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Alexander Alekhin
bdf51c3a2b
|
7 years ago | |
|---|---|---|
| .. | ||
| cmake | 8 years ago | |
| include/opencv2 | 8 years ago | |
| samples | 8 years ago | |
| src | 8 years ago | |
| CMakeLists.txt | 7 years ago | |
| README.md | 8 years ago | |
README.md
Modern Deep Learning Module
The module is wrapper to tiny-dnn, a header only, dependency-free deep learning framework in C++11.
Installation
Required Dependencies
- System under Unix or Windows
- C++11 compiler
- tiny-dnn headers
- protoc compiler (part of the protobuf library)
How to install tiny-dnn? CMake will try to download a certain version of tiny-dnn which was tested to build with OpenCV. If the latest version is needed, location of the tiny-dnn folder can be specified manually:
- Download tiny-dnn project somewhere in your system
cd /opt
git clone https://github.com/tiny-dnn/tiny-dnn.git
- Run your OpenCV CMake pointing to your tiny-dnn headers location
cd /opt/opencv/build
cmake -DTINYDNN_ROOT=/opt/tiny-dnn ..
make -j4
Extra
You can enable some optimizations just for tiny-dnn backend
cmake -DTINYDNN_USE_SSE=ON ..
cmake -DTINYDNN_USE_AVX=ON ..
Use third-party multithreading libs: TBB or OMP.
cmake -DTINYDNN_USE_TBB=ON .. // then disable OMP
cmake -DTINYDNN_USE_OMP=ON .. // then disable TBB
NNPACK: Acceleration package for neural networks on multi-core CPUs.
Check project site for installation: https://github.com/Maratyszcza/NNPACK
cmake -DTINYDNN_USE_NNPACK=ON .. // not supported yet for Caffe loader
See detailed module API documentation in http://docs.opencv.org/trunk/d1/df7/group__dnn__modern.html