Add shared-memory TRT support and docker/launch updates#25
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Add optional SharedMemoryInference support for Jetson host<->container TensorRT setups and update node, launch, and docker-compose accordingly. - da3_inference.py: add SharedMemoryInference no-op helpers (get_gpu_memory_usage -> None, clear_cache) to reflect GPU managed by host TRT service. - depth_anything_3_node.py: add use_shared_memory parameter, import SharedMemoryInference, initialize either SharedMemoryInference (with availability checks and logs) or DA3InferenceWrapper, and improve init logging/error message. - launch/depth_anything_3.launch.py: expose a use_shared_memory launch argument and pass it to the node. - docker-compose.yml: update container commands to source ROS/workspace setup scripts on startup (including a Jetson-friendly fallback) so interactive shells have the correct environment. These changes enable an optional host TRT service integration for Jetson deployments while preserving existing local inference behavior.
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Add optional SharedMemoryInference support for Jetson host<->container TensorRT setups and update node, launch, and docker-compose accordingly.
These changes enable an optional host TRT service integration for Jetson deployments while preserving existing local inference behavior.