Working on gstreamer pipeline with nvidia elements.
Pipeline 1: video file as input and get bounding box predictions.
Pipeline 2: After post-processing logic, get frame by frame, encode video and save to file
Trying to implement the following method.
- Can we allocate memory and store
gstreamer nvbufferto new GPU memory without copying to CPU ? the new GPU memory will be used in pipeline 2.
- Do we have example code for achieving this using deepstream-python?
- Can we achieve this using
NvBufSufacepython APIs ?