Restoring the contour in the original image caused an error due to an empty tuple. This issue has been resolved, and as expected, the confidence score for this contour is set to zero

src/eynollah/utils/contour.py

@@ -230,7 +230,6 @@ def get_textregion_contours_in_org_image_light_old(cnts, img, slope_first):
 def do_back_rotation_and_get_cnt_back(contour_par, index_r_con, img, slope_first, confidence_matrix):
     img_copy = np.zeros(img.shape)
     img_copy = cv2.fillPoly(img_copy, pts=[contour_par], color=(1, 1, 1))
-    
     confidence_matrix_mapped_with_contour = confidence_matrix * img_copy[:,:,0]
     confidence_contour = np.sum(confidence_matrix_mapped_with_contour) / float(np.sum(img_copy[:,:,0]))
 
@@ -239,9 +238,13 @@ def do_back_rotation_and_get_cnt_back(contour_par, index_r_con, img, slope_first
     ret, thresh = cv2.threshold(imgray, 0, 255, 0)
 
     cont_int, _ = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
+    if len(cont_int)==0:
+        cont_int = []
+        cont_int.append(contour_par)
+        confidence_contour = 0
+    else:
         cont_int[0][:, 0, 0] = cont_int[0][:, 0, 0] + np.abs(img_copy.shape[1] - img.shape[1])
         cont_int[0][:, 0, 1] = cont_int[0][:, 0, 1] + np.abs(img_copy.shape[0] - img.shape[0])
-    # print(np.shape(cont_int[0]))
     return cont_int[0], index_r_con, confidence_contour
 
 def get_textregion_contours_in_org_image_light(cnts, img, slope_first, confidence_matrix, map=map):