bm_dataset.crop_tissue_images module¶
Crop images around major object with set padding
Note
Using these scripts for 1+GB images take several tens of GB RAM
Sample usage:
python crop_tissue_images.py -i "/datagrid/Medical/dataset_ANHIR/images/COAD_*/scale-100pc/*.png" --padding 0.1 --nb_workers 2
Copyright (C) 2016-2019 Jiri Borovec <jiri.borovec@fel.cvut.cz>
- bm_dataset.crop_tissue_images.arg_parse_params()[source]¶
parse the input parameters :return dict: {str: any}
- bm_dataset.crop_tissue_images.crop_image(img_path, crop_dims=(0, 1), padding=0.15)[source]¶
crop umages to by tight around tissue