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NadaChatti/VesselSeg-Pytorch-Semi-supervised

 
 

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Preparation

Installing pip and nvidia-cuda-toolkit

sudo apt install python3-pip
sudo apt install nvidia-cuda-toolkit

Installing necessary libraries

pip3 install opencv-python
pip3 install tqdm
pip3 install tensorboardx
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
pip3 install matplotlib
pip3 install scikit-image
pip3 install medpy
pip3 install h5py

Training and Testing on DRIVE dataset

<!-- see code/parameters.py or run --help for arguments. -->
python train_model_mynet.py
python test_model_mynet.py

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a simple and easy to follow pytorch implementation of U-net for retina vessel segmentation

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