.

modules/eval.py

@@ -424,20 +424,14 @@ def generate_data(image, boxes, labels, scores, keypoints, flow_links, best_poin
             return data
 
 def develop_prediction(boxes, labels, scores, keypoints, class_dict, correction=True):
-     # Regroup elements by pool
-    print('labels:', labels)
     pool_dict, boxes, labels, scores, keypoints = regroup_elements_by_pool(boxes, labels, scores, keypoints, class_dict)
-    print('labels:', labels)
     # Create links between elements
     flow_links, best_points = create_links(keypoints, boxes, labels, class_dict)
-    print('labels:', labels)
     #Correct the labels of some sequenceflow that cross multiple pool
     if correction:
         labels, flow_links = correction_labels(boxes, labels, class_dict, pool_dict, flow_links)
-    print('labels:', labels)
     #give a link to event to allow the creation of the BPMN id with start, indermediate and end event
     flow_links = give_link_to_element(flow_links, labels)
-    print('labels:', labels)
 
     #change every datastore to dataobject [TO DO: change it to make the dataStore work]
     for i in range(len(labels)):