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).
Fixes bug where switching tabs/etc causes buildup of connected mjpg streams in network, eventually slowing down streams and causing stream failure until refresh. Accomplishes this by directly setting the source of stream elements to null before unmount, allowing chrome/edge to close the connection.
Fixes#1106
* Disable camera orientation option when camera is calibrated.
* Flip logic on if camera is calibrated when disabling camera orientation rotation
* Add comment on why orientation is disabled when camera is calibrated
* Add v banner warning regarding rotating calibrated camera bug
* Run lint
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Co-authored-by: Matt <matthew.morley.ca@gmail.com>
Our current code matches cameras in this order (which I think is objectively wrong and stupid)
- by-id (/dev/v4l/by-id/product-string)
- by path (/dev/videoN)
- product string/name, but ascii only
- asks cscore to reconnect to cameras using `path`, which on linux is actually /dev/videoN. This isn't guaranteed to stick to a camera if you replug them weirdly at runtime.
This is silly and does not consider the actual physical usb port. I propose instead, in this order:
- By physical usb port path and base name
- by physical usb port path and USB VID/PID
- By base name only (with a toggle switch to disable this, and create a new VisionModule instead)
- Give cscore /dev/video/by-path on Linux systems, pinning Photon USBCameras to a particular usb port once created.
This changes lots of things so stay paranoid!
* Sort object detection results and reduce code dup.
* Filter objdet results by ratio and area
* Address code review
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Co-authored-by: Mohammad Durrani <46766905+mdurrani808@users.noreply.github.com>
* commented controls that should depend on networkingIsDisabled
* add the thing
* fix Manage Device Networking showing disabled
* commented controls that should depend on networkingIsDisabled
* add the thing
* fix Manage Device Networking showing disabled
* Hide the settings that aren't available when networking is disabled
* Update NetworkingCard.vue
* Update NetworkingCard.vue
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Co-authored-by: Sriman Achanta <68172138+srimanachanta@users.noreply.github.com>
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
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Co-authored-by: Sriman Achanta <68172138+srimanachanta@users.noreply.github.com>
UI would say that every camera on a Pi device was a CSI camera basically. It would not let you rotate usb cameras 90 degrees or 270 degrees because it thought that they were CSI cameras. Fixes: #1098
Allows logging software and live data view to see results. Also removes the requirement for AScope to keep up with the packet serde schema and instead just use the Protobuf descriptor.
* Record standard deviations for multi-tag pose
* Add XYZ translation and angle to stdev uI
* create multitag result buffer in store
allows results to be stored in the background
* simplify logic in targeting tab
also adds a reset button
* Formatting fixes
* convert rad angles to deg
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Co-authored-by: Sriman Achanta <68172138+srimanachanta@users.noreply.github.com>
- 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
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Co-authored-by: amquake <noleetarrr@gmail.com>
- Fixes ArUco on picam
- Adds `ArucoPoseEstimatorPipe` for single-tag pose estimation
- Previously, `Aruco.estimatePoseSingleMarkers()` was used for tag pose estimation. This uses the default `SOLVEPNP_ITERATIVE` solver and I believe the method is removed in opencv 4.8. The `SOLVEPNP_IPPE_SQUARE` solver implemented is more appropriate for markers.
- Pipeline architecture cleanup
- Re-enables ArUco pipeline in UI
- Multi-tag support
ArUco detector support is still considered experimental at this time. This should enable a baseline of support for initial testing, but expect some quirks to remain across platforms.
closes#965
Had to disable the eslint rule that was causing the bug.
Disallows disabling driver mode when there are no other pipelines to swap to
Also adds icons for saving and canceling name edits
Adds the option to create a new pipeline in driver mode if there are no other pipelines
Adds disable prop to the driver mode switch on the camera settings page
