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如图,从模型构建到推理整个流程都是根据08-Advance/StreamAndAsync/main.py中执行
使用参数:
nB,nC,nH,nW = 8,64,128,128 nCOut,nKernelHeight,nKernelWidth = 64,9,9
与视频中多流的预期结果有很大差距
实验环境为windows11+TensorRT8.6+3070ti
请问应该如何调整才能实现如视频中多流的效果一致?
The text was updated successfully, but these errors were encountered:
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如图,从模型构建到推理整个流程都是根据08-Advance/StreamAndAsync/main.py中执行
使用参数:
2. Calculation-bound
nB,nC,nH,nW = 8,64,128,128
nCOut,nKernelHeight,nKernelWidth = 64,9,9
与视频中多流的预期结果有很大差距
实验环境为windows11+TensorRT8.6+3070ti
请问应该如何调整才能实现如视频中多流的效果一致?
The text was updated successfully, but these errors were encountered: