## Description
Presently, any tests using our old configs happen in place. This is
problematic, as it changes the files themselves. This means that anyone
running the tests will cause unintentional modifications, which stand a
chance of being committed and merged into main. We want these old
database files to remain untouched, thus we copy them to a temp
directory prior to running our tests.
## Meta
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that led to this PR
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is updated
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## Description
Previously, when attempting to load a model that did not follow the old
naming pattern that was in the models directory, we caused PV to crash
due to a missing early return (reproducable on this branch with the
extra bonus ML model and missing label file):
```
[2026-02-01 17:35:15] [Config - NeuralNetworkModelManager] [ERROR] Model properties are null. This could mean the config for model /home/matth/photonvision/test-resources/old_configs/2025.3.1-old-nnmm/models/iCauseProblems.rknn was unable to be found in the database. Trying legacy...
[2026-02-01 17:35:15] [Config - NeuralNetworkModelManager] [ERROR] Failed to translate legacy model filename to properties: /home/matth/photonvision/test-resources/old_configs/2025.3.1-old-nnmm/models/iCauseProblems.rknn: /home/matth/photonvision/test-resources/old_configs/2025.3.1-old-nnmm/models/iCauseProblems-labels.txt
SQLConfigTest > testLoadNewNNMM() FAILED
java.lang.NullPointerException: Cannot invoke "org.photonvision.common.configuration.NeuralNetworkModelsSettings$ModelProperties.toString()" because "properties" is null
at org.photonvision.common.configuration.NeuralNetworkModelManager.loadModel(NeuralNetworkModelManager.java:342)
at java.base/java.util.stream.ForEachOps$ForEachOp$OfRef.accept(ForEachOps.java:183)
```
This PR fixes it by adding the missing early-return, and adding unit
tests to make sure we handle this.
## Meta
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---------
Co-authored-by: Matt M <matthew.morley.ca@gmail.com>
## Description
#2255 introduced a new, cross-platform method for monitoring hardware
and removed the custom shell commands that had been used previously.
This PR updates the documentation to reflect the removal of those
commands from hardwareConfig.json.
## Meta
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---------
Co-authored-by: Gold856 <117957790+Gold856@users.noreply.github.com>
## Description
FRC Team 6413 ran into problems trying to write the 2026.1.1 image using
the Raspberry Pi Imager tool. After some investigation we discovered a
bug was introduced in v2.0.2 of the imager tool which prevents it from
writing the PhotonVision images to any SD card on any Windows 10 or
Windows 11 computer.
Attempting to write a custom image (.img and .img.xz) results in the
following error dialog appearing as soon as the write action is
confirmed:
<img width="684" height="483" alt="photonvisionBurnFailure202"
src="https://github.com/user-attachments/assets/5c802ef0-75f9-4056-ac1f-760dcd3605bf"
/>
Versions 2.0.0 and earlier will successfully write the image files to
the selected SD card.
## Meta
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The RubikPi collab notebook included a device for creating a quantized
model that was deprecated by the Qualcomm team. I've included a separate
cell with a command to check available devices and updated the command
to a known working state.
## Description
In https://github.com/PhotonVision/photonvision/issues/1771, we
discovered that the OV9281 on Linux seems to sometimes ignore our
exposure requests on first boot if we're in manual mode. Cycling the
camera's auto exposure with pauses in-between seems to fix it, which is
what this PR does.
Tested by [Team 2881 on
Discord](https://discord.com/channels/725836368059826228/725846784131203222/1465098110765105456);
thanks for helping us test this fix out!
## Meta
Closes https://github.com/PhotonVision/photonvision/issues/1771
Merge checklist:
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---------
Co-authored-by: Gold856 <117957790+Gold856@users.noreply.github.com>
## Description
<!-- What changed? Why? (the code + comments should speak for itself on
the "how") -->
<!-- Fun screenshots or a cool video or something are super helpful as
well. If this touches platform-specific behavior, this is where test
evidence should be collected. -->
<!-- Any issues this pull request closes or pull requests this
supersedes should be linked with `Closes #issuenumber`. -->
closes#2318closes#2319
For the 2027 game, teams might want to detect more than 10 results.
Therefore, we're increasing the limit.
We also ran into an issue with our sim, where a user can create too many
objects and cause an overflow. We implement that same limit of 50
targets here.
## Meta
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## Description
Clarifies when estimate methods return an empty optional. This also
fixes some parity issues with Constrained SolvePnP not checking the
optional returned by the heading buffer.
Resolves#2322.
## Meta
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## Description
Added specific details to the wiring section of the photonvision docs
for two wiring methods for connecting a power regulator to a
coprocessor. This aims to help prevent any possible misunderstandings of
how to wire a regulator to a coprocessor.
## Meta
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Co-authored-by: Matt Morley <matthew.morley.ca@gmail.com>
## Description
<!-- What changed? Why? (the code + comments should speak for itself on
the "how") -->
<!-- Fun screenshots or a cool video or something are super helpful as
well. If this touches platform-specific behavior, this is where test
evidence should be collected. -->
<!-- Any issues this pull request closes or pull requests this
supersedes should be linked with `Closes #issuenumber`. -->
This PR adjusts how model modification is handled. Any updates to
metadata, or deletion is handled in the frontend after sending data to
the backend. Any creation of models occurs in the backend, and we push
an update to the frontend.
This PR also fixes a typo in PhotonUtils which meant we hit the wrong
endpoint when an IP was passed into the status check.
## Meta
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## Description
On main, this pop-up lists the wrong resolution. The index in the state
is getting updated out from underneath us. The easiest solution I have
is to just cache this number.
<img width="739" height="1051" alt="image"
src="https://github.com/user-attachments/assets/a4383ea0-aa1b-4446-87f1-ece8c5ea9ad5"
/>
<img width="873" height="1116" alt="image"
src="https://github.com/user-attachments/assets/7da4cd60-f8a6-4ac6-8bc6-9f0d5c165fee"
/>
Not sure of a great way to test this, since it requires the backend
taking calibration snapshots
## Meta
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_Test what you build, deploy what you test._
This refactors the Python CI workflow to wait for _all_ tests to pass
before publishing photonlibpy to PyPI.
- build-python-examples reuses the built wheel, removes redundant builds
- Simplify run.sh to not rebuild wheel since it's already installed
## Description
Find-and-replace 2026.1.1 -> 2026.2.1. This gets us 2026 field layouts
[among other
things](https://github.com/wpilibsuite/allwpilib/releases/tag/v2026.2.1)
<!-- What changed? Why? (the code + comments should speak for itself on
the "how") -->
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well. If this touches platform-specific behavior, this is where test
evidence should be collected. -->
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supersedes should be linked with `Closes #issuenumber`. -->
## Meta
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Persuant to #1093, I added as many docstrings as I could, at least for
things I knew about. Some of the classes I just suppressed the Javadoc
warnings in because they aren't particularly useful to document. This
gets us down to less than 100 Javadoc warnings in total. Docs for core
classes on the C++ side were also added for parity.
## Description
Monitoring CPU Temperature on Windows is challenging because most
vendors don't publish this data to WMI. As a work-around, OSHI tries to
use
[LibreHardwareMonitor](https://github.com/LibreHardwareMonitor/LibreHardwareMonitor)
via
[jLibreHardwareMonitor](https://github.com/pandalxb/jLibreHardwareMonitor).
If the temperature isn't found in WMI and jLibreHardwareMonitor isn't
present, OSHI issues warnings every time `getCpuTemperature()` is
called. This clogs the console with useless information when running on
Windows and makes testing difficult.
We could include jLibreHardwareMonitor as a dependency for our Windows
jar, but LibreHardwareMonitor installs Winring0.sys, which is a kernel
level driver with an unfixed severe vulnerability. Windows defender
flags Winring0 as a vulnuratble driver and blocks it from installing.
Rather than messing with it, this PR prevents Windows systems from
calling the `getCpuTemperature()` method in OSHI.
Fixes#2280
## Meta
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---------
Co-authored-by: Gold856 <117957790+Gold856@users.noreply.github.com>
## Description
This bumps our actions to versions that use Node 24, instead of 20. Node
20 [enters EOL in April 2026](https://endoflife.date/nodejs).
This PR also includes various cleanups that should speed up CI, and make
it less complicated. This includes removing the architecture field from
setup-java, as it detects the native architecture.
We also upload our Gradle dependencies for charting in GitHub, this
helps us keep track of what we're using, and if we need to upgrade.
Finally, we bump the version of our image, to fix issues with the Rubik
Pi fan among other reasons.
continuation of #2194
supercedes #2276
## Meta
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## Description
Forces a reload after restarting PhotonVision, restarting the
coprocessor, performing an offline update, or nuking the install. We
wait until we are reconnected to the coprocessor to reload, this is
accomplished by the addition of a status API endpoint.
This is being implemented due to issues experienced when the webpage is
not updated (particularly during offline updates).
---
Using the same statusCheck, we also wait until a new IP is available,
then change to it, after changing our static IP.
---
closes#2169closes#903
## Meta
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## Description
By hitting WPIlib's Artifactory Maven Central mirror instead of Maven
Central, we should reduce the number of 403 flakes we see during
workflow runs. This also removes jogamp from the repository list, as
jogamp dependencies were removed in #1926.
## Meta
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---------
Co-authored-by: samfreund <samf.236@proton.me>
## Description
Update to use our fork of the WPILib tool plugin. WPILib has indicated
that it won't be maintained past 2026, so we're forking it under our
org. We also fixed a bug that results in native libraries for multiple
platforms being included in a jar when only the native libraries for the
platform being built should be included.
## Meta
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---------
Co-authored-by: Gold856 <117957790+Gold856@users.noreply.github.com>
Co-authored-by: samfreund <samf.236@proton.me>
## Description
Fixed in https://github.com/robotpy/mostrobotpy/pull/191. Closes#1968.
## Meta
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Instead of building photon-lib for our examples, wait until it's built
elsewhere then use that to run the examples. This means we don't have to
build photon-lib twice.
The opengraph embed requires the image to be accessible at the linked
location. As you can see by clicking on this link,
https://photonvision.org/images/PhotonVision-Icon-BG_2.png, it is not
accessible. This is because we need to configure a public directory when
we publish with vite, as the subfolders will not inherently be
published.
This PR adds a public directory and moves all our images there. I also
moved the video to a video directory rather than it being in images.
Bumps various versions in actions, as well as ensuring consistency
across workflows wrt versions used. One of the key reasons is ensuring
that we're up to date and consistent (previously having used 22.04 and
24.04), also since 3.11 is EOL.
## Description
[OSHI](https://github.com/oshi/oshi) is a free (MIT license) JNA-based
library for accessing hardware and system performance information. This
PR includes a re-write of the metrics monitoring code to be based on
OSHI. The original intent was to gain access to data about network
traffic for addition to the Settings tab. An additional benefit is that
collecting the data is now around two orders of magnitude (or more)
faster!
## Meta
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---------
Co-authored-by: samfreund <samf.236@proton.me>
