ultralytics 8.0.136 refactor and simplify package (#3748)

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

tests/test_cli.py

@@ -5,7 +5,7 @@ from pathlib import Path
 
 import pytest
 
-from ultralytics.yolo.utils import ONLINE, ROOT, SETTINGS
+from ultralytics.utils import ONLINE, ROOT, SETTINGS
 
 WEIGHT_DIR = Path(SETTINGS['weights_dir'])
 TASK_ARGS = [  # (task, model, data)

tests/test_engine.py

@@ -3,10 +3,10 @@
 from pathlib import Path
 
 from ultralytics import YOLO
-from ultralytics.yolo.cfg import get_cfg
-from ultralytics.yolo.engine.exporter import Exporter
-from ultralytics.yolo.utils import DEFAULT_CFG, ROOT, SETTINGS
-from ultralytics.yolo.v8 import classify, detect, segment
+from ultralytics.cfg import get_cfg
+from ultralytics.engine.exporter import Exporter
+from ultralytics.models.yolo import classify, detect, segment
+from ultralytics.utils import DEFAULT_CFG, ROOT, SETTINGS
 
 CFG_DET = 'yolov8n.yaml'
 CFG_SEG = 'yolov8n-seg.yaml'

tests/test_python.py

@@ -9,8 +9,8 @@ from PIL import Image
 from torchvision.transforms import ToTensor
 
 from ultralytics import RTDETR, YOLO
-from ultralytics.yolo.data.build import load_inference_source
-from ultralytics.yolo.utils import LINUX, ONLINE, ROOT, SETTINGS
+from ultralytics.data.build import load_inference_source
+from ultralytics.utils import LINUX, ONLINE, ROOT, SETTINGS
 
 MODEL = Path(SETTINGS['weights_dir']) / 'yolov8n.pt'
 CFG = 'yolov8n.yaml'
@@ -102,7 +102,7 @@ def test_val_scratch():
 
 def test_amp():
     if torch.cuda.is_available():
-        from ultralytics.yolo.utils.checks import check_amp
+        from ultralytics.utils.checks import check_amp
         model = YOLO(MODEL).model.cuda()
         assert check_amp(model)