Open Cruiz102 opened 7 months ago
The code with the zed-ros-wrapper docker works correctly with the camera connected to the Jetson. For production we need to test if a .trt
can runs well inside the jetson host. We need to create that tensorrt engine with a model and test if it can run correctly. I am trying to experiment with a yolov5.onnx
. That needs further testing.
Found the binaries and the dependencies necessary for running tensoRT on the host. Going to create the .sh file for the volume.
Overview
The Docker image used for running the camera module is significantly larger than the memory limits of our target hardware, the Jetson-TX2. It's essential to modify the production vision Docker to align with these hardware constraints.
Proposed Solutions for Docker Optimization
In production we can remove the cuda installed by the ZED and and include the one in the host. Use a docker volume for sharing the ros noetic dependencies between others containers.
Create a bash script for automatizating all this commands and create the Documentation probably in a wiki on how this problem got resolved.