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1 month ago 👋 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.
If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.
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 # installEnvironments
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
- Notebooks with free GPU:
- Google Cloud Deep Learning VM. See GCP Quickstart Guide
- Amazon Deep Learning AMI. See AWS Quickstart Guide
- Docker Image. See Docker Quickstart Guide
Status
If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit.
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
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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?