## 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
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_, including events
that led to this PR
- [ ] 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 all settings going back to the previous seasons's last release
(seasons end after champs ends)
- [ ] If this PR touches pipeline settings or anything related to data
exchange, the frontend typing is updated
- [x] If this PR addresses a bug, a regression test for it is added
---------
Co-authored-by: Matt M <matthew.morley.ca@gmail.com>
The old GPIO abstraction was replaced with
[`diozero`](https://www.diozero.com), which supports most hardware
running Linux due to its use of GPIO character devices provided by the
Linux kernel. `diozero` also supports [alternate
providers](https://www.diozero.com/concepts/providers.html#providers) if
for some reason the character device API is insufficient. Certain
capabilities outside of the character device API is also implemented for
common hardware.
Custom GPIO commands are implemented via a custom `diozero` provider.
The configuration for custom GPIO will need manually updated according
to the Hardware Config documentation page.
The status LED class was also reworked to support additional statuses or
LED indication types, although none have been added yet.
This was tested on a RPi 5 with LL3 illumination LEDs and an RGB status
led attached. All capabilities worked as expected. All 8 status LED
colors were tested and functional via modifying the code. Basic
functionality of custom GPIO was tested with dummy commands.
Add support for the old opencv charuco board like calibio.
Add support for other tag families while calibrating.
Fix calibration issue index out of range with charuco missing points.
Add charuco calibration to photonvision. Currently does not support generating custom charuco boards. This does not support https://calib.io/pages/camera-calibration-pattern-generator. Currently only supports the 4X4_50 family. Also removes all dotboard calibration. Fixes using the lowest possible fps while doing calibration (now uses the highest fps available for each resolution).
* Serialize all calibration data
* Run lint
* typing nit
* fix code
* move these tables around some
* Add cool formatting
* add request to get snapshots by resolution and camera
* re-enable all resolutions
* add wip so i can change computers (SQUASH ME AND KILL ME AHHHH)
* Get everything working but viewing snapshots
* Update RequestHandler.java
* Update CameraCalibrationInfoCard.vue
* Update CameraCalibrationInfoCard.vue
* add observation viewer
* round
* fix illiegal import
* Swap to PNG and serialize insolution
* move import/export buttons TO THE TOP
* Update WebsocketDataTypes.ts
* Add snapshotname to observation
* Refactor to serialize snapshot image itself
* Run lint
* Use new base64 image data in info card
* Update SettingTypes.ts
* Create calibration json -> mrcal converter script
* Update calibrationUtils.py
* Fix calibrate NPEs in teest
* Run lint
* Always run cornersubpix
* Update CameraCalibrationInfoCard.vue
Update CameraCalibrationInfoCard.vue
* Update OpenCVHelp.java
* Update OpenCVHelp.java
* Replace test mode camera JSONs
* Run wpiformat
* Revert intrinsics but keep other data
* Remove misc comments
* Rename JsonMat->JsonImageMat and add calobject_warp
* Update Server.java
* Rename cameraExtrinsics to distCoeffs
* fix typing issues
* use util methods
* Formatting fixes
* fix styling
* move to devTools
* remove unneeded or unused imports
* Remove fixed-right css
If its really that big of a deal, we can add it back later, kind of a drag to fix rn.
* Create util method
* Remove extra legacy calibration things
---------
Co-authored-by: Sriman Achanta <68172138+srimanachanta@users.noreply.github.com>
