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👋 Hello @gitover22, thank you for your interest in YOLOv5 🚀! Please explore 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, as no MRE was provided in your initial report.
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 optimal training results.
Requirements
Python>=3.8.0 with all requirements installed, including PyTorch>=1.8. To get started:
git clone the YOLOv5 repository # clonecd into the cloned directory
pip install -r requirements.txt # install
Environments
YOLOv5 can be run in environments such as Notebooks with free GPUs, Google Cloud Deep Learning VMs, Amazon Deep Learning AMIs, and Docker Images. Please ensure your environment is up to date with all dependencies preinstalled, including CUDA, CUDNN, Python, and PyTorch.
Status
If all YOLOv5 Continuous Integration (CI) tests on GitHub Actions are currently passing, this indicates the correct operation of YOLOv5 training, validation, inference, export, and benchmarks on macOS, Windows, and Ubuntu.
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YOLOv5 Component
Validation
Bug
in MLU370 driver:cant find module
Environment
Ubuntu20.04
MLU370 M8
Minimal Reproducible Example
No response
Additional
No response
Are you willing to submit a PR?
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