## Description
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the "how") -->
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Bump to wpilib 2026 beta. This does not bump our pythonlib, as robotpy
hasn't come out yet.
## Meta
Merge checklist:
- [ ] Pull Request title is [short, imperative
summary](https://cbea.ms/git-commit/) of proposed changes
- [ ] The description documents the _what_ and _why_
- [ ] This PR has been
[linted](https://docs.photonvision.org/en/latest/docs/contributing/linting.html).
- [ ] If this PR changes behavior or adds a feature, user documentation
is updated
- [ ] If this PR touches photon-serde, all messages have been
regenerated and hashes have not changed unexpectedly
- [ ] If this PR touches configuration, this is backwards compatible
with settings back to v2025.3.2
- [ ] If this PR touches pipeline settings or anything related to data
exchange, the frontend typing is updated
- [ ] If this PR addresses a bug, a regression test for it is added
---------
Co-authored-by: Gold856 <117957790+Gold856@users.noreply.github.com>
Occasionally, the sim projects are capable of simulating current draw of
over 600A, which triggers a condition in
`BatterySim::calculateDefaultBatteryLoadedVoltage` that limits the
minimum measured battery voltage to 0V (to prevent it from going
negative).
When battery voltage measures 0, this causes NaN values to propagate
through the drivetrain model, making sim inoperable. Specifically, [this
is the
line](https://github.com/PhotonVision/photonvision/blob/master/photonlib-java-examples/aimandrange/src/main/java/frc/robot/subsystems/drivetrain/SwerveDriveSim.java#L452)
that causes the initial NaN values in simulation.
This PR is posed as a patch to ensure that simulation doesn't break.
Fixes#1564. Also copies vendordep JSONs to the examples as advised by
Thad. Removes unused shared/javacpp/setupBuild.gradle. Also removes
unnecessary `chmod +x gradlew` from CI workflows.
* Fixed cpp sim apriltag layout and cleaned up cpp sim example
* changed layout for photoncamerasim
---------
Co-authored-by: Drew Williams <DrewW@iARx.com>
* 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
