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  1. app.py +7 -139
app.py CHANGED
@@ -8,10 +8,10 @@ import tensorflow as tf
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  from transformers import SegformerFeatureExtractor, TFSegformerForSemanticSegmentation
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  feature_extractor = SegformerFeatureExtractor.from_pretrained(
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- "nvidia/segformer-b5-findtuned-ade-640-640"
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  )
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  model = TFSegformerForSemanticSegmentation.from_pretrained(
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- "nvidia/segformer-b5-findtuned-ade-640-640"
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  )
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@@ -22,152 +22,20 @@ def ade_palette():
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  [0, 255, 0],
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  [0, 0, 255],
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  [255, 255, 0],
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- [255, 0, 255],
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  [0, 255, 255],
 
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  [128, 0, 0],
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  [0, 128, 0],
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  [0, 0, 128],
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  [128, 128, 0],
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- [128, 0, 128],
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  [0, 128, 128],
 
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  [192, 192, 192],
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  [128, 128, 128],
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  [255, 128, 0],
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- [128, 255, 0],
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- [128, 0, 255],
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- [45, 78, 123],
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- [156, 200, 56],
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- [32, 90, 210],
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- [56, 123, 67],
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- [180, 56, 123],
43
- [123, 67, 45],
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- [45, 134, 200],
45
- [67, 56, 123],
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- [78, 123, 67],
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- [32, 210, 90],
48
- [45, 56, 189],
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- [123, 56, 123],
50
- [56, 156, 200],
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- [189, 56, 45],
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- [112, 200, 56],
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- [56, 123, 45],
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- [200, 32, 90],
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- [123, 45, 78],
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- [200, 156, 56],
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- [45, 67, 123],
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- [56, 45, 78],
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- [45, 56, 123],
60
- [123, 67, 56],
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- [56, 78, 123],
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- [210, 90, 32],
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- [123, 56, 189],
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- [45, 200, 134],
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- [67, 123, 56],
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- [123, 45, 67],
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- [90, 32, 210],
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- [200, 45, 78],
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- [32, 210, 90],
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- [45, 123, 67],
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- [165, 42, 87],
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- [72, 145, 167],
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- [15, 158, 75],
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- [209, 89, 40],
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- [32, 21, 121],
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- [184, 20, 100],
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- [56, 135, 15],
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- [128, 92, 176],
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- [1, 119, 140],
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- [220, 151, 43],
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- [41, 97, 72],
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- [148, 38, 27],
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- [107, 86, 176],
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- [21, 26, 136],
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- [174, 27, 90],
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- [91, 96, 204],
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- [108, 50, 107],
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- [27, 45, 136],
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- [168, 200, 52],
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- [7, 102, 27],
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- [42, 93, 56],
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- [140, 52, 112],
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- [92, 107, 168],
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- [17, 118, 176],
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- [59, 50, 174],
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- [206, 40, 143],
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- [44, 19, 142],
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- [23, 168, 75],
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- [54, 57, 189],
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- [144, 21, 15],
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- [15, 176, 35],
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- [107, 19, 79],
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- [204, 52, 114],
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- [48, 173, 83],
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- [11, 120, 53],
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- [206, 104, 28],
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- [20, 31, 153],
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- [27, 21, 93],
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- [11, 206, 138],
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- [112, 30, 83],
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- [68, 91, 152],
112
- [153, 13, 43],
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- [25, 114, 54],
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- [92, 27, 150],
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- [108, 42, 59],
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- [194, 77, 5],
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- [145, 48, 83],
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- [7, 113, 19],
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- [25, 92, 113],
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- [60, 168, 79],
121
- [78, 33, 120],
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- [89, 176, 205],
123
- [27, 200, 94],
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- [210, 67, 23],
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- [123, 89, 189],
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- [225, 56, 112],
127
- [75, 156, 45],
128
- [172, 104, 200],
129
- [15, 170, 197],
130
- [240, 133, 65],
131
- [89, 156, 112],
132
- [214, 88, 57],
133
- [156, 134, 200],
134
- [78, 57, 189],
135
- [200, 78, 123],
136
- [106, 120, 210],
137
- [145, 56, 112],
138
- [89, 120, 189],
139
- [185, 206, 56],
140
- [47, 99, 28],
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- [112, 189, 78],
142
- [200, 112, 89],
143
- [89, 145, 112],
144
- [78, 106, 189],
145
- [112, 78, 189],
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- [156, 112, 78],
147
- [28, 210, 99],
148
- [78, 89, 189],
149
- [189, 78, 57],
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- [112, 200, 78],
151
- [189, 47, 78],
152
- [205, 112, 57],
153
- [78, 145, 57],
154
- [200, 78, 112],
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- [99, 89, 145],
156
- [200, 156, 78],
157
- [57, 78, 145],
158
- [78, 57, 99],
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- [57, 78, 145],
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- [145, 112, 78],
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- [78, 89, 145],
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- [210, 99, 28],
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- [145, 78, 189],
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- [57, 200, 136],
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- [89, 156, 78],
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- [145, 78, 99],
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- [99, 28, 210],
168
- [189, 78, 47],
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- [28, 210, 99],
170
- [78, 145, 57],
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  ]
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173
 
 
8
  from transformers import SegformerFeatureExtractor, TFSegformerForSemanticSegmentation
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10
  feature_extractor = SegformerFeatureExtractor.from_pretrained(
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+ "mattmdjaga/segformer_b2_clothes"
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  )
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  model = TFSegformerForSemanticSegmentation.from_pretrained(
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+ "mattmdjaga/segformer_b2_clothes"
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  )
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  [0, 255, 0],
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  [0, 0, 255],
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  [255, 255, 0],
 
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  [0, 255, 255],
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+ [255, 0, 255],
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  [128, 0, 0],
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  [0, 128, 0],
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  [0, 0, 128],
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  [128, 128, 0],
 
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  [0, 128, 128],
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+ [128, 0, 128],
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  [192, 192, 192],
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  [128, 128, 128],
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  [255, 128, 0],
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+ [255, 0, 128],
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+ [0, 255, 128],
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+ [128, 255, 0]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ]
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