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ultralytics 8.0.162 Multi-GPU DDP fix (#4544)

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Co-authored-by: Yonghye Kwon <developer.0hye@gmail.com>
Co-authored-by: andresinsitu <andres.rodriguez@ingenieriainsitu.com>
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Glenn Jocher 2023-08-24 13:13:49 +02:00 • committed by GitHub
parent 1db9afc2e5
commit 2bcee56e70
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9 changed files with 24 additions and 14 deletions
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2
tests/test_cli.py
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@ -63,7 +63,7 @@ def test_export(model, format):
def test_rtdetr(task='detect', model='yolov8n-rtdetr.yaml', data='coco8.yaml'):
# Warning: MUST use imgsz=640
run(f'yolo train {task} model={model} data={data} imgsz=640 epochs=1 cache=disk')
run(f'yolo train {task} model={model} data={data} imgsz=640 epochs=1, cache = disk') # add coma, space to args
run(f"yolo predict {task} model={model} source={ASSETS / 'bus.jpg'} imgsz=640 save save_crop save_txt")

4
tests/test_python.py
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@ -145,13 +145,13 @@ def test_val():
def test_train_scratch():
model = YOLO(CFG)
model.train(data='coco8.yaml', epochs=2, imgsz=32, cache='disk', batch=-1, close_mosaic=1)
model.train(data='coco8.yaml', epochs=2, imgsz=32, cache='disk', batch=-1, close_mosaic=1, name='model')
model(SOURCE)
def test_train_pretrained():
model = YOLO(WEIGHTS_DIR / 'yolov8n-seg.pt')
model.train(data='coco8-seg.yaml', epochs=1, imgsz=32, cache='ram', copy_paste=0.5, mixup=0.5)
model.train(data='coco8-seg.yaml', epochs=1, imgsz=32, cache='ram', copy_paste=0.5, mixup=0.5, name=0)
model(SOURCE)