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Copy file name to clipboardExpand all lines: .github/CONTRIBUTING.md
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@@ -17,7 +17,7 @@ We appreciate all contributions. If you are interested in contributing to `yolor
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- If you would like to fix a bug
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- please pick one from the [list of open issues labelled as "help wanted"](https://github.com/zhiqwang/yolov5-rt-stack/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22)
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- please pick one from the [list of open issues labelled as "help wanted"](https://github.com/zhiqwang/yolort/issues?q=is%3Aopen+is%3Aissue+label%3A%22help+wanted%22)
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- comment on the issue that you want to work on this issue
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-:white_check_mark: Verify your PR is **up-to-date with upstream/main**. You could update your PR to upstream/main by running the following code, don't forget replacing 'feature' with the name of your local branch:
Copy file name to clipboardExpand all lines: .github/ISSUE_TEMPLATE/bug-report.yml
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- type: markdown
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attributes:
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#### Before submitting a bug, please make sure the issue hasn't been already addressed by searching through [the existing and past issues](https://github.com/zhiqwang/yolov5-rt-stack/issues?q=is%3Aissue+sort%3Acreated-desc+).
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#### Before submitting a bug, please make sure the issue hasn't been already addressed by searching through [the existing and past issues](https://github.com/zhiqwang/yolort/issues?q=is%3Aissue+sort%3Acreated-desc+).
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The models are also available via torch hub, to load `yolov5s` with pretrained weights simply do:
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```python
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model = torch.hub.load("zhiqwang/yolov5-rt-stack:main", "yolov5s", pretrained=True)
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model = torch.hub.load("zhiqwang/yolort:main", "yolov5s", pretrained=True)
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```
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### Loading checkpoint from official yolov5
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We love your input! Please see our [Contributing Guide](.github/CONTRIBUTING.md) to get started and for how to help out. Thank you to all our contributors! If you like this project please consider ⭐ this repo, as it is the simplest way to support us.
Copy file name to clipboardExpand all lines: deployment/tensorrt/README.md
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## Usage
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Here we will mainly discuss how to use the C++ interface, we recommend that you check out our [tutorial](https://zhiqwang.com/yolov5-rt-stack/notebooks/onnx-graphsurgeon-inference-tensorrt.html) first.
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Here we will mainly discuss how to use the C++ interface, we recommend that you check out our [tutorial](https://zhiqwang.com/yolort/notebooks/onnx-graphsurgeon-inference-tensorrt.html) first.
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