Update app.py

app.py

@@ -188,6 +188,8 @@ def do_prediction(model_name, img):
     
             img_h_page = img.shape[0]
             img_w_page = img.shape[1]
+
+            print(img.shape, img_h_page,img_w_page)
             img = img / float(255.0)
             img = resize_image(img, img_height_model, img_width_model)
 
@@ -203,7 +205,8 @@ def do_prediction(model_name, img):
             _, thresh = cv2.threshold(imgray, 0, 255, 0)
             #thresh = cv2.dilate(thresh, KERNEL, iterations=3)
             contours, _ = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
-            
+
+            print(len(contours),'ggg')
             if len(contours)>0:
                 cnt_size = np.array([cv2.contourArea(contours[j]) for j in range(len(contours))])
                 cnt = contours[np.argmax(cnt_size)]