lets see

app.py

@@ -1,16 +1,42 @@
 from transformers import AutoFeatureExtractor, SegformerForSemanticSegmentation
+from torch import nn
+import numpy as np
+from palette import ade_palette
 
 import gradio as gr
 
 def seg(image):
+    ## first resize the image !!
+    image.resize((200,200))
     feature_extractor = AutoFeatureExtractor.from_pretrained("nvidia/mit-b0")
     model = SegformerForSemanticSegmentation.from_pretrained("nvidia/mit-b0")
     print(model)
     
     inputs = feature_extractor(images=image, return_tensors="pt")
     outputs = model(**inputs)
-    logits = outputs.logits
-    return logits
     
-iface = gr.Interface(fn=seg, inputs=gr.inputs.Image(type='pil'), outputs='label')
+    ## The model outputs logits of shape (batch_size, num_labels, height/4, width/4). 
+    # We first rescale the logits to match the original size of the image using 
+    # "bilinear interpolation". Next, we perform an argmax on the class dimension,
+    #  and we create a color map which we draw over the image.
+
+    # First, rescale logits to original image size
+    logits = nn.functional.interpolate(outputs.logits.detach().cpu(),
+                size=image.size[::-1], # (height, width)
+                mode='bilinear',
+                align_corners=False)
+    # Second, apply argmax on the class dimension
+    seg = logits.argmax(dim=1)[0]
+    color_seg = np.zeros((seg.shape[0], seg.shape[1], 3), dtype=np.uint8) # height, width, 3
+    palette = np.array(ade_palette())
+    for label, color in enumerate(palette):
+        color_seg[seg == label, :] = color
+    # Convert to BGR
+    color_seg = color_seg[..., ::-1]
+    img = np.array(image) * 0.5 + color_seg * 0.5
+    img = img.astype(np.uint8)
+
+    return img
+
+iface = gr.Interface(fn=seg, inputs=gr.inputs.Image(type='pil'), outputs=gr.outputs.Image())
 iface.launch()

palette.py

@@ -0,0 +1,42 @@
+# The ADE20k dataset consists of 150 classes, so the list below has 150 elements.
+
+def ade_palette():
+    """ADE20K palette that maps each class to RGB values."""
+    return [[120, 120, 120], [180, 120, 120], [6, 230, 230], [80, 50, 50],
+            [4, 200, 3], [120, 120, 80], [140, 140, 140], [204, 5, 255],
+            [230, 230, 230], [4, 250, 7], [224, 5, 255], [235, 255, 7],
+            [150, 5, 61], [120, 120, 70], [8, 255, 51], [255, 6, 82],
+            [143, 255, 140], [204, 255, 4], [255, 51, 7], [204, 70, 3],
+            [0, 102, 200], [61, 230, 250], [255, 6, 51], [11, 102, 255],
+            [255, 7, 71], [255, 9, 224], [9, 7, 230], [220, 220, 220],
+            [255, 9, 92], [112, 9, 255], [8, 255, 214], [7, 255, 224],
+            [255, 184, 6], [10, 255, 71], [255, 41, 10], [7, 255, 255],
+            [224, 255, 8], [102, 8, 255], [255, 61, 6], [255, 194, 7],
+            [255, 122, 8], [0, 255, 20], [255, 8, 41], [255, 5, 153],
+            [6, 51, 255], [235, 12, 255], [160, 150, 20], [0, 163, 255],
+            [140, 140, 140], [250, 10, 15], [20, 255, 0], [31, 255, 0],
+            [255, 31, 0], [255, 224, 0], [153, 255, 0], [0, 0, 255],
+            [255, 71, 0], [0, 235, 255], [0, 173, 255], [31, 0, 255],
+            [11, 200, 200], [255, 82, 0], [0, 255, 245], [0, 61, 255],
+            [0, 255, 112], [0, 255, 133], [255, 0, 0], [255, 163, 0],
+            [255, 102, 0], [194, 255, 0], [0, 143, 255], [51, 255, 0],
+            [0, 82, 255], [0, 255, 41], [0, 255, 173], [10, 0, 255],
+            [173, 255, 0], [0, 255, 153], [255, 92, 0], [255, 0, 255],
+            [255, 0, 245], [255, 0, 102], [255, 173, 0], [255, 0, 20],
+            [255, 184, 184], [0, 31, 255], [0, 255, 61], [0, 71, 255],
+            [255, 0, 204], [0, 255, 194], [0, 255, 82], [0, 10, 255],
+            [0, 112, 255], [51, 0, 255], [0, 194, 255], [0, 122, 255],
+            [0, 255, 163], [255, 153, 0], [0, 255, 10], [255, 112, 0],
+            [143, 255, 0], [82, 0, 255], [163, 255, 0], [255, 235, 0],
+            [8, 184, 170], [133, 0, 255], [0, 255, 92], [184, 0, 255],
+            [255, 0, 31], [0, 184, 255], [0, 214, 255], [255, 0, 112],
+            [92, 255, 0], [0, 224, 255], [112, 224, 255], [70, 184, 160],
+            [163, 0, 255], [153, 0, 255], [71, 255, 0], [255, 0, 163],
+            [255, 204, 0], [255, 0, 143], [0, 255, 235], [133, 255, 0],
+            [255, 0, 235], [245, 0, 255], [255, 0, 122], [255, 245, 0],
+            [10, 190, 212], [214, 255, 0], [0, 204, 255], [20, 0, 255],
+            [255, 255, 0], [0, 153, 255], [0, 41, 255], [0, 255, 204],
+            [41, 0, 255], [41, 255, 0], [173, 0, 255], [0, 245, 255],
+            [71, 0, 255], [122, 0, 255], [0, 255, 184], [0, 92, 255],
+            [184, 255, 0], [0, 133, 255], [255, 214, 0], [25, 194, 194],
+            [102, 255, 0], [92, 0, 255]]