Download EgoHOS/raw/script/preprocess_script/dilate.py from ParityLab/Hand-Datasets-Raw: direct link, hf CLI and curl.
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https://huggingface.co/datasets/ParityLab/Hand-Datasets-Raw/resolve/main/EgoHOS/raw/script/preprocess_script/dilate.py
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hf download hf://datasets/ParityLab/Hand-Datasets-Raw/EgoHOS/raw/script/preprocess_script/dilate.py
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curl -L -o dilate.py https://huggingface.co/datasets/ParityLab/Hand-Datasets-Raw/resolve/main/EgoHOS/raw/script/preprocess_script/dilate.py
762 Bytes
| from skimage.io import imsave | |
| from tqdm import tqdm | |
| from PIL import Image | |
| import numpy as np | |
| import glob | |
| import cv2 | |
| import pdb | |
| import os | |
| dilate_iter = 3 | |
| msk_dir = '/mnt/session_space/home/lingzzha/EgoHOS/data/train/label_foreground_512_pad' | |
| msk_dilate_dir = '/mnt/session_space/home/lingzzha/EgoHOS/data/train/label_foreground_512_pad_d' | |
| msk_dilate_dir = msk_dilate_dir + str(dilate_iter) | |
| os.makedirs(msk_dilate_dir, exist_ok = True) | |
| kernel = np.ones((5,5), np.uint8) | |
| for file in tqdm(glob.glob(msk_dir + '/*')): | |
| fname = os.path.basename(file) | |
| mask = np.array(Image.open(file).convert('RGB')); mask[mask > 0] = 1 | |
| mask_dilate = cv2.dilate(mask, kernel, iterations=dilate_iter) | |
| imsave(os.path.join(msk_dilate_dir, fname), mask_dilate) | |