Update app.py

app.py

@@ -4,8 +4,65 @@ import numpy as np
 from flask import Flask, render_template
 
 # A placeholder function; Actual LiveWire code would be much more involved
-def live_wire_segmentation(image, points):
+#def live_wire_segmentation(image, points):
     # This is a placeholder. Implement actual live wire segmentation here.
+#    return image
+
+
+import cv2
+import numpy as np
+
+def compute_cost(image):
+    gradient_x = cv2.Sobel(image, cv2.CV_64F, 1, 0, ksize=3)
+    gradient_y = cv2.Sobel(image, cv2.CV_64F, 0, 1, ksize=3)
+    gradient_magnitude = cv2.magnitude(gradient_x, gradient_y)
+    return gradient_magnitude
+
+def dijkstra(cost, start, end):
+    # Dimensions of the image
+    h, w = cost.shape
+    visited = np.zeros((h, w), dtype=np.bool_)
+    distance = np.full((h, w), np.inf)
+    parent = np.zeros((h, w, 2), dtype=np.int16)  # to store the path
+    
+    distance[start[1], start[0]] = 0
+    for _ in range(h * w):
+        min_distance = np.inf
+        for y in range(h):
+            for x in range(w):
+                if not visited[y, x] and distance[y, x] < min_distance:
+                    u = (x, y)
+                    min_distance = distance[y, x]
+        
+        visited[u[1], u[0]] = True
+        
+        # Check neighbors
+        for i in [-1, 0, 1]:
+            for j in [-1, 0, 1]:
+                if 0 <= u[1] + i < h and 0 <= u[0] + j < w:
+                    v = (u[0] + j, u[1] + i)
+                    alt = distance[u[1], u[0]] + cost[v[1], v[0]]
+                    if alt < distance[v[1], v[0]]:
+                        distance[v[1], v[0]] = alt
+                        parent[v[1], v[0]] = u
+
+    # Reconstruct path from end to start by following parents
+    path = []
+    while end != start:
+        path.append(end)
+        end = tuple(parent[end[1], end[0]])
+    path.append(start)
+    
+    return path
+
+def live_wire_segmentation(image, start, end):
+    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+    cost = compute_cost(gray)
+    path = dijkstra(cost, start, end)
+    
+    for point in path:
+        cv2.circle(image, point, 1, (0, 255, 0), -1)  # Draw path on the image
+    
     return image
 
 def main_app():