Setup: GPU Tesla T4 DeepStream 5.0.1 container CUDA 10.2 TensorRT 7.0.0 and 7.1.3 Driver 450.51.06 Question Hi, TLDR: Image resizing method in pipeline yields different result with opencv/PIL, making it difficult to align offline train/eval and online deployment. Is it possible to reveal some d…

After confirmed with the development team, the interpolation-method option with nvstreammux will be available with the next version deepstream sdk. We will announce the new version when it is available. Besides, if the input sources are in the same resolution, you can set nvstreammux “width” and “…

Current nvstreammux is using “NvBufSurfTransformInter_Bilinear” method for scaling. [image] vvivvy1999: And if possible, may nvstreammux have interpolation-method option added in future, since it could perform image resize/resample when batching. We will review your request and investigate …

Hi @Fiona.Chen , thanks for the good message. Yes, in current pipeline we set nvvideoconvert before nvstreammux to rescale individual buffers which should work as configurable. However it seems a loss of performance if we further divide the NV12 to BGRA conversion and resizing into two separate nv…

[image] vvivvy1999: Edit: nppiResizeSqrPixel details for resizing 1920x1080 grayscale buffer into 960x544 use xFactor = 960.0 / 1920.0, yFactor = 544.0 / 1080.0 xShift = yShift = 0.5, interpolation = NPPI_INTER_NN <==> cv::INTER_NEAREST, identical result xShift = yShift = 0.0, interpolation …

No, just cpu version. CUDA version is not tested.

We use cudaTexture for bilinear and nearest interpolations, the other interpolations use NPP.

Thanks very much. We’ll try about cudaTexture.

About the resize method in nvvideoconvert/nvstreammux

Accelerated Computing Intelligent Video Analytics DeepStream SDK

Fiona.Chen January 20, 2021, 7:19am 6

So you are talking about opencv CUDA version?

Difference between predictions of exported TensorRT engine and PyTorch pth models

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About the resize method in nvvideoconvert/nvstreammux

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