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RTDETRDetectionModel TorchScript, ONNX Predict and Val support (#8818)

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Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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Glenn Jocher 2024-03-09 23:25:01 +01:00 • committed by GitHub
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7 changed files with 52 additions and 7 deletions
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tests/test_cli.py
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@ -65,8 +65,8 @@ def test_export(model, format):
def test_rtdetr(task="detect", model="yolov8n-rtdetr.yaml", data="coco8.yaml"):
"""Test the RTDETR functionality with the Ultralytics framework."""
# Warning: MUST use imgsz=640
run(f"yolo train {task} model={model} data={data} --imgsz= 640 epochs =1, cache = disk") # add coma, spaces to args
run(f"yolo predict {task} model={model} source={ASSETS / 'bus.jpg'} imgsz=640 save save_crop save_txt")
run(f"yolo train {task} model={model} data={data} --imgsz= 160 epochs =1, cache = disk") # add coma, spaces to args
run(f"yolo predict {task} model={model} source={ASSETS / 'bus.jpg'} imgsz=160 save save_crop save_txt")
@pytest.mark.skipif(checks.IS_PYTHON_3_12, reason="MobileSAM Clip is not supported in Python 3.12")