isaac_ros_dnn_stereo_depth
Hardware-accelerated, deep learned stereo disparity estimation (by NVIDIA-ISAAC-ROS)
acceleration_examples
ROS 2 package examples demonstrating the use of hardware acceleration. (by ros-acceleration)
| isaac_ros_dnn_stereo_depth | acceleration_examples | |
|---|---|---|
| 6 | 2 | |
| 63 | 39 | |
| - | - | |
| 4.5 | 6.1 | |
| 6 months ago | 7 months ago | |
| C++ | C++ | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
isaac_ros_dnn_stereo_depth
Posts with mentions or reviews of isaac_ros_dnn_stereo_depth.
We have used some of these posts to build our list of alternatives
and similar projects.
-
How would I implement this model in a Python program?
looks like you might have some more detailed instructions here: https://github.com/NVIDIA-ISAAC-ROS/isaac_ros_dnn_stereo_disparity
- Requesting help implementing Nvidia Isaac model.
- Requesting help implementing Nvidia Isaac model. [P]
acceleration_examples
Posts with mentions or reviews of acceleration_examples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-08.
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Did you know that there're more than 40 companies using the ROS 2 navigation stack? Accelerating the future of robotics navigation with the ROS 2 Nav Stack, harnessing the power of hardware to enhance the speed and accuracy of robotic navigation.
You have plenty of benchmarks at the bottom of each one of these soft-cores we offer. If what you're looking for is fully fledged ROS graphs that exemplify hardware acceleration, refer to the ROS 2 Hardware Acceleration Working Group resources (which we drive). In particular, check out the acceleration_examples repository.
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Two questions regarding compilation and simulation (execution) of the code on CPU
E.g. https://github.com/ros-acceleration/acceleration_examples
What are some alternatives?
When comparing isaac_ros_dnn_stereo_depth and acceleration_examples you can also consider the following projects:
isaac_ros_common - Common utilities, packages, scripts, Dockerfiles, and testing infrastructure for Isaac ROS packages.
community - ROS 2 Hardware Acceleration Working Group community governance model & list of projects
ros-robotics-companies - A list of robotics companies using the Robot Operating System (ROS and ROS 2).
oneAPI-samples - Samples for Intel® oneAPI Toolkits