add a turorial, isarsoft/deploy yolov4 with triton
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@ -19,10 +19,11 @@ All the models are implemented in pytorch or mxnet first, and export a weights f
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## Tutorials
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- [A guide for quickly getting started, taking lenet5 as a demo.](./tutorials/getting_started.md)
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- [Frequently Asked Questions (FAQ)](./tutorials/faq.md)
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- [Migrating from TensorRT 4 to 7](./tutorials/migrating_from_tensorrt_4_to_7.md)
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- [How to implement multi-GPU processing, taking YOLOv4 as example](./tutorials/multi_GPU_processing.md)
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- [Check if Your GPU support FP16/INT8](./tutorials/check_fp16_int8_support.md)
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- [Frequently Asked Questions (FAQ)](./tutorials/faq.md)
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- [Deploy YOLOv4 with Triton Inference Server](https://github.com/isarsoft/yolov4-triton-tensorrt)
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## Test Environment
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