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PoseNames.hpp | H A D | 11-Jun-2021 | 1.2 KiB | 26 | 15 | |
README.md | H A D | 11-Jun-2021 | 959 | 40 | 31 | |
expressDemo.cpp | H A D | 11-Jun-2021 | 2.9 KiB | 107 | 92 | |
multiPose.cpp | H A D | 11-Jun-2021 | 16.3 KiB | 415 | 322 | |
nluDemo.cpp | H A D | 11-Jun-2021 | 4.1 KiB | 121 | 97 | |
pictureRecognition.cpp | H A D | 11-Jun-2021 | 5.7 KiB | 149 | 127 | |
pictureRecognition_module.cpp | H A D | 11-Jun-2021 | 3.1 KiB | 86 | 66 | |
pictureRotate.cpp | H A D | 11-Jun-2021 | 1.7 KiB | 59 | 45 | |
rasterDemo.cpp | H A D | 11-Jun-2021 | 9.4 KiB | 253 | 182 | |
segment.cpp | H A D | 11-Jun-2021 | 4.3 KiB | 131 | 100 | |
transformerDemo.cpp | H A D | 11-Jun-2021 | 2.3 KiB | 69 | 56 |
README.md
1[TOC] 2 3# Build this Demo on Linux or Mac 4 5Use [Top CMakeLists.txt](../../CMakeLists.txt) to construct demo like this: 6 7```bash 8cd path/to/MNN 9mkdir build && cd build 10cmake -DMNN_BUILD_DEMO=ON .. 11make -j8 12``` 13 14# Build this Demo on Windows 15 16Use [Top CMakeLists.txt](../../CMakeLists.txt) to construct demo like this: 17```powershell 18cd path/to/MNN 19mkdir build 20cd build 21cmake -G "NMake Makefiles" -DCMAKE_BUILD_TYPE=Release -DMNN_BUILD_DEMO=ON .. 22nmake 23``` 24 25# MultiPose 26 271. Download [pose model](https://github.com/czy2014hust/posenet-python/raw/master/models/model-mobilenet_v1_075.pb) 282. [Convert](../../tools/converter/README.md) tensorflow model to MNN model 293. run multipose like this: 30```bash 31./multiPose.out model.mnn input.jpg pose.png 32``` 33 34# Segment 35Using deeplabv3 segment model downloaded from: 36https://storage.googleapis.com/download.tensorflow.org/models/tflite/gpu/deeplabv3_257_mv_gpu.tflite 37```bash 38./segment.out model.mnn input.jpg result.png 39``` 40