Update app.py

app.py

@@ -136,7 +136,7 @@ def analyze(image):
         elif length <= thresholds[2]: color = colors[2]
         elif length <= thresholds[3]: color = colors[3]
         else: color = colors[4]
-        cv2.drawContours(color_mask, [box], 0, color, 5)
+        cv2.drawContours(color_mask, [box], 0, color, 8)
 
     fig2 = plt.figure(figsize=(6, 6))
     plt.imshow(cv2.cvtColor(color_mask, cv2.COLOR_BGR2RGB))
@@ -153,7 +153,7 @@ def analyze(image):
     plt.imshow(label_img, cmap="gray")
     if len(centroids) >= 3:
         tri = Delaunay(centroids)
-        plt.triplot(centroids[:, 1], centroids[:, 0], tri.simplices.copy(), color="red")
+        plt.triplot(centroids[:, 1], centroids[:, 0], tri.simplices.copy(), color="red", linewidth=1)
         for simplex in tri.simplices:
             for i in range(3):
                 pt1 = centroids[simplex[i]]