generated with ToT tensorflow (Linux, CPU). |
| |
| ------------------------------------------------------------------ |
| - mobilenet_v1_(0.25_128|0.5_160|0.75_192|1.0_224)_quant.tflite |
| 8bit quantized MobileNet tensorflow lite model based on: |
| "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" |
| https://arxiv.org/abs/1704.04861 |
| Apache License, Version 2.0 |
| |
| Downloaded from |
| http://download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_${variant}_quant.tgz |
| on Oct 5 2018. |
| Golden output generated with ToT tflite (Linux, CPU). |
| |
| ------------------------------------------------------------------ |
| - mobilenet_v2_(0.35_128|0.5_160|0.75_192|1.0_224).tflite |
| MobileNet v2 tensorflow lite model based on: |
| "MobileNetV2: Inverted Residuals and Linear Bottlenecks" |
| https://arxiv.org/abs/1801.04381 |
| Apache License, Version 2.0 |
| |
| Downloaded from |
| https://storage.googleapis.com/mobilenet_v2/checkpoints/mobilenet_v2_${variant}.tgz |
| on Oct 16 2018 and converted using ToT toco. |
| Golden output generated with ToT tensorflow (Linux, CPU). |
| |
| ------------------------------------------------------------------ |
| - mobilenet_v2_1.0_224_quant.tflite |
| 8bit quantized MobileNet v2 tensorflow lite model based on: |
| "MobileNetV2: Inverted Residuals and Linear Bottlenecks" |
| https://arxiv.org/abs/1801.04381 |
| Apache License, Version 2.0 |
| |
| Downloaded from |
| http://download.tensorflow.org/models/tflite_11_05_08/mobilenet_v2_1.0_224_quant.tgz |
| on Oct 30 2018. |
| Golden output generated with ToT tflite (Linux, CPU). |
| |
| ------------------------------------------------------------------ |
| - ssd_mobilenet_v1_coco_float.tflite |
| Float version of MobileNet SSD tensorflow model based on: |
| "Speed/accuracy trade-offs for modern convolutional object detectors." |
| https://arxiv.org/abs/1611.10012 |
| Apache License, Version 2.0 |
| |
| Generated from |
| http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_coco_2018_01_28.tar.gz |
| on Sep 24 2018. |
| See also: https://github.com/tensorflow/models/tree/master/research/object_detection |
| Golden output generated with ToT tflite (Linux, x86_64 CPU). |
| |
| ------------------------------------------------------------------ |
| - ssd_mobilenet_v1_coco_quantized.tflite |
| 8bit quantized MobileNet SSD tensorflow lite model based on: |
| "Speed/accuracy trade-offs for modern convolutional object detectors." |
| https://arxiv.org/abs/1611.10012 |
| Apache License, Version 2.0 |
| |
| Generated from |
| http://download.tensorflow.org/models/object_detection/ssd_mobilenet_v1_quantized_300x300_coco14_sync_2018_07_18.tar.gz |
| on Sep 19 2018. |
| See also: https://github.com/tensorflow/models/tree/master/research/object_detection |
| Golden output generated with ToT tflite (Linux, CPU). |
| |
| ------------------------------------------------------------------ |
| - tts_float.tflite |
| TTS tensorflow lite model based on: |
| "Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric Speech Synthesizers for |
| Mobile Devices" |
| https://ai.google/research/pubs/pub45379 |
| Apache License, Version 2.0 |
| |
| Note that the tensorflow lite model is the acoustic model in the paper. It is used because it is |
| much heavier than the duration model. |
| ------------------------------------------------------------------ |
| - asr_float.tflite |
| ASR tensorflow lite model based on the ASR acoustic model in: |
| "Personalized Speech recognition on mobile devices" |
| https://arxiv.org/abs/1603.03185 |
| Apache License, Version 2.0 |
| |
| ------------------------------------------------------------------ |
| - mobilenet_v3-(small_224_0.75_float|small_224_1.0_float|small_224_1.0_uint8|small-minimalistic_224_1.0_float|large_224_0.75_float|large_224_1.0_float|large_224_1.0_uint8|large-minimalistic_224_1.0_float|large-minimalistic_224_1.0_uint8).tflite |
| MobileNet TensorFlow Lite models based on |
| "Searching for MobileNetV3" |
| https://arxiv.org/abs/1905.02244 |
| Apache License, Version 2.0 |
| |
| Downloaded from |
| https://storage.googleapis.com/mobilenet_v3/checkpoints/v3-${variant}.tgz |
| on Jun 30 2020. |
| See also: https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet |
| Golden output generated with ToT TensorFlow (Linux, CPU). |
| |
| ------------------------------------------------------------------ |
| Input files: |
| ------------------------------------------------------------------ |
| - ssd_mobilenet_v1_coco_*/tarmac.input |
| Photo of airport tarmac by [email protected], Apache License, Version 2.0 |
| - cup_(128|160|192|224).input |
| Photo of cup by [email protected], Apache License, Version 2.0 |
| - banana_(128|160|192|224).input |
| Photo of banana by [email protected], Apache License, Version 2.0 |
| - tts_float/arctic_*.input |
| Linguistic features and durations generated from text sentences from the CMU Arctic set |
| (http://www.festvox.org/cmu_arctic/cmuarctic.data), Apache License, Version 2.0 |
| - asr_float/*.input |
| Acoustic features generated from audio files from the LibriSpeech dataset |
| (http://www.openslr.org/12/), Creative Commons Attribution 4.0 International License |
| ------------------------------------------------------------------ |
| |
| TODO(pszczepaniak): Provide at least 5 inputs outputs for each model |
| |
