If there are more than 10 queued results,
PhotonCamera.getAllUnreadResults() would resize two arrays at least once
each.
## Meta
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## Description
The version of settings that needs to be compatible is last years, in
this case 2025.
## Meta
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Fix numerous places where using AutoCloseable objects without closing
them.
Changes:
- Upgrade JUnit from 5.10.0 to 5.11.4 (so `@AutoClose` can be used)
- Use `Files.copy()` to copy files
- Use try-with-resources when calling `Files.list()` or `Files.walk()`
- Use try-with-resources or `@AutoClose` to close `PhotonCamera` and
`PhotonCameraSim` objects created by tests
- Update `SQLConfigTest` to use `@TempDir`
## Meta
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## Description
It's unused and fails when run, so I'm removing it.
## Meta
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## Description
After #1991, the program state was always resent in an attempt to
simplify logic, but this had the side effect of causing the settings UI
to reset periodically when the hostname check was performed. This
restores the original logic in #1791 to check for differences in the
conflict state, and to only send the program state if it's changed.
## Meta
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## Description
This prevents jobs from failing on forks of the repo.
Closes#1975.
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## Description
Previously, NetworkManager would happily go asking for networkmanager to
do things even if it wasn't installed. This should never be the case,
but we should bail out early if it is regardless IMO. This prevents logs
and the UI from looking suspiciously "working", if you ignore the exit
code. Up for debate if we actually need this feature.
## Meta
Merge checklist:
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---------
Co-authored-by: Craig Schardt <crschardt@fastem.com>
## Description
See #2026 for the previous iteration of this PR.
This adds the RKNN model trained on the COCO dataset as one of the
models shipped with PV. This model is fairly general, and has been
trained to identify a number of objects, including people, animals,
cars, and more. This model is meant for teams to test object detection,
particularly for teams who might not have access to the game elements
that our other models are trained on.
It additionally acknowledges Ultralytics for the model, and includes the
AGPL copyleft license.
## Meta
Merge checklist:
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## Description
It's nice to be able to filter PRs by what components they've modified.
The 5 labels that have been selected are `frontend`, `backend`,
`documentation`, `photonlib`, and `website`, since those are the primary
components in the monorepo.
## Meta
Merge checklist:
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This reverts commit 753123844b.
## Description
The COCO dataset contains images that use the NC and/or ND variants of
the CC license, and distributing a model based on that dataset is most
likely a violation of licenses. Additionally, the model is licensed under AGPL,
which might be a concern for PhotonVision, and at a minimum, there's no
license file bundled with the model right now.
## Meta
Merge checklist:
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## Description
This adds the RKNN model trained on the COCO dataset as one of the
models shipped with PV. This model is fairly general, and has been
trained to identify a number of objects, including people, animals,
cars, and more. This model is meant for teams to test object detection,
particularly for teams who might not have access to the game elements
that our other models are trained on.
## 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
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This adds support for PNP_DISTANCE_TRIG_SOLVE in the the python
PhotonPoseEstimator, mirroring the implementation in the Java
PhotonPoseEstimator.
Changes:
- Add PoseStrategy.PNP_DISTANCE_TRIG_SOLVE
- Add addHeadingData() and resetHeadingData() to PhotonPoseEstimator
- Fix PhotonCameraSim.process() to set ntReceiveTimestampMicros in the
result
- Minor readability improvements to PhotonPipelineResult
- Minor test improvements to PhotonPoseEstimatorTest
- Add .vscode/settings.json (to make running python tests in VSCode
easier)
Merge checklist:
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---------
Co-authored-by: Sam948-byte <samf.236@proton.me>
