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Serving YOLOV8 three times faster than PyTorch CUDA
Feb. 14, 2024, 1:43 p.m. | /u/ivan_kudryavtsev
Computer Vision www.reddit.com
* PyTorch CUDA + OpenCV;
* PyTorch CUDA + Torchaudio (hardware decoding with NVDEC);
* Savant (TensorRT, hardware decoding with NVDEC).
Savant demonstrated threefold performance versus naive PyTorch CUDA + OpenCV and more than twofold versus PyTorch CUDA + Torchaudio. The numbers are for GeForce RTX 2080 and Intel Core i5-8600K CPU @ 3.60GHz / 32 GB RAM.
|**Benchmark**|**FPS**|**Improvement**|
|:-|:-|:-|
|Pytorch CUDA + OpenCV|75|0.294| …
benchmark computervision cuda decoding faster hardware opencv performance pytorch tensorrt yolov8
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