If I use an AppSink in Python the buffer that is received is an NVVM structure. How can the frame data be extracted from this buffer. For example for a 1080 x 1920 RBGA frame it is telling me the buffer size is 64. Any ideas?

I believe that I have solved it by using a nvideoconvert. nvideoconvert ! video/x-raw, format=RGBA ! appsink With that I get the proper sized buffer that can be read on the CPU.

Hi, It may not be possible in python. It is supported in C code. You can access the buffers through NvBuffer APIs. There is a sample and please check [image] How to run RTP Camera in deepstream on Nano DeepStream SDK Hi, We are checking the issue. Since we do not have the IP cameras you have, please help run attached app and share the print: bufferformat: NvBufferColorFormat_NV12 Please modify rtsp location in the code and execute the steps: $ export MMAPI_INCLUDE=/usr/src/tegra_multimedia_api/include $ export MMAPI_CLASS=/usr/src/tegra_multimedia_api/samples/common/classes $ export USR_LIB=/usr/lib/aarch64-linux-gnu $ g++ -Wall -std=c++11 decode.cpp -o decode $(pkg-config --cflags --libs gstreamer-app-…

If I understand correctly the functions in nvbuf_utils.h have not been exposed in the Python API. So until then it isn’t possible to extract the standard GstBuffer for the frame from the NvBuffer? Any idea when this will be made available? And how do the other standard sinks (for example filesink) work if special handling of the buffer is needed.

Python API: Using AppSink

Accelerated Computing Intelligent Video Analytics DeepStream SDK

DaneLLL April 17, 2020, 3:04am 3

Hi,
It may not be possible in python. It is supported in C code. You can access the buffers through NvBuffer APIs. There is a sample and please check

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Python API: Using AppSink

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