Final fix?

inference.py

@@ -324,7 +324,6 @@ def do_tracking(all_preds, image_meter_width, image_meter_height, gp=None, max_a
 
     json_data = tracker.finalize(min_length=min_length)
 
-    print(json_data)
     return json_data
 
 

lib/fish_eye/tracker.py

@@ -109,10 +109,9 @@ class Tracker:
 
             json_data['fish'].append(fish_entry)
 
-        
+
         # filter 'fish' field by fish length
         json_data = Fish_Length.add_lengths(json_data)
-        print(json_data['fish'])
         invalid_ids = []
         if min_length != -1.0:
             new_fish = []
@@ -123,8 +122,6 @@ class Tracker:
                     invalid_ids.append(fish['id'])
             json_data['fish'] = new_fish
         
-        print(new_fish)
-        
         # filter 'frames' field by fish length
         if len(invalid_ids):
             for frame in json_data['frames']:

scripts/track_detection.py

@@ -81,10 +81,6 @@ def track(in_loc_dir, out_loc_dir, metadata_path, seq, config, verbose):
     device = select_device(device_name, batch_size=32)
     inference = torch.load(inference_path, map_location=device)
 
-    print(type(inference))
-    print(type(inference[0]))
-    print(inference[0].shape)
-
     # read detection
     with open(json_path, 'r') as f:
         detection = json.load(f)
@@ -100,10 +96,7 @@ def track(in_loc_dir, out_loc_dir, metadata_path, seq, config, verbose):
         for sequence in json_object:
             if sequence['clip_name'] == seq:
                 image_meter_width = sequence['x_meter_stop'] - sequence['x_meter_start']
-                image_meter_height = sequence['y_meter_stop'] - sequence['y_meter_start']
-
-    print(metadata_path)
-    print(image_meter_height)
+                image_meter_height = sequence['y_meter_start'] - sequence['y_meter_stop']
 
     outputs = do_suppression(inference, conf_thres=config['conf_threshold'], iou_thres=config['nms_iou'], verbose=verbose)
 
@@ -116,7 +109,6 @@ def track(in_loc_dir, out_loc_dir, metadata_path, seq, config, verbose):
 
     results = do_tracking(all_preds, image_meter_width, image_meter_height, min_length=config['min_length'], max_age=config['max_age'], iou_thres=config['iou_threshold'], min_hits=config['min_hits'], verbose=verbose)
 
-    print(results)
     mot_rows = []
     for frame in results['frames']:
         for fish in frame['fish']: