grasp / utils /OCID_sub_class_dict.py
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Upload cleaned LLMF2 code and OCID-VLG multiple-split weights
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import numpy as np
cnames = {
'background' : '0',
'apple' : '1',
'ball' : '2',
'banana' : '3',
'bell_pepper' : '4',
'binder' : '5',
'bowl' : '6',
'cereal_box' : '7',
'coffee_mug' : '8',
'flashlight' : '9',
'food_bag' : '10',
'food_box' : '11',
'food_can' : '12',
'glue_stick' : '13',
'hand_towel' : '14',
'instant_noodles' : '15',
'keyboard' : '16',
'kleenex' : '17',
'lemon' : '18',
'lime' : '19',
'marker' : '20',
'orange' : '21',
'peach' : '22',
'pear' : '23',
'potato' : '24',
'shampoo' : '25',
'soda_can' : '26',
'sponge' : '27',
'stapler' : '28',
'tomato' : '29',
'toothpaste' : '30',
'unknown' : '31'
}
colors = {
'b': np.array([0.0, 0.0, 1.0])*255,
'g': np.array([0.0, 0.5, 0.0])*255,
'r': np.array([1.0, 0.0, 0.0])*255,
'c': np.array([0.0, 0.75, 0.75])*255,
'm': np.array([0.75, 0, 0.75])*255,
'y': np.array([0.75, 0.75, 0])*255,
'w': np.array([1.0, 1.0, 1.0])*255,
}
colors_list = list(colors.values())
subnames = {'background': 0,
'apple_1': 1,
'apple_2': 2,
'ball_1': 3,
'ball_2': 4,
'ball_3': 5,
'banana_1': 6,
'banana_2': 7,
'bell_pepper_1': 8,
'binder_1': 9,
'bowl_1': 10,
'cereal_box_1': 11,
'cereal_box_3': 12,
'cereal_box_4': 13,
'cereal_box_5': 14,
'coffee_mug_1': 15,
'coffee_mug_2': 16,
'flashlight_1': 17,
'food_bag_2': 18,
'food_bag_3': 19,
'food_bag_4': 20,
'food_box_1': 21,
'food_box_2': 22,
'food_box_3': 23,
'food_can_1': 24,
'food_can_2': 25,
'food_can_3': 26,
'glue_stick_1': 27,
'hand_towel_1': 28,
'hand_towel_2': 29,
'hand_towel_3': 30,
'instant_noodles_1': 31,
'instant_noodles_2': 32,
'keyboard_1': 33,
'keyboard_2': 34,
'kleenex_1': 35,
'kleenex_2': 36,
'kleenex_3': 37,
'lemon_1': 38,
'lemon_2': 39,
'lime_1': 40,
'lime_2': 41,
'marker_1': 42,
'marker_2': 43,
'marker_3': 44,
'orange_1': 45,
'orange_2': 46,
'peach_1': 47,
'peach_2': 48,
'pear_1': 49,
'pear_2': 50,
'potato_1': 51,
'potato_2': 52,
'shampoo_1': 53,
'shampoo_2': 54,
'shampoo_3': 55,
'soda_can_1': 56,
'soda_can_2': 57,
'sponge_1': 58,
'sponge_2': 59,
'sponge_3': 60,
'stapler_1': 61,
'stapler_2': 62,
'tomato_1': 63,
'toothpaste_1': 64,
'toothpaste_2': 65,
'unknown': 66
}
sub_to_class = {0: 0,
1: 1,
2: 1,
3: 2,
4: 2,
5: 2,
6: 3,
7: 3,
8: 4,
9: 5,
10: 6,
11: 7,
12: 7,
13: 7,
14: 7,
15: 8,
16: 8,
17: 9,
18: 10,
19: 10,
20: 10,
21: 11,
22: 11,
23: 11,
24: 12,
25: 12,
26: 12,
27: 13,
28: 14,
29: 14,
30: 14,
31: 15,
32: 15,
33: 16,
34: 16,
35: 17,
36: 17,
37: 17,
38: 18,
39: 18,
40: 19,
41: 19,
42: 20,
43: 20,
44: 20,
45: 21,
46: 21,
47: 22,
48: 22,
49: 23,
50: 23,
51: 24,
52: 24,
53: 25,
54: 25,
55: 25,
56: 26,
57: 26,
58: 27,
59: 27,
60: 27,
61: 28,
62: 28,
63: 29,
64: 30,
65: 30,
66: 31
}