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Installing OpenCV 3.2 to Anaconda Environment with ffmpeg Support

Sometimes, It is really a mess to try installing OpenCV to your system. Nevertheless, it is really great library for any case of vision and you are obliged to use it. (No complain, just C++).

I try to list my commands here in a sequence  and hope it will work for you too.

Install dependencies


apt install gcc g++ git libjpeg-dev libpng-dev libtiff5-dev libjasper-dev libavcodec-dev libavformat-dev libswscale-dev pkg-config cmake libgtk2.0-dev libeigen3-dev libtheora-dev libvorbis-dev libxvidcore-dev libx264-dev sphinx-common libtbb-dev yasm libfaac-dev libopencore-amrnb-dev libopencore-amrwb-dev libopenexr-dev libgstreamer-plugins-base1.0-dev libavcodec-dev libavutil-dev libavfilter-dev libavformat-dev libavresample-dev

conda install libgcc

Download OpenCV


//First, go to your folder to hosting installation
wget https://github.com/Itseez/opencv/archive/3.2.0.zip

unzip 3.2.0.zip
cd opencv-3.2.0

mkdir build
cd build

Cmake and Setup Opencv

This cmake command targets python3.x and your target virtual environment. Therefore, before running it activate your environment. Do not forget to check flags depending on your case.


cmake -DWITH_CUDA=OFF -DBUILD_TIFF=ON -DBUILD_opencv_java=OFF -DENABLE_AVX=ON -DWITH_OPENGL=ON -DWITH_OPENCL=ON -DWITH_IPP=ON -DWITH_TBB=ON -DWITH_EIGEN=ON -DWITH_V4L=ON -DWITH_VTK=OFF -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DCMAKE_BUILD_TYPE=RELEASE -DBUILD_opencv_python2=OFF -DCMAKE_INSTALL_PREFIX=$(python3 -c "import sys; print(sys.prefix)") -DPYTHON3_EXECUTABLE=$(which python3) -DPYTHON3_INCLUDE_DIR=$(python3 -c "from distutils.sysconfig import get_python_inc; print(get_python_inc())") -DPYTHON3_PACKAGES_PATH=$(python3 -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())") -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D INSTALL_PYTHON_EXAMPLES=ON -D INSTALL_C_EXAMPLES=OFF -D PYTHON_EXECUTABLE=~/miniconda3/envs/dl/bin/python -D BUILD_EXAMPLES=ON ..

make -j 4

sudo make install

Then check your installation on Python


import cv2

print(cv2.__version__) # should output opencv-3.2.0

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Some CNN visualization tools and techniques

Deep Visualization Toolbox

Github: https://github.com/yosinski/deep-visualization-toolbox

Understanding Image Representations by Inverting Them

Paper: https://arxiv.org/pdf/1412.0035v1.pdf

Learning FRAME Models Using CNN filters

Project page:  http://www.stat.ucla.edu/~yang.lu/project/deepFrame/main.html

Convergent Learning: Do different neural networks learn the same representations?

Github: https://github.com/yixuanli/convergent_learning

Torch-visbox

https://github.com/Aysegul/torch-visbox

Plot caffe models online

http://ethereon.github.io/netscope/#/editor

Grad-CAM: Gradient-weighted Class Activation Mapping

https://github.com/ramprs/grad-cam/

Quiver: Interactive Feature Visualization for Keras

https://github.com/jakebian/quiver

CS231 Stanford notes on Visualization

http://cs231n.github.io/understanding-cnn/

 

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