pylon-ros-camera
Camera Driver
A ROS2 driver providing access to camera functionality from Basler GigE Vision and USB3 Vision cameras.
The official pylon ROS driver for Basler GigE Vision and USB3 Vision cameras:
147 stars
10 watching
151 forks
Language: C++
last commit: about 2 months ago
Linked from 1 awesome list
ly0n/awesome-robotic-toolingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 klintan/ros2_usb_camera | A ROS2 node that captures and streams video from USB cameras using OpenCV. | 85 |
 ros-drivers/pointgrey_camera_driver | ROS driver for Pt. Grey cameras using the FlyCapture2 SDK. | 128 |
 orbbec/ros_astra_camera | ROS wrapper for Orbbec 3D cameras allowing camera control and data access | 72 |
 ros2/ros_astra_camera | A ROS2 wrapper that provides camera interface using an Astra camera | 9 |
| ros-drivers/velodyne | Provides ROS support for Velodyne 3D LIDARs | 658 |
 stereolabs/zed-ros2-wrapper | Provides ROS 2 integration with ZED cameras for various sensing tasks | 164 |
 universalrobots/universal_robots_ros2_driver | ROS2 driver for interacting with Universal Robots robots | 441 |
 ros-perception/vision_opencv | Provides a bridge between ROS 2 image messages and OpenCV image representation for real-time computer vision applications | 564 |
| ros-drivers/ros2_ouster_drivers | Provides ROS 2 interfaces for Ouster lidar sensors | 139 |
 astralien3000/riot-ros2 | Enables ROS2 to run on microcontrollers using RIOT and NDN protocol. | 24 |
 nerian-vision/nerian_stereo | Provides a ROS driver node for interfacing with stereo vision sensors from Nerian Vision Technologies. | 7 |
| stereolabs/zed-ros2-examples | Provides examples and tutorials to integrate ZED cameras with the ROS 2 framework | 37 |
 ros-controls/ros2_controllers | Provides general-purpose robotic controllers compatible with the ROS2 framework | 390 |
 waveform80/picamera | Provides a pure Python interface to access the Raspberry Pi camera module | 1,572 |
 ros-industrial/easy_perception_deployment | A ROS2 package that accelerates the deployment of Computer Vision models in industrial settings. | 55 |