always return contour

dan/predict/attention.py

@@ -112,7 +112,7 @@ def get_predicted_polygons_with_confidence(
     start_index = 0
     for text_piece, confidence in zip(text_list, confidence_list):
         start_index += len(text_piece) + offset
-        polygon = get_polygon(
+        polygon, _ = get_polygon(
             text_piece, max_value, offset, weights, size=(width, height)
         )
         polygon["text"] = text_piece
@@ -220,14 +220,13 @@ def threshold(mask, method="otsu", thresh=0):
     return bin_mask
 
 
-def get_polygon(text, max_value, offset, weights, size=None, return_contours=False):
+def get_polygon(text, max_value, offset, weights, size=None):
     """
     Gets polygon associated with element of current text_piece, indexed by offset
     :param text: Text piece selected with offset after splitting DAN prediction
     :param max_value: Maximum "attention intensity" for parts of a text piece, used for normalization
     :param offset: Offset value to get the relevant part of text piece
     :param size: Target size (width, height) to resize the coverage vector
-    :param return_contours: Return the contour of the current polygon (used for plotting)
     """
     # Compute coverage vector
     coverage_vector = compute_coverage(text, max_value, offset, weights, size=size)
@@ -239,9 +238,7 @@ def get_polygon(text, max_value, offset, weights, size=None, return_contours=Fal
     contours, _ = cv2.findContours(bin_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
 
     if not contours:
-        if return_contours:
-            return {}, None
-        return {}
+        return {}, None
 
     # Select best contour
     metrics = [compute_contour_metrics(coverage_vector, cnt) for cnt in contours]
@@ -257,10 +254,7 @@ def get_polygon(text, max_value, offset, weights, size=None, return_contours=Fal
     }
     simplified_contour = np.expand_dims(np.array(coord, dtype=np.int32), axis=1)
 
-    if return_contours:
-        return polygon, simplified_contour
-
-    return polygon
+    return polygon, simplified_contour
 
 
 def plot_attention(