Update inference.py

inference.py

@@ -61,19 +61,6 @@ def do_full_inference(dataloader, image_meter_width, image_meter_height, gp=None
 
     inference = filter_detection_size(inference, image_meter_width, width, 1.5)
 
-    print(type(image_shapes))
-    print(len(image_shapes))
-    print(type(image_shapes[0]))
-    print(len(image_shapes[0]))
-    print(type(image_shapes[0][0]))
-    print(len(image_shapes[0][0]))
-    print(type(inference))
-    print(len(inference))
-    print(type(inference[0]))
-    print(len(inference[0]))
-    print(type(inference[0][0]))
-    print(inference[0][0].shape)
-
     if config.associative_tracker == TrackerType.BYTETRACK:
 
         # Find low confidence detections
@@ -229,6 +216,10 @@ def format_predictions(image_shapes, outputs, width, height, gp=None, batch_size
             if gp: gp(batch_i / len(image_shapes), pbar.__str__())
 
             batch_shapes = image_shapes[batch_i]
+            print(len(batch_shapes))
+            print(len(batch))
+            print(batch_shapes[0])
+            print(batch[0])
 
             # Format results
             for si, pred in enumerate(batch):