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e857f97 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 | # import os
#
# import pandas as pd
#
# OPENAI_IMAGENET_TEMPLATES = (
# lambda c: f'a bad thermal infrared photo of a {c}.',
# lambda c: f'a thermal infrared photo of many {c}.',
# lambda c: f'a sculpture of a {c}.',
# lambda c: f'a thermal infrared photo of the hard to see {c}.',
# lambda c: f'a low resolution thermal infrared photo of the {c}.',
# lambda c: f'a rendering of a {c}.',
# lambda c: f'graffiti of a {c}.',
# lambda c: f'a bad thermal infrared photo of the {c}.',
# lambda c: f'a cropped thermal infrared photo of the {c}.',
# lambda c: f'a tattoo of a {c}.',
# lambda c: f'the embroidered {c}.',
# lambda c: f'a thermal infrared photo of a hard to see {c}.',
# lambda c: f'a bright thermal infrared photo of a {c}.',
# lambda c: f'a thermal infrared photo of a clean {c}.',
# lambda c: f'a thermal infrared photo of a dirty {c}.',
# lambda c: f'a dark thermal infrared photo of the {c}.',
# lambda c: f'a drawing of a {c}.',
# lambda c: f'a thermal infrared photo of my {c}.',
# lambda c: f'the plastic {c}.',
# lambda c: f'a thermal infrared photo of the cool {c}.',
# lambda c: f'a close-up thermal infrared photo of a {c}.',
# lambda c: f'a black and white thermal infrared photo of the {c}.',
# lambda c: f'a painting of the {c}.',
# lambda c: f'a painting of a {c}.',
# lambda c: f'a pixelated thermal infrared photo of the {c}.',
# lambda c: f'a sculpture of the {c}.',
# lambda c: f'a bright thermal infrared photo of the {c}.',
# lambda c: f'a cropped thermal infrared photo of a {c}.',
# lambda c: f'a plastic {c}.',
# lambda c: f'a thermal infrared photo of the dirty {c}.',
# lambda c: f'a jpeg corrupted thermal infrared photo of a {c}.',
# lambda c: f'a blurry thermal infrared photo of the {c}.',
# lambda c: f'a thermal infrared photo of the {c}.',
# lambda c: f'a good thermal infrared photo of the {c}.',
# lambda c: f'a rendering of the {c}.',
# lambda c: f'a {c} in a video game.',
# lambda c: f'a thermal infrared photo of one {c}.',
# lambda c: f'a doodle of a {c}.',
# lambda c: f'a close-up thermal infrared photo of the {c}.',
# lambda c: f'a thermal infrared photo of a {c}.',
# lambda c: f'the origami {c}.',
# lambda c: f'the {c} in a video game.',
# lambda c: f'a sketch of a {c}.',
# lambda c: f'a doodle of the {c}.',
# lambda c: f'a origami {c}.',
# lambda c: f'a low resolution thermal infrared photo of a {c}.',
# lambda c: f'the toy {c}.',
# lambda c: f'a rendition of the {c}.',
# lambda c: f'a thermal infrared photo of the clean {c}.',
# lambda c: f'a thermal infrared photo of a large {c}.',
# lambda c: f'a rendition of a {c}.',
# lambda c: f'a thermal infrared photo of a nice {c}.',
# lambda c: f'a thermal infrared photo of a weird {c}.',
# lambda c: f'a blurry thermal infrared photo of a {c}.',
# lambda c: f'a cartoon {c}.',
# lambda c: f'art of a {c}.',
# lambda c: f'a sketch of the {c}.',
# lambda c: f'a embroidered {c}.',
# lambda c: f'a pixelated thermal infrared photo of a {c}.',
# lambda c: f'itap of the {c}.',
# lambda c: f'a jpeg corrupted thermal infrared photo of the {c}.',
# lambda c: f'a good thermal infrared photo of a {c}.',
# lambda c: f'a plushie {c}.',
# lambda c: f'a thermal infrared photo of the nice {c}.',
# lambda c: f'a thermal infrared photo of the small {c}.',
# lambda c: f'a thermal infrared photo of the weird {c}.',
# lambda c: f'the cartoon {c}.',
# lambda c: f'art of the {c}.',
# lambda c: f'a drawing of the {c}.',
# lambda c: f'a thermal infrared photo of the large {c}.',
# lambda c: f'a black and white thermal infrared photo of a {c}.',
# lambda c: f'the plushie {c}.',
# lambda c: f'a dark thermal infrared photo of a {c}.',
# lambda c: f'itap of a {c}.',
# lambda c: f'graffiti of the {c}.',
# lambda c: f'a toy {c}.',
# lambda c: f'itap of my {c}.',
# lambda c: f'a thermal infrared photo of a cool {c}.',
# lambda c: f'a thermal infrared photo of a small {c}.',
# lambda c: f'a tattoo of the {c}.',
# )
#
# # a much smaller subset of above prompts
# # from https://github.com/openai/CLIP/blob/main/notebooks/Prompt_Engineering_for_ImageNet.ipynb
# SIMPLE_IMAGENET_TEMPLATES = (
# lambda c: f'itap of a {c}.',
# lambda c: f'a bad thermal infrared photo of the {c}.',
# lambda c: f'a origami {c}.',
# lambda c: f'a thermal infrared photo of the large {c}.',
# lambda c: f'a {c} in a video game.',
# lambda c: f'art of the {c}.',
# lambda c: f'a thermal infrared photo of the small {c}.',
# )
#
# CLASSNAMES = {
# 'LLVIP': (
# "background", "people"
# ),
# 'FLIRV1': (
# "bicycle", "car", "dog", "person"
# ),
# 'FLIRV2': (
# "bike", "bus", "car or pick-up trucks or vans", "hydrant", "traffic light", "motor", "construction equipment or trailers",
# "person", "sign", "skateboard", "stroller or pram", "semi truck or freight truck"
# ),
# 'LSOTB': (
# "airplane", "badger", "bat", "bird", "boat", "bus", "car", "cat", "cow", "coyote", "deer", "dog",
# "drone", "fox", "helicopter", "hog", "leopard", "motobike", "person", "truck"
# )
# }
import os
import pandas as pd
OPENAI_IMAGENET_TEMPLATES = (
lambda c: f'a bad photo of a {c}.',
lambda c: f'a photo of many {c}.',
lambda c: f'a sculpture of a {c}.',
lambda c: f'a photo of the hard to see {c}.',
lambda c: f'a low resolution photo of the {c}.',
lambda c: f'a rendering of a {c}.',
lambda c: f'graffiti of a {c}.',
lambda c: f'a bad photo of the {c}.',
lambda c: f'a cropped photo of the {c}.',
lambda c: f'a tattoo of a {c}.',
lambda c: f'the embroidered {c}.',
lambda c: f'a photo of a hard to see {c}.',
lambda c: f'a bright photo of a {c}.',
lambda c: f'a photo of a clean {c}.',
lambda c: f'a photo of a dirty {c}.',
lambda c: f'a dark photo of the {c}.',
lambda c: f'a drawing of a {c}.',
lambda c: f'a photo of my {c}.',
lambda c: f'the plastic {c}.',
lambda c: f'a photo of the cool {c}.',
lambda c: f'a close-up photo of a {c}.',
lambda c: f'a black and white photo of the {c}.',
lambda c: f'a painting of the {c}.',
lambda c: f'a painting of a {c}.',
lambda c: f'a pixelated photo of the {c}.',
lambda c: f'a sculpture of the {c}.',
lambda c: f'a bright photo of the {c}.',
lambda c: f'a cropped photo of a {c}.',
lambda c: f'a plastic {c}.',
lambda c: f'a photo of the dirty {c}.',
lambda c: f'a jpeg corrupted photo of a {c}.',
lambda c: f'a blurry photo of the {c}.',
lambda c: f'a photo of the {c}.',
lambda c: f'a good photo of the {c}.',
lambda c: f'a rendering of the {c}.',
lambda c: f'a {c} in a video game.',
lambda c: f'a photo of one {c}.',
lambda c: f'a doodle of a {c}.',
lambda c: f'a close-up photo of the {c}.',
lambda c: f'a photo of a {c}.',
lambda c: f'the origami {c}.',
lambda c: f'the {c} in a video game.',
lambda c: f'a sketch of a {c}.',
lambda c: f'a doodle of the {c}.',
lambda c: f'a origami {c}.',
lambda c: f'a low resolution photo of a {c}.',
lambda c: f'the toy {c}.',
lambda c: f'a rendition of the {c}.',
lambda c: f'a photo of the clean {c}.',
lambda c: f'a photo of a large {c}.',
lambda c: f'a rendition of a {c}.',
lambda c: f'a photo of a nice {c}.',
lambda c: f'a photo of a weird {c}.',
lambda c: f'a blurry photo of a {c}.',
lambda c: f'a cartoon {c}.',
lambda c: f'art of a {c}.',
lambda c: f'a sketch of the {c}.',
lambda c: f'a embroidered {c}.',
lambda c: f'a pixelated photo of a {c}.',
lambda c: f'itap of the {c}.',
lambda c: f'a jpeg corrupted photo of the {c}.',
lambda c: f'a good photo of a {c}.',
lambda c: f'a plushie {c}.',
lambda c: f'a photo of the nice {c}.',
lambda c: f'a photo of the small {c}.',
lambda c: f'a photo of the weird {c}.',
lambda c: f'the cartoon {c}.',
lambda c: f'art of the {c}.',
lambda c: f'a drawing of the {c}.',
lambda c: f'a photo of the large {c}.',
lambda c: f'a black and white photo of a {c}.',
lambda c: f'the plushie {c}.',
lambda c: f'a dark photo of a {c}.',
lambda c: f'itap of a {c}.',
lambda c: f'graffiti of the {c}.',
lambda c: f'a toy {c}.',
lambda c: f'itap of my {c}.',
lambda c: f'a photo of a cool {c}.',
lambda c: f'a photo of a small {c}.',
lambda c: f'a tattoo of the {c}.',
)
# a much smaller subset of above prompts
# from https://github.com/openai/CLIP/blob/main/notebooks/Prompt_Engineering_for_ImageNet.ipynb
SIMPLE_IMAGENET_TEMPLATES = (
lambda c: f'itap of a {c}.',
lambda c: f'a bad photo of the {c}.',
lambda c: f'a origami {c}.',
lambda c: f'a photo of the large {c}.',
lambda c: f'a {c} in a video game.',
lambda c: f'art of the {c}.',
lambda c: f'a photo of the small {c}.',
)
CLASSNAMES = {
'LLVIP': (
"background", "people"
),
'FLIRV1': (
"bicycle", "car", "dog", "person"
),
'FLIRV2': (
"bike", "bus", "car or pick-up trucks or vans", "hydrant", "traffic light", "motor", "construction equipment or trailers",
"person", "sign", "skateboard", "stroller or pram", "semi truck or freight truck"
),
'LSOTB': (
"airplane", "badger", "bat", "bird", "boat", "bus", "car", "cat", "cow", "coyote", "deer", "dog",
"drone", "fox", "helicopter", "hog", "leopard", "motobike", "person", "truck"
)
}
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