Simple implementation of U-Net network for multi-class classification
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
sh Miniconda3-latest-Linux-x86_64.sh
conda create --name unet python==3.9
conda activate unet
pip install -r requirements.txt
The primary objective of the repository is to develop a U-Net model from the paper titled U-Net: Convolutional Networks for Biomedical Image Segmentation.
python main.py
- Use model list
- Separate Encoder end Decoder into Class
- Block with double conv