Looking for release team for ffmpeg image transport plugin

[ggrigor]

Image_transport_plugins vs hardware accelerated H.264 de|compression

Data driven development of perception functions requires the capture of sensor data on robot, for processing offline in DNN training, testing of DNN’s and other CV functions. Sustained recording of high frame rate sensors has high data rates which often exceeds the write speeds to storage, even when using a faster interface such as M.2 SSD on NvME. Compression of camera data can significantly reduce the data throughput needed and data footprint at rest by >=10x. Existing implementations use i…

@Bernd_Pfrommer highlighting a prior hardware acceleration issue with image transport plugin.

Quick summary is that hardware acceleration performance will be limited by CPU memcpy as the image transport plugin does not support type adaptation.

If you are working on H.264 compression in addition to JPEG, its good to align on the data format, for consistency as we’ve had incompatibility with the format used in FogROS2 for it’s H.264 format relative to what we use in Isaac ROS Image Compression.

Thanks