* Serialize all calibration data
* Run lint
* typing nit
* fix code
* move these tables around some
* Add cool formatting
* add request to get snapshots by resolution and camera
* re-enable all resolutions
* add wip so i can change computers (SQUASH ME AND KILL ME AHHHH)
* Get everything working but viewing snapshots
* Update RequestHandler.java
* Update CameraCalibrationInfoCard.vue
* Update CameraCalibrationInfoCard.vue
* add observation viewer
* round
* fix illiegal import
* Swap to PNG and serialize insolution
* move import/export buttons TO THE TOP
* Update WebsocketDataTypes.ts
* Add snapshotname to observation
* Refactor to serialize snapshot image itself
* Run lint
* Use new base64 image data in info card
* Update SettingTypes.ts
* Create calibration json -> mrcal converter script
* Update calibrationUtils.py
* Fix calibrate NPEs in teest
* Run lint
* Always run cornersubpix
* Update CameraCalibrationInfoCard.vue
Update CameraCalibrationInfoCard.vue
* Update OpenCVHelp.java
* Update OpenCVHelp.java
* Replace test mode camera JSONs
* Run wpiformat
* Revert intrinsics but keep other data
* Remove misc comments
* Rename JsonMat->JsonImageMat and add calobject_warp
* Update Server.java
* Rename cameraExtrinsics to distCoeffs
* fix typing issues
* use util methods
* Formatting fixes
* fix styling
* move to devTools
* remove unneeded or unused imports
* Remove fixed-right css
If its really that big of a deal, we can add it back later, kind of a drag to fix rn.
* Create util method
* Remove extra legacy calibration things
---------
Co-authored-by: Sriman Achanta <68172138+srimanachanta@users.noreply.github.com>
* Make MultiTagPNPResult and PNPResult singular
* add java tests
* Formatting fixes
* bring in the rest of the little stuff
* final things
* Formatting fixes
* add multisubscriber back
* Formatting fixes
* make comments better about x and y relationship
### 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
