Hugging Face's logo

Spaces:
kimteawan
/
GradioML2
Runtime error

App Files Community
kimteawan commited on
Commit
33f829f
•
1 Parent(s): b0b2560

Upload 2 files

Browse files
Files changed (1) hide show
  1. app.py +138 -136
app.py CHANGED
@@ -8,165 +8,167 @@ import tensorflow as tf
8
  from transformers import SegformerFeatureExtractor, TFSegformerForSemanticSegmentation
9
 
10
  feature_extractor = SegformerFeatureExtractor.from_pretrained(
11
- "nvidia/segformer-b5-finetuned-ade-640-640"
 
12
  )
13
  model = TFSegformerForSemanticSegmentation.from_pretrained(
14
- "nvidia/segformer-b5-finetuned-ade-640-640"
 
15
  )
16
 
17
  def ade_palette():
18
  """ADE20K palette that maps each class to RGB values."""
19
  return [
20
- [204, 87, 92],
21
- [112, 185, 212],
22
- [45, 189, 106],
23
- [234, 123, 67],
24
- [78, 56, 123],
25
- [210, 32, 89],
26
- [90, 180, 56],
27
- [155, 102, 200],
28
- [33, 147, 176],
29
- [255, 183, 76],
30
- [67, 123, 89],
31
- [190, 60, 45],
32
- [134, 112, 200],
33
- [56, 45, 189],
34
- [200, 56, 123],
35
- [87, 92, 204],
36
- [120, 56, 123],
37
- [45, 78, 123],
38
- [156, 200, 56],
39
- [32, 90, 210],
40
- [56, 123, 67],
41
- [180, 56, 123],
42
- [123, 67, 45],
43
- [45, 134, 200],
44
- [67, 56, 123],
45
- [78, 123, 67],
46
- [32, 210, 90],
47
- [45, 56, 189],
48
- [123, 56, 123],
49
- [56, 156, 200],
50
- [189, 56, 45],
51
- [112, 200, 56],
52
- [56, 123, 45],
53
- [200, 32, 90],
54
- [123, 45, 78],
55
- [200, 156, 56],
56
- [45, 67, 123],
57
- [56, 45, 78],
58
- [45, 56, 123],
59
- [123, 67, 56],
60
- [56, 78, 123],
61
- [210, 90, 32],
62
- [123, 56, 189],
63
- [45, 200, 134],
64
- [67, 123, 56],
65
- [123, 45, 67],
66
- [90, 32, 210],
67
- [200, 45, 78],
68
- [32, 210, 90],
69
- [45, 123, 67],
70
- [165, 42, 87],
71
- [72, 145, 167],
72
- [15, 158, 75],
73
- [209, 89, 40],
74
- [32, 21, 121],
75
- [184, 20, 100],
76
- [56, 135, 15],
77
- [128, 92, 176],
78
- [1, 119, 140],
79
- [220, 151, 43],
80
- [41, 97, 72],
81
- [148, 38, 27],
82
- [107, 86, 176],
83
- [21, 26, 136],
84
- [174, 27, 90],
85
- [91, 96, 204],
86
- [108, 50, 107],
87
- [27, 45, 136],
88
- [168, 200, 52],
89
- [7, 102, 27],
90
- [42, 93, 56],
91
- [140, 52, 112],
92
- [92, 107, 168],
93
- [17, 118, 176],
94
- [59, 50, 174],
95
- [206, 40, 143],
96
- [44, 19, 142],
97
- [23, 168, 75],
98
- [54, 57, 189],
99
- [144, 21, 15],
100
- [15, 176, 35],
101
- [107, 19, 79],
102
- [204, 52, 114],
103
- [48, 173, 83],
104
- [11, 120, 53],
105
- [206, 104, 28],
106
- [20, 31, 153],
107
- [27, 21, 93],
108
- [11, 206, 138],
109
- [112, 30, 83],
110
- [68, 91, 152],
111
- [153, 13, 43],
112
- [25, 114, 54],
113
- [92, 27, 150],
114
- [108, 42, 59],
115
- [194, 77, 5],
116
- [145, 48, 83],
117
- [7, 113, 19],
118
- [25, 92, 113],
119
- [60, 168, 79],
120
- [78, 33, 120],
121
- [89, 176, 205],
122
- [27, 200, 94],
123
- [210, 67, 23],
124
- [123, 89, 189],
125
- [225, 56, 112],
126
- [75, 156, 45],
127
- [172, 104, 200],
128
- [15, 170, 197],
129
- [240, 133, 65],
130
- [89, 156, 112],
131
- [214, 88, 57],
132
- [156, 134, 200],
133
- [78, 57, 189],
134
- [200, 78, 123],
135
- [106, 120, 210],
136
- [145, 56, 112],
137
- [89, 120, 189],
138
- [185, 206, 56],
139
- [47, 99, 28],
140
- [112, 189, 78],
141
- [200, 112, 89],
142
- [89, 145, 112],
143
- [78, 106, 189],
144
- [112, 78, 189],
145
- [156, 112, 78],
146
- [28, 210, 99],
147
- [78, 89, 189],
148
- [189, 78, 57],
149
- [112, 200, 78],
150
- [189, 47, 78],
151
- [205, 112, 57],
152
  [78, 145, 57],
153
  [200, 78, 112],
154
  [99, 89, 145],
155
  [200, 156, 78],
156
  [57, 78, 145],
157
  [78, 57, 99],
158
- [57, 78, 145],
159
  [145, 112, 78],
160
  [78, 89, 145],
161
  [210, 99, 28],
162
  [145, 78, 189],
163
  [57, 200, 136],
164
  [89, 156, 78],
 
 
 
 
 
 
165
  [145, 78, 99],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
166
  [99, 28, 210],
167
  [189, 78, 47],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
168
  [28, 210, 99],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
169
  [78, 145, 57],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
170
  ]
171
 
172
  labels_list = []
@@ -235,7 +237,7 @@ def sepia(input_img):
235
  demo = gr.Interface(fn=sepia,
236
  inputs=gr.Image(shape=(400, 600)),
237
  outputs=['plot'],
238
- examples=["ADE_val_00000001.jpeg", "ADE_val_00001159.jpg", "ADE_val_00001248.jpg", "ADE_val_00001472.jpg"],
239
  allow_flagging='never')
240
 
241
 
 
8
  from transformers import SegformerFeatureExtractor, TFSegformerForSemanticSegmentation
9
 
10
  feature_extractor = SegformerFeatureExtractor.from_pretrained(
11
+ # "nvidia/segformer-b5-finetuned-ade-640-640"
12
+ "nvidia/segformer-b0-finetuned-ade-512-512"
13
  )
14
  model = TFSegformerForSemanticSegmentation.from_pretrained(
15
+ # "nvidia/segformer-b5-finetuned-ade-640-640"
16
+ "nvidia/segformer-b0-finetuned-ade-512-512"
17
  )
18
 
19
  def ade_palette():
20
  """ADE20K palette that maps each class to RGB values."""
21
  return [
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22
  [78, 145, 57],
23
  [200, 78, 112],
24
  [99, 89, 145],
25
  [200, 156, 78],
26
  [57, 78, 145],
27
  [78, 57, 99],
 
28
  [145, 112, 78],
29
  [78, 89, 145],
30
  [210, 99, 28],
31
  [145, 78, 189],
32
  [57, 200, 136],
33
  [89, 156, 78],
34
+ [99, 28, 210],
35
+ [189, 78, 47],
36
+ [28, 210, 99],
37
+ [200, 78, 112],
38
+ [210, 99, 28],
39
+ [78, 145, 57],
40
  [145, 78, 99],
41
+ [78, 57, 99],
42
+ [78, 145, 57],
43
+ [99, 28, 210],
44
+ [99, 89, 145],
45
+ [145, 78, 99],
46
+ [145, 112, 78],
47
+ [78, 89, 145],
48
+ [57, 78, 145],
49
+ [57, 200, 136],
50
+ [57, 78, 145],
51
+ [99, 28, 210],
52
+ [89, 156, 78],
53
+ [57, 78, 145],
54
+ [78, 89, 145],
55
+ [145, 112, 78],
56
+ [200, 156, 78],
57
+ [57, 200, 136],
58
+ [28, 210, 99],
59
+ [78, 57, 99],
60
+ [78, 145, 57],
61
+ [57, 200, 136],
62
+ [57, 78, 145],
63
+ [210, 99, 28],
64
+ [145, 78, 189],
65
+ [200, 78, 112],
66
+ [78, 89, 145],
67
  [99, 28, 210],
68
  [189, 78, 47],
69
+ [99, 89, 145],
70
+ [78, 145, 57],
71
+ [200, 156, 78],
72
+ [57, 78, 145],
73
+ [210, 99, 28],
74
+ [145, 78, 189],
75
+ [78, 89, 145],
76
+ [200, 78, 112],
77
+ [57, 78, 145],
78
+ [145, 112, 78],
79
+ [99, 28, 210],
80
+ [57, 200, 136],
81
+ [78, 57, 99],
82
+ [28, 210, 99],
83
+ [189, 78, 47],
84
+ [145, 78, 189],
85
+ [78, 57, 99],
86
+ [99, 28, 210],
87
+ [57, 200, 136],
88
+ [145, 112, 78],
89
+ [78, 89, 145],
90
+ [200, 78, 112],
91
+ [78, 57, 99],
92
+ [99, 28, 210],
93
+ [145, 78, 99],
94
  [28, 210, 99],
95
+ [145, 112, 78],
96
+ [78, 89, 145],
97
+ [57, 200, 136],
98
+ [57, 78, 145],
99
+ [189, 78, 47],
100
+ [200, 156, 78],
101
+ [99, 28, 210],
102
+ [78, 89, 145],
103
+ [145, 78, 189],
104
+ [57, 78, 145],
105
+ [200, 78, 112],
106
+ [78, 57, 99],
107
+ [99, 89, 145],
108
+ [210, 99, 28],
109
+ [145, 78, 189],
110
+ [28, 210, 99],
111
+ [145, 112, 78],
112
+ [57, 200, 136],
113
+ [78, 57, 99],
114
+ [78, 145, 57],
115
+ [99, 28, 210],
116
+ [200, 156, 78],
117
+ [57, 78, 145],
118
+ [145, 78, 99],
119
+ [78, 89, 145],
120
+ [57, 200, 136],
121
+ [28, 210, 99],
122
+ [99, 89, 145],
123
  [78, 145, 57],
124
+ [145, 78, 99],
125
+ [200, 78, 112],
126
+ [78, 57, 99],
127
+ [210, 99, 28],
128
+ [57, 78, 145],
129
+ [200, 156, 78],
130
+ [99, 28, 210],
131
+ [189, 78, 47],
132
+ [78, 89, 145],
133
+ [57, 200, 136],
134
+ [145, 112, 78],
135
+ [145, 78, 189],
136
+ [28, 210, 99],
137
+ [99, 89, 145],
138
+ [78, 57, 99],
139
+ [57, 200, 136],
140
+ [210, 99, 28],
141
+ [145, 112, 78],
142
+ [78, 145, 57],
143
+ [78, 89, 145],
144
+ [57, 78, 145],
145
+ [200, 78, 112],
146
+ [189, 78, 47],
147
+ [200, 156, 78],
148
+ [57, 200, 136],
149
+ [99, 89, 145],
150
+ [99, 28, 210],
151
+ [145, 112, 78],
152
+ [145, 78, 99],
153
+ [57, 78, 145],
154
+ [28, 210, 99],
155
+ [78, 57, 99],
156
+ [78, 145, 57],
157
+ [57, 200, 136],
158
+ [78, 89, 145],
159
+ [99, 28, 210],
160
+ [200, 156, 78],
161
+ [145, 78, 189],
162
+ [78, 57, 99],
163
+ [57, 78, 145],
164
+ [210, 99, 28],
165
+ [99, 89, 145],
166
+ [28, 210, 99],
167
+ [145, 112, 78],
168
+ [200, 78, 112],
169
+ [78, 57, 99],
170
+ [57, 78, 145],
171
+ [99, 28, 210],
172
  ]
173
 
174
  labels_list = []
 
237
  demo = gr.Interface(fn=sepia,
238
  inputs=gr.Image(shape=(400, 600)),
239
  outputs=['plot'],
240
+ examples=["sample-1.jpg", "sample-2.jpg", "sample-3.png", ],
241
  allow_flagging='never')
242
 
243