Tested on Orange Pi 5 and Cool Pi 4B. Merge with parts of the OpenCV DNN PR.
Adds support for YOLOv5s models for Rockchip CPUs with a NPU. Right now hard coded to a note model from alex_idk. Very much still incubating and largely untested.
UI would say that every camera on a Pi device was a CSI camera basically. It would not let you rotate usb cameras 90 degrees or 270 degrees because it thought that they were CSI cameras. Fixes: #1098
* Record standard deviations for multi-tag pose
* Add XYZ translation and angle to stdev uI
* create multitag result buffer in store
allows results to be stored in the background
* simplify logic in targeting tab
also adds a reset button
* Formatting fixes
* convert rad angles to deg
---------
Co-authored-by: Sriman Achanta <68172138+srimanachanta@users.noreply.github.com>
- Aruco pipeline now infers tag width from tag family like the AprilTag pipeline
- Removes unused Aruco and 200mm AprilTag models
- `VisionEstimation.estimateCamPosePNP()` now requires a target model instead of assuming 16h5
- Multitarget pipeline similarly infers target model of tag family now
- `PhotonPoseEstimator` can have target model set for on-rio multitarget
---------
Co-authored-by: amquake <noleetarrr@gmail.com>
- Fixes ArUco on picam
- Adds `ArucoPoseEstimatorPipe` for single-tag pose estimation
- Previously, `Aruco.estimatePoseSingleMarkers()` was used for tag pose estimation. This uses the default `SOLVEPNP_ITERATIVE` solver and I believe the method is removed in opencv 4.8. The `SOLVEPNP_IPPE_SQUARE` solver implemented is more appropriate for markers.
- Pipeline architecture cleanup
- Re-enables ArUco pipeline in UI
- Multi-tag support
ArUco detector support is still considered experimental at this time. This should enable a baseline of support for initial testing, but expect some quirks to remain across platforms.
