High-Speed Endoscopy

The application showcases how high resolution cameras can be used to capture the scene, post-processed on GPU and displayed at high frame rate.

Requirements

This application requires:

an Emergent Vision Technologies camera (see [setup instructions]((https://docs.nvidia.com/holoscan/sdk-user-guide/emergent_setup.html)
a NVIDIA ConnectX SmartNIC with Rivermax SDK and drivers installed (see prerequisites)
a display with high refresh rate to keep up with the camera's framerate
additional setups to reduce latency

Build Instructions

Please refer to the top level Holohub README.md file for information on how to build this application.

⚠️ At this time, camera controls are hardcoded within the gxf_emergent_source extension. To update them at the application level, the GXF extension, and the application need to be rebuilt. For more information on the controls, refer to the EVT Camera Attributes Manual

Run Instructions

First, go in your build or install directory. Then, run the commands of your choice:

RDMA disabled

# C++
sed -i -e 's#rdma:.*#rdma: false#' ./applications/high_speed_endoscopy/cpp/high_speed_endoscopy.yaml \
    && sudo ./applications/high_speed_endoscopy/cpp/high_speed_endoscopy

RDMA enabled

# C++
sed -i -e 's#rdma:.*#rdma: true#' ./applications/high_speed_endoscopy/cpp/high_speed_endoscopy.yaml \
    && sudo MELLANOX_RINGBUFF_FACTOR=14 ./applications/high_speed_endoscopy/cpp/high_speed_endoscopy

ℹ️ The MELLANOX_RINGBUFF_FACTOR is used by the EVT driver to decide how much BAR1 size memory would be used on the dGPU. It can be changed to different number based on different use cases.