Can you provide a Yolov5 model that is not based on YAML files about yolov5 HOT 10 CLOSED

Hello @laizewei, thank you for your interest in our work! Please visit our Custom Training Tutorial to get started, and see our Google Colab Notebook, Docker Image, and GCP Quickstart Guide for example environments.

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@laizewei yes this should be possible. We use the yaml file to load multiple types of yolo models with the same pytorch code.

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Thank you!

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@laizewei you may be able to load YOLOv5 models now directly with PyTorch Hub. This way you should not have to deal with any yaml files. See https://docs.ultralytics.com/yolov5/tutorials/pytorch_hub_model_loading

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Can you offer Yolov5s.py that only use pytorch's base layer?I tried porting the libtorch version.

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Like this https://github.com/laizewei/libtorch-mobilenetv3/blob/master/MobileNet.h

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Hey
If I use Pytorch hub can I use my custom weights

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@sakshamjn no. The purpose of hub is to make official pretrained weights available in an easy to access method.

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@glenn-jocher Thanks.

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This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions.

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