MNN/demo/exec
如幻 732ba68b19 beta 0.2.0.4
- bug fix for quantization tool
    - bug fix/performance update for thread pool
    - bug fix for converters
    - tutorial/doc update
    - more op support
2019-07-19 17:36:12 +08:00
..
CMakeLists.txt beta 0.2.0.3 2019-07-11 13:56:52 +08:00
PoseNames.hpp beta 0.2.0.3 2019-07-11 13:56:52 +08:00
README.md beta 0.2.0.3 2019-07-11 13:56:52 +08:00
multiPose.cpp beta 0.2.0.4 2019-07-19 17:36:12 +08:00
pictureRecognition.cpp beta 0.2.0.3 2019-07-11 13:56:52 +08:00
pictureRotate.cpp beta 0.2.0.0 2019-06-17 20:10:35 +08:00
segment.cpp beta 0.2.0.3 2019-07-11 13:56:52 +08:00

README.md

[TOC]

Build this Demo on Linux or Mac

Use Top CMakeLists.txt to construct demo like this:

cd path/to/MNN
mkdir build && cd build
cmake -DMNN_BUILD_DEMO=ON ..
make -j8

Build this Demo on Windows

Use Top CMakeLists.txt to construct demo like this:

cd path/to/MNN
mkdir build
cd build
cmake -G "NMake Makefiles" -DCMAKE_BUILD_TYPE=Release -DMNN_BUILD_DEMO=ON ..
nmake

MultiPose

  1. Download pose model
  2. Convert tensorflow model to MNN model
  3. run multipose like this:
./multiPose.out model.mnn input.jpg pose.png

Segment

Using deeplabv3 segment model downloaded from: https://storage.googleapis.com/download.tensorflow.org/models/tflite/gpu/deeplabv3_257_mv_gpu.tflite

./segment.out model.mnn input.jpg result.png