* add classes to targeting and update gradle
* rename me
* Finish cleanup
* Formatting fixes
* just use common.gradle
* Update build.gradle
* Update config.gradle
* remove typo
* simplify
* Add Packet Headers
* move simulation classes into simulation folder
* draw in dependency
* fix
* Everything working minus tests cause im lazy
* formatting fixes
REMEMBER TO REMOVE UNUSED IMPORTS, IM JUST TOO LAZY TO CHECK RN
* move packet test to targeting
* Formatting fixes
* remove TargetCorner from c++
im not 100% sure but just doing std::pair<double, double> is sufficient and shouldnt conflict with protobuf
* think i added packet
* fix namespace issue
* organize imports in photon-targeting
* Formatting fixes
* remove ctors
* fix typo
* Add PNP and Multitag packet tests
* revert TargetCorner class
* Add Test placeholders
* remove annoying print
* Reorganize build and publish process
channeling inner Thad
* add targeting as flag
* Update config.gradle
* fix issue with platform binaries not building
* Update photonlib.json.in
casing still needs to be checked
* add minimum level back
* add back UTF-8 encoding of javadoc
* simplify publish model for photon-lib
* fix windows symbol generation
* formatting fixes
* move task from main gradle to config
* Update config.gradle
### 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
