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Number of Classes #10054
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👋 Hello @mathur01, 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. If this is a custom training ❓ Question, please provide as much information as possible, including dataset images, training logs, screenshots, and a public link to online W&B logging if available. For business inquiries or professional support requests please visit https://ultralytics.com or email support@ultralytics.com. RequirementsPython>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started: git clone https://github.com/ultralytics/yolov5 # clone
cd yolov5
pip install -r requirements.txt # install EnvironmentsYOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
StatusIf 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. |
@mathur01 load a model normally and then follow the usage examples in the PyTorch Hub tutorial to filter the classes you want: Tutorials
Good luck 🍀 and let us know if you have any other questions! |
Thanks for quick help. It worked. |
@mathur01 you're welcome! I'm glad to hear it worked for you. If you have any other questions or need further assistance, feel free to ask. Good luck with your project! |
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When i am running
model = torch.hub.load('ultralytics/yolov5', 'yolov5s', classes=10)
Getting this error
Main idea is to use only 1 class instead of all 80 classes. I need only one class should be predicted.
Additional
No response
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