## Description
This allows photon-targeting to be loaded using the same mechanism as
the rest of the WPILib libraries, fixing issues with libraries not being
able to find and load their dependent libraries.
## Meta
Merge checklist:
- [x] Pull Request title is [short, imperative
summary](https://cbea.ms/git-commit/) of proposed changes
- [x] The description documents the _what_ and _why_
- [x] 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
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.
Fixes GPL violation, the license has been missing since 2024.
This also puts licenses in as many JARs and native library archives as possible (for good measure.)
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.
Cleanup project-wide gradle configuration.
removes native dependencies from java only projects
increases readability
Pass generated headers in setup instead of modifying model
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
Bumps to a wpilib dev version, until they cut a new release. Should help address the random NPEs from the old JNI.
Co-authored-by: Chris Gerth <gerth2@users.noreply.github.com>
This uses the same time source as CSCore does for image captures, and will make latency measurements more accurate.
Co-authored-by: Banks T <btrout.dhrs@gmail.com>
