.

app.py

@@ -18,6 +18,7 @@ model = TFSegformerForSemanticSegmentation.from_pretrained(
 def ade_palette():
     """ADE20K palette that maps each class to RGB values."""
     return [
+
         [255, 0, 0],
         [0, 255, 0],
         [0, 0, 255],
@@ -36,6 +37,138 @@ def ade_palette():
         [128, 255, 0],
         [128, 0, 255],
         [45, 78, 123],
+        [156, 200, 56],
+        [32, 90, 210],
+        [56, 123, 67],
+        [180, 56, 123],
+        [123, 67, 45],
+        [45, 134, 200],
+        [67, 56, 123],
+        [78, 123, 67],
+        [32, 210, 90],
+        [45, 56, 189],
+        [123, 56, 123],
+        [56, 156, 200],
+        [189, 56, 45],
+        [112, 200, 56],
+        [56, 123, 45],
+        [200, 32, 90],
+        [123, 45, 78],
+        [200, 156, 56],
+        [45, 67, 123],
+        [56, 45, 78],
+        [45, 56, 123],
+        [123, 67, 56],
+        [56, 78, 123],
+        [210, 90, 32],
+        [123, 56, 189],
+        [45, 200, 134],
+        [67, 123, 56],
+        [123, 45, 67],
+        [90, 32, 210],
+        [200, 45, 78],
+        [32, 210, 90],
+        [45, 123, 67],
+        [165, 42, 87],
+        [72, 145, 167],
+        [15, 158, 75],
+        [209, 89, 40],
+        [32, 21, 121],
+        [184, 20, 100],
+        [56, 135, 15],
+        [128, 92, 176],
+        [1, 119, 140],
+        [220, 151, 43],
+        [41, 97, 72],
+        [148, 38, 27],
+        [107, 86, 176],
+        [21, 26, 136],
+        [174, 27, 90],
+        [91, 96, 204],
+        [108, 50, 107],
+        [27, 45, 136],
+        [168, 200, 52],
+        [7, 102, 27],
+        [42, 93, 56],
+        [140, 52, 112],
+        [92, 107, 168],
+        [17, 118, 176],
+        [59, 50, 174],
+        [206, 40, 143],
+        [44, 19, 142],
+        [23, 168, 75],
+        [54, 57, 189],
+        [144, 21, 15],
+        [15, 176, 35],
+        [107, 19, 79],
+        [204, 52, 114],
+        [48, 173, 83],
+        [11, 120, 53],
+        [206, 104, 28],
+        [20, 31, 153],
+        [27, 21, 93],
+        [11, 206, 138],
+        [112, 30, 83],
+        [68, 91, 152],
+        [153, 13, 43],
+        [25, 114, 54],
+        [92, 27, 150],
+        [108, 42, 59],
+        [194, 77, 5],
+        [145, 48, 83],
+        [7, 113, 19],
+        [25, 92, 113],
+        [60, 168, 79],
+        [78, 33, 120],
+        [89, 176, 205],
+        [27, 200, 94],
+        [210, 67, 23],
+        [123, 89, 189],
+        [225, 56, 112],
+        [75, 156, 45],
+        [172, 104, 200],
+        [15, 170, 197],
+        [240, 133, 65],
+        [89, 156, 112],
+        [214, 88, 57],
+        [156, 134, 200],
+        [78, 57, 189],
+        [200, 78, 123],
+        [106, 120, 210],
+        [145, 56, 112],
+        [89, 120, 189],
+        [185, 206, 56],
+        [47, 99, 28],
+        [112, 189, 78],
+        [200, 112, 89],
+        [89, 145, 112],
+        [78, 106, 189],
+        [112, 78, 189],
+        [156, 112, 78],
+        [28, 210, 99],
+        [78, 89, 189],
+        [189, 78, 57],
+        [112, 200, 78],
+        [189, 47, 78],
+        [205, 112, 57],
+        [78, 145, 57],
+        [200, 78, 112],
+        [99, 89, 145],
+        [200, 156, 78],
+        [57, 78, 145],
+        [78, 57, 99],
+        [57, 78, 145],
+        [145, 112, 78],
+        [78, 89, 145],
+        [210, 99, 28],
+        [145, 78, 189],
+        [57, 200, 136],
+        [89, 156, 78],
+        [145, 78, 99],
+        [99, 28, 210],
+        [189, 78, 47],
+        [28, 210, 99],
+        [78, 145, 57],
     ]