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PNSCalibrationTools

The output of the optical calibration is compatible with:

The output of the between-sensor calibration provides local unity pose of sensor i which is supposed to be the child of the sensor 0. Index of the sensor is given by the order provided in command line arguments.

Dependencies

  • Python packages: PySide6, opencv, pyrealsense2, numpy, scipy
  • SDK libraries (copy only files for devices that you would like to use):
    • Ultraleap - copy Ultraleap\LeapSDK\lib\x64\LeapC.dll to PNSCalibrationTools\src\utils\libs\ultraleap
    • Xvisio - copy dlls from XSlamSDK-rc\lib to PNSCalibrationTools\src\utils\libs\xvisio
    • Antilatency - copy AntilatencySDK dlls to PNSCalibrationTools\src\utils\libs\antilatency

Optical calibration

  1. Open a command prompt and change the current working directory to PNSCalibrationTools\src
  2. Run command python v2Widget.py
  3. In the opened window select a device that you would like to use for the optical calibration (device needs to be already connected to the PC)
  4. Change display index so the second black window would appear on PNS screens (PNS needs to be already connected to the PC)
  5. Click on Create mask and wait for procedure to finish (a mask image should appear in the bottom area)
  6. Click on Measure width bits and wait for procedure to finish (a gradient image should appear in the bottom area)
  7. Click on Measure height bits and wait for procedure to finish (a new gradient image should appear in the bottom area)
  8. Click on Fit a 3D polynomial and wait for procedure to finish (a charuco board should appear in the bottom area)
  9. Set File name and click on Save. This will save the calibration output to the target file.
  10. Update your Unity project with the new calibration data (if you're using the forked version of the MixedRealityToolkit-Unity, simply replace V2Out.json file in Assets\V2Renderer\Data).

Between-sensor calibration

  1. Open a command prompt and change the current working directory to PNSCalibrationTools\src
  2. Run command python betweenSensor.py -s SENSORS where SENSORS is a space separated list of sensors
  3. Show a printed Aruco marker with the id 5 and a length of 10cm (other lengths can be configured via -l switch) to the sensors from different positions
  4. Hit q
  5. Update your Unity project with the new calibration data (if you're using the forked version of the MixedRealityToolkit-Unity, simply update the positions and rotations of the designated scene objects with the printed values).

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