| from pycocotools import mask as maskUtils | |
| import json | |
| from tqdm import tqdm | |
| def annToMask(mask_ann, h=None, w=None): | |
| if isinstance(mask_ann, list): | |
| rles = maskUtils.frPyObjects(mask_ann, h, w) | |
| rle = maskUtils.merge(rles) | |
| elif isinstance(mask_ann['counts'], list): | |
| # uncompressed RLE | |
| rle = maskUtils.frPyObjects(mask_ann, h, w) | |
| else: | |
| # rle | |
| rle = mask_ann | |
| mask = maskUtils.decode(rle) | |
| return mask | |
| data = json.load(open('/mnt/workspace/workgroup/yuanyq/code/LISA/utils/new_format/refcocog_seg.json')) | |
| for i in tqdm(range(len(data)//10)): | |
| try: | |
| d = data[i*10] | |
| h = None | |
| w = None | |
| for msk in d['masks']: | |
| if 'height' in d: | |
| h = d['height'] | |
| w = d['width'] | |
| mask = annToMask(msk, h, w) | |
| except: | |
| import pdb | |
| pdb.set_trace() |