Allocate gpu memory and share between gstreamer pipelines

Gaming and Visualization Technologies Video Processing & Optical Flow
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Hi all,

Working on gstreamer pipeline with nvidia elements.

Pipeline 1: video file as input and get bounding box predictions.

p1
p11841×410 7.47 KB

Pipeline 2: After post-processing logic, get frame by frame, encode video and save to file

p2
p21227×160 3.8 KB

Trying to implement the following method.

gpu_memory_copy
gpu_memory_copy1483×166 10.2 KB

  1. Can we allocate memory and store gstreamer nvbuffer to new GPU memory without copying to CPU ? the new GPU memory will be used in pipeline 2.
  2. Do we have example code for achieving this using deepstream-python?
  3. Can we achieve this using NvBufSuface python APIs ?