In [1]: from shapenet_utils import synset_to_label, category_filling_rate, filter_filling_rate
In [2]: synset_to_label
Out[2]:
{'02691156': 'airplane',
'02747177': 'trash_bin',
'02773838': 'bag',
'02801938': 'basket',
'02808440': 'bathtub',
'02818832': 'bed',
'02828884': 'bench',
'02834778': 'bicycle',
'02843684': 'birdhouse',
'02871439': 'bookshelf',
'02876657': 'bottle',
'02880940': 'bowl',
'02924116': 'bus',
'02933112': 'cabinet',
'02942699': 'camera',
'02946921': 'can',
'02954340': 'cap',
'02958343': 'car',
'02992529': 'cellular_telephone',
'03001627': 'chair',
'03046257': 'clock',
'03085013': 'keyboard',
'03207941': 'dishwasher',
'03211117': 'display',
'03261776': 'earphone',
'03325088': 'faucet',
'03337140': 'file_cabinet',
'03467517': 'guitar',
'03513137': 'helmet',
'03593526': 'jar',
'03624134': 'knife',
'03636649': 'lamp',
'03642806': 'laptop',
'03691459': 'loudspeaker',
'03710193': 'mailbox',
'03759954': 'microphone',
'03761084': 'microwave',
'03790512': 'motorbike',
'03797390': 'mug',
'03928116': 'piano',
'03938244': 'pillow',
'03948459': 'pistol',
'03991062': 'pot',
'04004475': 'printer',
'04074963': 'remote_control',
'04090263': 'rifle',
'04099429': 'rocket',
'04225987': 'skateboard',
'04256520': 'sofa',
'04330267': 'stove',
'04379243': 'table',
'04401088': 'telephone',
'04460130': 'tower',
'04468005': 'train',
'04530566': 'watercraft',
'04554684': 'washer'}
...
In [3]: label, value = category_filling_rate(method='convex_hull', sort=False, to_label=True)
Out[3]: value
[0.18682989551278367,
0.5380902359048308,
0.6874236684944967,
0.2676654243221465,
0.3664247096367181,
...
In [4]: filtered_label, filtered_value = filter_filling_rate(0, 0.5, sort=False, to_label=True)
In [5]: filtered_value
Out[5]:
[0.18682989551278367,
0.2676654243221465,
0.3664247096367181,
0.36788512028741643,
0.16914450910344583,
...
