Difference between revisions of "Feeding Tensorflow from GPU"
From ElphelWiki
(→Setup) |
(→Setup) |
||
Line 30: | Line 30: | ||
tar xzvf opencv_contrib-3.4.9.tar.gz | tar xzvf opencv_contrib-3.4.9.tar.gz | ||
− | '''# | + | '''# Build & update cmake''' |
sudo apt install libssl-dev | sudo apt install libssl-dev | ||
sudo apt install qt4-default | sudo apt install qt4-default | ||
Line 41: | Line 41: | ||
cmake-gui -version | cmake-gui -version | ||
− | '''# | + | '''# Install bazel''' |
sudo dpkg -i bazel_0.25.2-linux-x86_64.deb | sudo dpkg -i bazel_0.25.2-linux-x86_64.deb | ||
bazel version | bazel version | ||
− | '''# | + | '''# Build TF''' |
cd ~/git/tensorflow-1.15.0/ | cd ~/git/tensorflow-1.15.0/ | ||
tensorflow/contrib/makefile/download_dependencies.sh | tensorflow/contrib/makefile/download_dependencies.sh |
Revision as of 17:20, 14 January 2020
About
Reference guides:
- Supercharging Object Detection in Video: from Glacial to Lightning Speed
- Setup
- First App
- Optimizing Decoding and Graph Feeding
Target projects:
- tensorflow-object-detection-cpp - contains a sample model, labels and a test video
- fast_od - contains feeding Tensorflow from GPU
Setup
Kubuntu 18.04:
mkdir -p ~/git/tf_cv_cu cd ~/git/tf_cv_cu # Download section git clone https://github.com/fierval/tensorflow-object-detection-cpp.git git clone https://github.com/fierval/fast_od.git wget https://github.com/Kitware/CMake/releases/download/v3.16.2/cmake-3.16.2.tar.gz wget https://github.com/bazelbuild/bazel/releases/download/0.25.2/bazel_0.25.2-linux-x86_64.deb wget https://github.com/tensorflow/tensorflow/archive/v1.15.0.tar.gz -O tensorflow-1.15.0.tar.gz wget https://github.com/opencv/opencv/archive/3.4.9.tar.gz -O opencv-3.4.9.tar.gz wget https://github.com/opencv/opencv_contrib/archive/3.4.9.tar.gz -O opencv_contrib-3.4.9.tar.gz # Unpack archives tar xzvf cmake-3.16.2.tar.gz tar xzvf tensorflow-1.15.0.tar.gz tar xzvf opencv-3.4.9.tar.gz tar xzvf opencv_contrib-3.4.9.tar.gz # Build & update cmake sudo apt install libssl-dev sudo apt install qt4-default cd cmake-3.16.2 ./bootstrap -qt-gui make -j8 sudo make install cmake -version cmake-gui -version # Install bazel sudo dpkg -i bazel_0.25.2-linux-x86_64.deb bazel version # Build TF cd ~/git/tensorflow-1.15.0/ tensorflow/contrib/makefile/download_dependencies.sh ./configure # pick all defaults except select yes for CUDA support bazel build //tensorflow:libtensorflow_cc.so