Update app.py

app.py

@@ -52,23 +52,24 @@ def segment_dress(image_np):
     # Combine K-means and U²-Net masks
     refined_mask = cv2.bitwise_and(mask, u2net_mask)
 
+    # Morphological operations for smoothness
+    kernel = np.ones((5, 5), np.uint8)
+    refined_mask = cv2.morphologyEx(refined_mask, cv2.MORPH_CLOSE, kernel)
+    refined_mask = cv2.GaussianBlur(refined_mask, (15, 15), 5)
+    
     return refined_mask
 
-def detect_design(image_np, dress_mask):
-    """Detect the design part of the dress and separate it from fabric."""
+def detect_design(image_np):
+    """Detects design patterns on the dress using edge detection."""
     gray = cv2.cvtColor(image_np, cv2.COLOR_RGB2GRAY)
     edges = cv2.Canny(gray, 50, 150)
-    
-    # Expand detected edges to mask the design area
-    kernel = np.ones((5, 5), np.uint8)
+    kernel = np.ones((3, 3), np.uint8)
     design_mask = cv2.dilate(edges, kernel, iterations=2)
-    
-    # Keep only the design within the dress area
-    design_mask = cv2.bitwise_and(design_mask, dress_mask)
     return design_mask
 
 def recolor_dress(image_np, mask, design_mask, target_color):
     """Change dress color while preserving texture and design."""
+    
     img_lab = cv2.cvtColor(image_np, cv2.COLOR_RGB2LAB)
     target_color_lab = cv2.cvtColor(np.uint8([[target_color]]), cv2.COLOR_BGR2LAB)[0][0]
     
@@ -87,10 +88,10 @@ def change_dress_color(image_path, color):
 
     img = Image.open(image_path).convert("RGB")
     img_np = np.array(img)
-    dress_mask = segment_dress(img_np)
-    design_mask = detect_design(img_np, dress_mask)
+    mask = segment_dress(img_np)
+    design_mask = detect_design(img_np)
     
-    if dress_mask is None:
+    if mask is None:
         return img  # No dress detected
     
     # Convert the selected color to BGR
@@ -101,8 +102,8 @@ def change_dress_color(image_path, color):
     }
     new_color_bgr = np.array(color_map.get(color, (0, 0, 255)), dtype=np.uint8)  # Default to Red
     
-    # Recolor the dress naturally
-    img_recolored = recolor_dress(img_np, dress_mask, design_mask, new_color_bgr)
+    # Recolor the dress naturally while preserving design
+    img_recolored = recolor_dress(img_np, mask, design_mask, new_color_bgr)
 
     return Image.fromarray(img_recolored)
 
@@ -115,7 +116,7 @@ demo = gr.Interface(
     ],
     outputs=gr.Image(type="pil", label="Color Changed Dress"),
     title="Dress Color Changer",
-    description="Upload an image of a dress and select a new color to change its appearance naturally while preserving the design."
+    description="Upload an image of a dress and select a new color to change its appearance naturally while preserving any design patterns."
 )
 
 if __name__ == "__main__":