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person_reid
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network for person re-identification
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# person re-identification Simple python model for person re-identification. Use as follows: ```python import cv2 from reid import reid im1 = cv2.cvtColor(cv2.imread('/path/to/file1.png'), cv2.COLOR_BGR2RGB) im2 = cv2.cvtColor(cv2.imread('/path/to/file2.png'), cv2.COLOR_BGR2RGB) # im1 / im2 can either be images or lists of images. In case of lists # prediction is done item-wise model = reid.ReId() score = model.predict(im1, im2) ``` The model will give a score below 0.5 if it believes the two persons are not the same and a value larger than 0.5 if it thinks it got the same people. Below are some sample pairs of images the model has never seen before (thx [Joao](https://github.com/jvmartins)):  ## Install This library was developed using Python 3.6, numpy, Keras 2.1.3. and tensorflow 1.8 so make sure you have them installed. Furthermore, to manage the datasets and to provide some utilities I use [pak](https://github.com/jutanke/pak) which you can install as follows: ```bash pip install git+https://github.com/jutanke/pak.git ``` Last but not least, [OpenCV3](https://github.com/opencv/opencv) is used for image manipulation etc. so you should install that one as well. Usually, I compile it from source like so: ```bash git clone https://github.com/opencv/opencv.git cd opencv && git checkout 3.4.0 mkdir build && cd build cmake -DBUILD_opencv_java=OFF \ -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DCMAKE_BUILD_TYPE=RELEASE \ -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())") .. make -j4 make install ``` but there seems to be a package for anaconda that you might install like: ```bash conda install -c menpo opencv3 ``` (I have not tried this one though). After you have covered all prerequisite you can install this library as follows: ```bash pip install git+https://github.com/jutanke/person_reid.git ``` ## Model The model is a quite simple Siamese Network using [DenseNet](https://arxiv.org/pdf/1608.06993.pdf) as feature extractor.  Below the training and validation accuracy is being reported: 
