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AI View Depth camera📖
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  • 20.urdf model introduction
  • 21.gazebo introduction
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5.ROS1-Mediapipe course
  • 1.Hand detection
  • 2.Posture detection
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6.ROS+Opencv application
  • 1.Camera calibration
  • 2.QR code
  • 3.Human body pose estimation
  • 4.Target detection
  • 5.ROS+Opencv basics
  • 6.Face recognition
  • 7.Harris corner detection
  • 8.Target tracking algorithm
  • 9.Contour moment
  • 10.Polygon outline
  • 11.Discrete Fourier transform algorithm
  • 12.Edge detection algorithm
  • 13.Face detection algorithm
  • 14.Optical flow detection algorithm
  • 15.Contour detection
  • 16.General contour detection
  • 17.Feature point tracking
  • 18.HLS color filtering
  • 19.Hough circle detection
  • 20.Hough line detection
  • 21.HSV color filtering
  • 22.LK optical flow algorithm
  • 23.Human body detection algorithm
  • 24.Phase-related displacement detection
  • 25.Image pyramid sampling algorithm
  • 26.RGB color filtering
  • 27.Clear background detection algorithm
  • 28.Simplified optical flow algorithm
  • 29.Simple filter
  • 30.Threshold image processing
  • 31.Watershed segmentation algorithm
  • 32.View point cloud data
  • 33.AR vision
  • 34.AR QR code tracking
  • 35.Color tracking
  • 36.Object tracking
07.ROS2-camera usage course
  • Instructions for using camera
08.ROS2-basic course
  • 1.Introduction to ROS2
  • 2.ROS2 install Humble
  • 3.ROS2 development environment
  • 4.ROS2 workspace
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  • 12.ROS2 meta-function package
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  • 17.ROS2 rviz2 use
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  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
09.ROS2-OpenCV course
  • 1. ROS+opencv application
  • 2. QR code creation and recognition
  • 3. AR vision
10.ROS2-Mediapipe course
  • 1.Hand detection
  • 2.Posture detection
  • 3.Overall detection
  • 4.Face detection
  • 5.Personal insurance identification
11.ROS2-Depth camera course
  • 1. Use of depth camera
  • 2. Camera internal parameter calibration
  • 3. Color tracking
  • 4. KCF object tracking
  • 5. ORB_SLAM2 basics
  • 6. ORB_SLAM2 PCL mapping
  • 7. ORB_SLAM2 Octomap mapping
12.Bracket installation video
  • Bracket installation video
Download
  • VM_ROS1
  • VM_ROS2
  • Code-ROS1
  • Code-ROS2
  • 3D_File
  • ROS_Basic_VM
Download ZIP

Welcome to AI View Depth camera repository

Instructions for using camera

1. Camera usage instructions

1. Error when using opencv and usb_cam to drive the camera

After using the launch command in the Orbbec_SDK function package to drive the camera, you will find that the camera cannot be driven by usb_cam, and the error shown in the figure below will be reported.

image-20231017155922348

Solution: Re-plug the camera, and then use usb_cam to open the camera normally, including using opencv to open the camera. If the above error occurs, re-plug it. As long as the camera is driven by launch in Orbbec_SDK first and before using opencv to drive the camera, you need to re-plug it.

2. Virtual machine case demonstration

The case in the virtual machine contains SDKs for multiple cameras. Therefore, when matching the case in the virtual machine experiment tutorial, you need to set the car camera file through the ~/.bashrc file. You need to set [CAMERA_TYPE] to the purchased camera model. Assuming that the camera purchased is astraproplus, you need to change the value of [CAMERA_TYPE] to astraproplus. Terminal input,

xxxxxxxxxx
sudo gedit ~/.bashrc

[CAMERA_TYPE] is set to gemoni.

Save and exit, restart a terminal, and the terminal will print out the set camera type,

image-20231106154918353

3. Source code description

We provide two sets of source code, one is the source code of the camera SDK only, and the other is the code of the camera SDK and some demos in the tutorial.

OrbbecSDK_ROS2.tar.xz contains only the function package for driving the camera.

orbbec_ws_src.tar.xz contains the function package for driving the camera and the function package for running the demo with the virtual machine.

yahboomcar_ros2_ws.zip is the basic function package of ros2.

Object tracking
Introduction to ROS2

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