Comments (2)
karnikram
commented on June 3, 2024
According to this function, the first four values are the camera intrinsics (fx, fy, cx, cy). The other four values, if provided, are the distortion coefficients (k1, k2, p1, p2).
You can use any standard camera calibration toolbox to obtain these parameters for your camera.
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zachteed
commented on June 3, 2024
Yes that's correct, intrinsics followed by OpenCV camera model. I'll add some documentation of the calibration format to the readme.
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Related Issues (17)
- Some problems when running demo.py HOT 6
- Possibility of obtaining per-frame camera localization confidences HOT 2
- model generalization issues
- Trouble with installing DPViewer
- Error when implementing demo HOT 4
- Issue related to paper published and implementation HOT 4
- Call for help. It dosent work when I run demo.py with iphone datasets. HOT 3
- What is the purpose of scaling the input image to -0.5 to 1.5
- Missing Code: pops.induced_flow HOT 1
- GCC Version HOT 3
- Is it possible to support panoramic images? HOT 2
- bad result on kitti HOT 7
- How to add our own training data? HOT 1
- support RGB-D Cameras?
- error running `pip install ./DPViewer` HOT 5
- Segmentation fault when run demo and some fix HOT 2
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