WAS: we used raw hash-maps to encode program state
S/B: we use Jackson to do this encoding for us for free. We have
Objects, and we should use them to represent structured data.
---------
Co-authored-by: Craig Schardt <crschardt@fastem.com>
Instead of writing the kernel logs to the photonvision logs, this will
download them in the same zip file as the photonvision logs. Only includes dmesg logs from the current boot, which is fine since we should capture most of them in our logs now.
Rotate camera calibration coefficients based on camera rotation. Probably. Seems to work. Maybe.
---------
Co-authored-by: Matt <matthew.morley.ca@gmail.com>
The target list in networktables is limited to 127 items. When you
capture more than 127 calibration images it breaks this limit and errors
out and dies. Do not publish calibration targets to nt. And also move cal images into their own folder
This PR is for part 1 of #1354. It focuses on adding a model selection
interface for models that exist in `photonvision_config/models/`. Upon
completion we can ship more than 1 model and users could upload their
own through `ssh` without deleting the shipped model. This PR also adds
the abstractions need to support more DNN backends (say OpenCV, or RPI
AI Kit)
Up next is adding a CRUD interface for managing models through the UI.
Previously reported itself which was confusing. New print:
```
Error at org.photonvision.PhotonCamera.verifyVersion(PhotonCamera.java:378): Found the following PhotonVision cameras active on NetworkTables:
==> HD_Pro_Webcam_C920
==> Arducam_OV9281_USB_Camera
```
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.
Previously, if someone were changing network or camera settings while the backend sent an update request, the frontend wouldn't update the UI until the HTTP request was sent, likely leading to an error or confusion, now, values will be reset whenever new settings are sent. It also checks that settings were changed before allowing the user to click the save button.
* 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>
Resolved race condition between saveGlobal and saveOneFile modifying settings on shutdown. Previously, saveGlobal would overwrite the action of saveOneFile on a clean shutdown.
Continuation of #802
Support RGB status LED to indicate:
Running/no-running
NT connected
At least one target visible
Configured by manually uploading hardware config JSON
Removes websocket-based camera streaming functionality.
Fixes#975. This was caused by destroying the camera streams and recreating them on nickname change. Even when directly using `MJPGFrameConsumer` and the streams were exactly the same, the freeze would occur when creating a new `MjpegServer` and require a refresh. I think this is simply how cscore works?
- Aruco pipeline now infers tag width from tag family like the AprilTag pipeline
- Removes unused Aruco and 200mm AprilTag models
- `VisionEstimation.estimateCamPosePNP()` now requires a target model instead of assuming 16h5
- Multitarget pipeline similarly infers target model of tag family now
- `PhotonPoseEstimator` can have target model set for on-rio multitarget
---------
Co-authored-by: amquake <noleetarrr@gmail.com>
* fix an issue where the fov isnt reset on error
* Fix issue with incorrectly reading fov on update
* Properly handle NPE in case of error
* Fix issue with vuetify comps not converting strings to numbers
* Formatting fixes
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
Currently, there is a difficult-to-reproduce bug where the backend reports that camera calibration was successful in logs via the logger but then throws an exception causing the backend to return a 500 error code with no request body which causes the frontend to interpret this as a failed calibration attempt. This ultimately leads to the entire instance of photonvision crashing and requiring the entire pi to be restarted. It is believed this issue resides inside the ConfigManager's saving action following the calibration update but is not confirmed.
This adds a regex that ignores cameras if they match it, for if you have another piece of software running that needs a second camera, or if you have a webcam in your laptop that cscore hates.
