Yolov5 inference ready model support

lexical-yoda commented 1 year ago

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Question

Is there any way to convert the trained yolov5 model on custom data to be exported into a single pytorch model that can be loaded and inferred with a simple torch.load model object

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github-actions[bot] commented 1 year ago

👋 Hello @lexical-yoda, 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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Introducing YOLOv8 🚀

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Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

Check out our YOLOv8 Docs for details and get started with:

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glenn-jocher commented 1 year ago

@lexical-yoda yes, you can convert your trained YOLOv5 model on custom data into a single PyTorch model that can be loaded and used for inference with just a torch.load model object.

To achieve this, you can use the export.py script provided in the YOLOv5 repository. This script allows you to export a trained model into various formats, including TorchScript and ONNX.

For exporting to a TorchScript model, you can run the following command:

python export.py --weights path/to/weights.pt --img size --batch 1

Replace path/to/weights.pt with the path to your trained YOLOv5 weights file. The --img size flag specifies the input image size, and --batch 1 sets the batch size to 1.

After running the export script, you will get a yolov5s.torchscript.pt file that you can load using torch.jit.load and use for inference.

Please note that the exported model will be in a TorchScript format, not exactly a single PyTorch model file. However, you can use it in your code as a model object and perform inference as desired.

Feel free to reach out if you have any further questions or need additional assistance.

github-actions[bot] commented 1 year ago

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