Update app.py

app.py

@@ -47,6 +47,8 @@ def process_frame(image):
     
     predicted_depth = model(input_tensor).predicted_depth
     depth_map = predicted_depth.squeeze().cpu().numpy()
+    num_bins = 1000
+    depth_map = np.digitize(depth_map, bins=np.linspace(depth_map.min(), depth_map.max(), num_bins)) - 1
     unique_values = np.unique(depth_map)
     print(f"Number of unique depth values: {len(unique_values)}")
     depth_map = (depth_map - depth_map.min()) / (depth_map.max() - depth_map.min())