error in cmd

[mojtabat96]

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• I have searched the YOLOv5 issues and found no similar bug report.

YOLOv5 Component

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Bug

hello when I run this code i get these problems!
python detect.py --weights yolov5m.pt --source 0

C:\Users\mojta\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\cuda_init_.py:749: UserWarning: CUDA initialization: The NVIDIA driver on your system is too old (found version 9010). Please update your GPU driver by downloading and installing a new version from the URL: http://www.nvidia.com/Download/index.aspx Alternatively, go to: https://pytorch.org to install a PyTorch version that has been compiled with your version of the CUDA driver. (Triggered internally at ..\c10\cuda\CUDAFunctions.cpp:108.)
return torch._C._cuda_getDeviceCount() if nvml_count < 0 else nvml_count
detect: weights=['yolov5m.pt'], source=0, data=data\coco128.yaml, imgsz=[640, 640], conf_thres=0.25, iou_thres=0.45, max_det=1000, device=, view_img=False, save_txt=False, save_csv=False, save_conf=False, save_crop=False, nosave=False, classes=None, agnostic_nms=False, augment=False, visualize=False, update=False, project=runs\detect, name=exp, exist_ok=False, line_thickness=3, hide_labels=False, hide_conf=False, half=False, dnn=False, vid_stride=1
fatal: cannot change to 'C:\Users\mojta\OneDrive\Desktop\New': No such file or directory
YOLOv5 2024-7-4 Python-3.11.1 torch-2.3.1+cu121 CPU

Traceback (most recent call last):
File "C:\Users\mojta\OneDrive\Desktop\New folder\yolov5\detect.py", line 313, in
main(opt)
File "C:\Users\mojta\OneDrive\Desktop\New folder\yolov5\detect.py", line 308, in main
run(**vars(opt))
File "C:\Users\mojta\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\mojta\OneDrive\Desktop\New folder\yolov5\detect.py", line 116, in run
model = DetectMultiBackend(weights, device=device, dnn=dnn, data=data, fp16=half)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\mojta\OneDrive\Desktop\New folder\yolov5\models\common.py", line 467, in init
model = attempt_load(weights if isinstance(weights, list) else w, device=device, inplace=True, fuse=fuse)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\mojta\OneDrive\Desktop\New folder\yolov5\models\experimental.py", line 98, in attempt_load
ckpt = torch.load(attempt_download(w), map_location="cpu") # load
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\mojta\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\serialization.py", line 1004, in load
with _open_zipfile_reader(opened_file) as opened_zipfile:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\mojta\AppData\Local\Programs\Python\Python311\Lib\site-packages\torch\serialization.py", line 456, in init
super().init(torch._C.PyTorchFileReader(name_or_buffer))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory

Environment

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Minimal Reproducible Example

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Additional

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Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

👋 Hello @mojtabat96, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

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Requirements

Python>=3.8.0 with all requirements.txt installed including PyTorch>=1.8. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

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Introducing YOLOv8 🚀

We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!

Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

Check out our YOLOv8 Docs for details and get started with:

pip install ultralytics

[glenn-jocher]

@mojtabat96 hello,

Thank you for reaching out and providing details about the issue you're encountering. It looks like there are a couple of potential problems here. Let's address them step-by-step:

1. CUDA Driver Warning:
   The warning indicates that your NVIDIA driver is outdated. Please update your GPU driver to the latest version from NVIDIA's website. This should resolve the CUDA initialization warning.

2. File Path Issue:
   The error fatal: cannot change to 'C:\Users\mojta\OneDrive\Desktop\New': No such file or directory suggests that the directory path specified does not exist. Ensure that the path to your YOLOv5 directory is correct and accessible.

3. RuntimeError: PytorchStreamReader failed reading zip archive:
   This error typically occurs when there's an issue with the model weights file (yolov5m.pt). The file might be corrupted or not downloaded correctly. Try re-downloading the weights file:

   python -m torch.hub download ultralytics/yolov5 yolov5m.pt

To help us further investigate, please provide a minimal reproducible example of your code. This will enable us to replicate the issue on our end. You can find guidance on creating a minimal reproducible example here.

Additionally, ensure you are using the latest versions of torch and the YOLOv5 repository. You can update them using the following commands:

pip install --upgrade torch
git pull https://github.com/ultralytics/yolov5

If the issue persists after trying these steps, please share the updated error messages and any additional details.

Thank you for your cooperation, and we look forward to assisting you further!