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Update README.md
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PINTO0309 authored Nov 27, 2023
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Expand Up @@ -114,6 +114,12 @@ Lightweight human detection model generated using a high-quality human dataset.
Epoch: 339 | [email protected]: 0.7393661924683652 | [email protected]:0.95: 0.5093183767567647
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- Post-Process
Because we add our own post-processing to the end of the model, which can be inferred by TensorRT, CUDA, and CPU, the benchmarked inference speed is the end-to-end processing speed including all pre-processing and post-processing. EfficientNMS in TensorRT is very slow and should be offloaded to the CPU.
![image](https://github.com/PINTO0309/PINTO_model_zoo/assets/33194443/05e528b7-6ace-4878-94f0-ad86ac46324e)
## Cite
If this work has contributed in any way to your research or business, I would be happy to be cited in your literature.
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