Update app.py

app.py

@@ -164,13 +164,13 @@ if image_file is not None:
     plt.imsave("predict.png",predicted_rgb)
     
     predict1 = cv2.resize(predicted, (img.shape[1], img.shape[0]), interpolation=cv2.INTER_LANCZOS4)
-
+    decay_masks = detect_decays_static_th(img, predict1)
+    
     mask = np.uint8(predict1 * 255)
     _, mask = cv2.threshold(mask, thresh=255/2, maxval=255, type=cv2.THRESH_BINARY)
     cnts, hierarchy = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
     img = cv2.drawContours(img, cnts, -1, (0, 0, 255), 2)
     
-    decay_masks = detect_decays_static_th(img, mask)
     mask = np.uint8(decay_mask * 255)
     _, mask = cv2.threshold(mask, thresh=255/2, maxval=255, type=cv2.THRESH_BINARY)
     cnts, hierarchy = cv2.findContours(mask, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)