Closed kraster010 closed 1 year ago
👋 Hello @kraster010, 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.
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Python>=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
YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):
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To check the training job is finished or not, you can check on the generated log file, results.csv, located on runs/train/your_prj/results.csv. The last index on epoch
column indicates the last trained epoch. If the index equals to your epoch setting - 1, that means the training is completed.
thanks
@kraster010 you're welcome! If you have any more questions or need further assistance, feel free to ask. Good luck with your YOLOv5 automation!
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Question
Currently we are automating yolov5 training using ansible. We have external factors that could cause training to be interrupted. There is a way to check programmatically if the last training job is finished or not in order to resume it if necessary?
Thanks
Additional
repository version: v7.0