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👋 Hello @CPrasa, thank you for your interest in YOLOv5 🚀! Converting a .pt PyTorch model to a .pth file is an interesting question.
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Requirements
Ensure you are using Python>=3.8.0 and have all required dependencies installed, including PyTorch>=1.8. To set up YOLOv5:
git clone the repository from the source# clonecd into the yolov5 directory
pip install required dependencies listed in requirements.txt
Environments
YOLOv5 can run on various verified environments including Jupyter Notebooks with free GPU runtime, cloud platforms like Google Cloud or AWS, or in a Docker environment with pre-installed dependencies.
Status
You can check the status of YOLOv5's integrations, including training, validation, and inference workflows, to ensure functionality is operational.
This is an automated response to help guide you, but no worries—a human Ultralytics engineer will take a closer look and assist you further soon! 😊
@CPrasa yes, a .pt PyTorch model can be converted to a .pth file as both formats are interchangeable and represent serialized PyTorch models. You can achieve this by loading the .pt model using PyTorch and saving it directly as a .pth file using torch.save. Here's an example:
importtorch# Load the .pt modelmodel=torch.load('model.pt')
# Save as .pthtorch.save(model, 'model.pth')
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Question
Is possible to converting a .pt PyTorch model to a .pth file ?
Additional
No response
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