problem in predict yolov8

[antigravity233]

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Question

Hello, i want predict my video in vehicle counting in jupyter notebook by follow tutorial in youtube and face this problem in
python predict.py model='best.pt' source='test4.mp4'
youtube link:https://www.youtube.com/watch?v=nkptX_vXJKo

[2024-05-11 13:55:22,816][root.tracker][INFO] - Loading weights from deep_sort_pytorch/deep_sort/deep/checkpoint/ckpt.t7... Done!

Ultralytics YOLOv8.2.12 🚀 Python-3.11.5 torch-2.3.0+cpu CPU (13th Gen Intel Core(TM) i5-13450HX)
Model summary (fused): 268 layers, 43614318 parameters, 0 gradients, 164.9 GFLOPs
Error executing job with overrides: ["model='best.pt'", "source='test4.mp4'"]

Traceback (most recent call last):
File "C:\Users\kingy\YOLOv8-DeepSORT-Object-Tracking-main\ultralytics\yolo\v8\detect\predict.py", line 250, in predict
predictor()
File "C:\Users\kingy\anaconda3\Lib\site-packages\ultralytics\engine\predictor.py", line 168, in call
return list(self.stream_inference(source, model, *args, **kwargs)) # merge list of Result into one
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kingy\anaconda3\Lib\site-packages\torch\utils_contextlib.py", line 35, in generator_context
response = gen.send(None)
^^^^^^^^^^^^^^
File "C:\Users\kingy\anaconda3\Lib\site-packages\ultralytics\engine\predictor.py", line 220, in stream_inference
self.setup_source(source if source is not None else self.args.source)
File "C:\Users\kingy\anaconda3\Lib\site-packages\ultralytics\engine\predictor.py", line 182, in setup_source
self.imgsz = check_imgsz(self.args.imgsz, stride=self.model.stride, min_dim=2) # check image size
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\kingy\anaconda3\Lib\site-packages\ultralytics\utils\checks.py", line 147, in check_imgsz
raise TypeError(
TypeError: 'imgsz=[640, 640]' is of invalid type ListConfig. Valid imgsz types are int i.e. 'imgsz=640' or list i.e. 'imgsz=[640,640]'

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.

Additional

No response

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[glenn-jocher]

@antigravity233 hello! It seems like there's an issue with how the image size (imgsz) is being specified. Based on the error message, you should double-check the format of the imgsz parameter in your prediction command.

From the error:

TypeError: 'imgsz=[640, 640]' is of invalid type ListConfig. Valid imgsz types are int i.e. 'imgsz=640' or list i.e. 'imgsz=[640,640]'

It suggests that the format should either be a single integer or a properly formatted list. Here’s an example of how you can format your command correctly:

python predict.py model='best.pt' source='test4.mp4' imgsz=640

or

python predict.py model='best.pt' source='test4.mp4' imgsz=[640,640]

Try adjusting this parameter, and it should resolve the issue you’re encountering. If the problem persists, ensure your model file best.pt is correctly pathed and accessible. Happy coding! 🚀