• Hardware Platform: GPU • DeepStream Version: 5.0.0 • TensorRT Version: 7.0.0.11 • NVIDIA GPU Driver Version (valid for GPU only): 460.32.03 I edited the gst-nvinfer plugin to do some pre-processing before inference. I actually want to exchange the buffer for an inference on a detected bbox in …

[image] twangbarang: Is there a way to copy the data without this intermediate nvbuf_copy? Meaning in this part Depends on what you want to do. nvinfer input surfaces are either Nvidia NV12 format or RGBA format. I don’t understand why you want to read the data in this way. [image] twangb…

Please follow this thread to get the idea of what I actually want to achieve. I pass in a frame with n bboxes/object_metas. For each of those bboxes I want to create another NvBufSurface or finally GstInferFrame because I want to execute inference on those frames, not on the original ones. Hope th…

nvinfer has already implemented bbox cropping and resize, you don’t need to add the same function in this place, it will mess the flow. Please don’t touch ‘in_buf’ since you only want to do preprocessing for inference. The crop and resize happens inside convert_batch_and_push_to_input_thread(), and…

Please note the buffer I created is named inf_buf, not in_buf. I’m not trying to alter this last one. What I want, I guess thats the way to achieve what I’m seeking for, is to change GstInferFrame frame; frame.converted_frame_ptr = memory->frame_memory_ptrs[idx]; frame.scale_ratio_x = scale_ratio_…

So the questions remains: How could I create an NvBufSurface object from an cv::Mat?

[image] twangbarang: How could I create an NvBufSurface object from an cv::Mat ? You can not create a NvBufeSurface from a cv::Mat. NvBufSurface is a HW buffer(or you can say is a GPU buffer).

[image] Fiona.Chen: [image] twangbarang: How could I create an NvBufSurface object from an cv::Mat ? You can not create a NvBufeSurface from a cv::Mat . NvBufSurface is a HW buffer(or you can say is a GPU buffer). But isn’t it what people did in this thread ? I mean it has to be possibl…

Please read the code. The NvBufSurface is created with NvBufSurfaceCreateParams， memory type is NVBUF_MEM_DEFAULT. The buffer is not created from opecv. The NvBufSurface can be mapped and read by CPU.

So I’m having this now: NvBufSurface *inf_buf = nullptr; NvBufSurfaceCreateParams create_params2; create_params2.gpuId = in_surf->gpuId; create_params2.width = 112; create_params2.height = 112; create_params2.size = 0; create_params2.colorFormat = NVBUF_COLOR_FORMAT_BGR; create_params2.layo…

Populate NvBufSurface from cv::Mat

Accelerated Computing Intelligent Video Analytics DeepStream SDK

Fiona.Chen May 18, 2021, 6:42am 14

@twangbarang There is a complete sample of how to use CPU to read NvVufSurface. Please refer to the sample: DeepStream SDK FAQ - Intelligent Video Analytics / DeepStream SDK - NVIDIA Developer Forums

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Populate NvBufSurface from cv::Mat

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