-
Notifications
You must be signed in to change notification settings - Fork 65
Calibration Checkerboard
In order to carry out calibration, you need to have a checkerboard.
Follow the instructions below carefully as improperly configured checkerboard parameters will currently cause the calibration process to just wait... for the right checkerboard.
The checkerboard must
- be made of squares with known dimensions,
- have an even number of black squares in one direction--this will form the x-axis--and an odd number of squares in the other direction, which will form the y-axis,
- be printed on rigid material, such as foam core (half-inch or thicker), Garboard or Aluminium Dibond.
The more numerous and bigger the squares, the better, as long as the checkerboard is rigid.
You can generate a pdf of your checkerboard with your desired dimensions here.
You will need the following parameters from your checkerboard to configure OPT: rows, columns, width of individual squares (cell_width), height of individual cells (cell_height). The width and height are measured in meters.
Important: The rows and cols values are not the count of rows and columns. The parameters are defined by the number of chess intersections (i.e. the number of interior vertex points in a row and in a column), not the number of squares along the edge of the checkerboard.
For example, in the image below, the count of intersections in a row (along x-axis) is 6, and the count of intersections in a column (along y-axis) is 5, so the parameters are rows=6, cols=5.
- System Requirements
- Supported Hardware
- Initial Network Configuration
- Example Hardware List for UCLA Setup
- Making the Checkerboard
- Time Synchronization
- Pre-Tracking Configuration
- Camera Network Configuration
- Single Camera
- Setting Parameters
- Multi-Sensor Person Tracking
- HOG vs YOLO Detectors
- World Coordinate Settings
- Single Camera
- Pose Initialization
- Multi Sensor Pose Annotation
- Pose Best Practices
- Setting Parameters
- Single Camera
- Setting Parameters
- Multi Sensor Object Tracking
- YOLO Custom Training & Testing
- Yolo Trainer
- Single Camera
- Setting Parameters
- Multi Sensor Face Detection and Recognition
- Face Detection and Recognition Data Format
How to receive tracking data in: