Update app.py

app.py

@@ -20,7 +20,8 @@ def estimate_depth(image):
         outputs = depth_model(**inputs)
         depth = outputs.predicted_depth.squeeze().cpu().numpy()
     depth = (depth - depth.min()) / (depth.max() - depth.min()) * 255
-    return depth.astype(np.uint8)
+    depth = depth.astype(np.uint8)
+    return cv2.GaussianBlur(depth, (5, 5), 0)  # Smooth depth map to reduce noise
 
 def warp_design(cloth_img, design_img):
     """Warp the design onto the clothing while preserving folds."""
@@ -36,22 +37,25 @@ def warp_design(cloth_img, design_img):
     depth_map = estimate_depth(cloth_img)
     
     # Generate displacement map based on depth
-    displacement_x = cv2.Sobel(depth_map, cv2.CV_32F, 1, 0, ksize=5)
-    displacement_y = cv2.Sobel(depth_map, cv2.CV_32F, 0, 1, ksize=5)
+    displacement_x = cv2.Sobel(depth_map, cv2.CV_32F, 1, 0, ksize=3)
+    displacement_y = cv2.Sobel(depth_map, cv2.CV_32F, 0, 1, ksize=3)
     
     # Normalize displacement values
-    displacement_x = cv2.normalize(displacement_x, None, -5, 5, cv2.NORM_MINMAX)
-    displacement_y = cv2.normalize(displacement_y, None, -5, 5, cv2.NORM_MINMAX)
+    displacement_x = cv2.normalize(displacement_x, None, -3, 3, cv2.NORM_MINMAX)
+    displacement_y = cv2.normalize(displacement_y, None, -3, 3, cv2.NORM_MINMAX)
     
     # Warp design using displacement map
     h, w, _ = cloth_np.shape
     map_x, map_y = np.meshgrid(np.arange(w), np.arange(h))
-    map_x = np.float32(map_x + displacement_x)
-    map_y = np.float32(map_y + displacement_y)
+    map_x = np.clip(np.float32(map_x + displacement_x), 0, w - 1)
+    map_y = np.clip(np.float32(map_y + displacement_y), 0, h - 1)
     warped_design = cv2.remap(design_np, map_x, map_y, interpolation=cv2.INTER_LINEAR, borderMode=cv2.BORDER_REFLECT)
     
+    # Convert warped design to match original image dtype
+    warped_design = warped_design.astype(np.uint8)
+    
     # Blend images
-    blended = cv2.addWeighted(cloth_np, 0.6, warped_design, 0.4, 0)
+    blended = cv2.addWeighted(cloth_np, 0.7, warped_design, 0.3, 0)
     return Image.fromarray(blended)
 
 def main(cloth, design):