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3 years ago 👋 Hello @josenxx, 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 screenshots and minimum viable code to reproduce your issue, otherwise we can not help you.
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Requirements
Python 3.8 or later with all requirements.txt dependencies installed, including torch>=1.7. To install run:
$ pip install -r requirements.txtEnvironments
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
- Google Colab and Kaggle 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
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glenn-jocher
josenxx
Before submitting a bug report, please be aware that your issue must be reproducible with all of the following, otherwise it is non-actionable, and we can not help you:
git fetch && git status -unoto check andgit pullto update repoIf this is a custom dataset/training question you must include your
train*.jpg,test*.jpgandresults.pngfigures, or we can not help you. You can generate these withutils.plot_results().🐛 Bug
A clear and concise description of what the bug is. I try to do object detection on a youtube video
To Reproduce (REQUIRED)
Input:
Output:
Expected behavior
A clear and concise description of what you expected to happen.
Should print out outputs but it just stuck there forever.
Environment
If applicable, add screenshots to help explain your problem.
Additional context
Add any other context about the problem here. I have a working installation.
(base) xiaorui@xiaorui-X570-GAMING-X:~/yolov5$ python detect.py WARNING: CPU random generator seem to be failing, disabling hardware random number generation WARNING: RDRND generated: 0xffffffff 0xffffffff 0xffffffff 0xffffffff Namespace(agnostic_nms=False, augment=False, classes=None, conf_thres=0.25, device='', exist_ok=False, img_size=640, iou_thres=0.45, name='exp', nosave=False, project='runs/detect', save_conf=False, save_txt=False, source='data/images', update=False, view_img=False, weights='yolov5s.pt') YOLOv5 🚀 v5.0-9-ge5d7122 torch 1.9.0.dev20210415+cu111 CUDA:0 (GeForce RTX 3090, 24265.1875MB)
Fusing layers... /home/xiaorui/miniconda3/lib/python3.8/site-packages/thop/vision/basic_hooks.py:31: UserWarning: Legacy tensor constructor is deprecated. Use: torch.tensor(...) for creating tensors from tensor-like objects; or torch.empty(...) for creating an uninitialized tensor with specific sizes. (Triggered internally at /pytorch/torch/csrc/utils/tensor_new.cpp:478.) m.total_ops += torch.DoubleTensor([int(total_ops)]) Model Summary: 224 layers, 7266973 parameters, 0 gradients, 17.0 GFLOPS image 1/2 /home/xiaorui/yolov5/data/images/bus.jpg: 640x480 4 persons, 1 bus, 1 fire hydrant, Done. (0.011s) image 2/2 /home/xiaorui/yolov5/data/images/zidane.jpg: 384x640 2 persons, 2 ties, Done. (0.010s) Results saved to runs/detect/exp14 Done. (0.069s) I also can process video if I download it.