ultralytics 8.0.47 Docker and reformat updates (#1153)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

tests/test_cli.py

@@ -22,7 +22,7 @@ def test_special_modes():
 
 # Train checks ---------------------------------------------------------------------------------------------------------
 def test_train_det():
-    run(f'yolo train detect model={CFG}.yaml data=coco8.yaml imgsz=32 epochs=1')
+    run(f'yolo train detect model={CFG}.yaml data=coco8.yaml imgsz=32 epochs=1 v5loader')
 
 
 def test_train_seg():
@@ -48,7 +48,7 @@ def test_val_classify():
 
 # Predict checks -------------------------------------------------------------------------------------------------------
 def test_predict_detect():
-    run(f"yolo predict model={MODEL}.pt source={ROOT / 'assets'} imgsz=32 save")
+    run(f"yolo predict model={MODEL}.pt source={ROOT / 'assets'} imgsz=32 save save_crop save_txt")
     if checks.check_online():
         run(f'yolo predict model={MODEL}.pt source=https://ultralytics.com/images/bus.jpg imgsz=32')
         run(f'yolo predict model={MODEL}.pt source=https://ultralytics.com/assets/decelera_landscape_min.mov imgsz=32')

tests/test_python.py

@@ -162,9 +162,8 @@ def test_workflow():
 
 
 def test_predict_callback_and_setup():
-
-    def on_predict_batch_end(predictor):
-        # results -> List[batch_size]
+    # test callback addition for prediction
+    def on_predict_batch_end(predictor):  # results -> List[batch_size]
         path, _, im0s, _, _ = predictor.batch
         # print('on_predict_batch_end', im0s[0].shape)
         im0s = im0s if isinstance(im0s, list) else [im0s]