This is the implementation for the paper, Annotation-efficient Cell Counting, (MICCAI 2021).
- To run the code:
python VGG_main.py /LABELED/JSON_FILE /UNLABELED/JSON_FILE /VAL/JSON_FILE GPU_ID SAVED_NAME
- For example:
python VGG_main.py ./VGG_sa_n10_train_labeled.json ./VGG_sa_n10_train_unlabeled.json ./VGG_sa_n10_val.json 0 VGG_sa_n10_model_
- Active_Selection_VGG_Dataset.ipynb is the file for active selection