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如問題所述,請問有方法可以提升FPS至real-time等級嗎?
The text was updated successfully, but these errors were encountered:
1.Readme的演示图是部署在Rockchip RK3566芯片(相当于骁龙660左右)上的,CPU型号比较老。FPS很大程度取决于部署设备的性能。 2.目前的yolov5s模型是FP32精度,还没做量化压缩。可在这做fp16模型精度转换 https://convertmodel.com/#outputFormat=ncnn, 或者参照https://github.com/Tencent/ncnn/blob/20230517/docs/how-to-use-and-FAQ/quantized-int8-inference.md, 进行int8精度转换。都能起到加速的作用 3.可尝试训练更低规格的yolov5n模型。
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如問題所述,請問有方法可以提升FPS至real-time等級嗎?
The text was updated successfully, but these errors were encountered: