Plant disease segmentation
mmseg is the configuration file for MMsegmentation. Place the corresponding folder in the corresponding folder of the project directory.https://github.com/open-mmlab/mmsegmentation
mmseg/result contains the experimental results for plant disease segmentation using the SETR model.
deep_learning contains the code for CNN-based models such as FCN, UNET, and DEEPLAB.
deep_learning/segmentation/result contains the experimental results based on CNN models.
*.sh files are example scripts for submitting tasks to SLURM.
other/preprocessing.py is for creating dataset splitting files for binary or multi-class classification.
other/mmseg_preprocessing.py is for creating dataset splitting files for binary or multi-class classification for MMsegmentation.
main funtion in deep_learning/segmentation/run.py