> there is a problem if the found tags are a valid one plus an invalid tag, so eg it sees a tag but finds noise on the wall, and so lists tags 2 and 15. Lines 90-99 will ignore tag 15, and put 4 corners into the list. It will get past the test on line 100 (there are 4 corners). BUT then at line 106, there are 2 entries in visTags, so it will go to the "else" and try to use solvePNP_SQPNP().
* fix an issue where the fov isnt reset on error
* Fix issue with incorrectly reading fov on update
* Properly handle NPE in case of error
* Fix issue with vuetify comps not converting strings to numbers
* Formatting fixes
- `PNPResults` can now be empty (`isPresent` = false)
- solvePNP methods actually handle errors and return empty `PNPResults`
- This reveals an odd error where some inputs to `solvePNP_SQUARE()` resulted in an estimated transform with NaN values, and attempts to handle it
- Overwrites java changes from #817 since #742 had duplicate fixes
- Minor bugfixes
This reverts commit 013ff5e, which caused crashes with libcamera cameras.
More testing required to root-cause and fix this PR, but rolling back for testing for now.
### What does this do?
- Deprecates previous sim classes
- Has a `CameraProperties` class for describing a camera's basic/calibration info, and performance values for simulation. Calibration values can be loaded from the `config.json` in the settings exported by photonvision.
- `OpenCVHelp` provides convenience functions for using opencv methods with wpilib/photonvision classes, mainly to project 3d points to a camera's 2d image and perform solvePnP with the above camera calibration info.
- `TargetModel`s describe the 3d shape of a target, both for projecting into the camera's 2d image and use in solvePnP.
- `PhotonCameraSim` uses camera properties to simulate how 3d targets would appear in its view, and has simulated noise, latency, and FPS. For apriltags, the best/alternate camera-to-target transform is also estimated with solvePnP.
- `VideoSimUtil` has helper functions for drawing apriltags to a simulated raw and processed MJPEG stream for each camera using the projected tag corners.
- `VisionSystemSim` stores `VisionTargetSim`s and `PhotonCameraSim`s, and is periodically updated with the robot's simulated pose. When updating, camera sims are automatically processed and published with their visible targets from their respective poses with proper latency.
### What's still not working?
- Mac Arm builds are broken
- More examples
- Update website/docs
Serializes settings using a sqlite database instead of just putting them on the filesystem. Ideally since sqlite deals with filesystem robustness stuff this should work a lot better
Merging this now so we have lots of time to stabilize pre-beta
Fixes leftover bugs from #767 and #856
- Because new URLs aren't based on hash URL schemas, all the routes need to be updated to final paths instead of relative ones that were previously caught by the hash URL
- Fixed misc Vue warnings pointed out by @mcm001
