Force loads OpenCV before any OpenCV functions are used. `OpenCVLoader`
has all of its loading done in a static initializer field, so it's only
loaded once.
Also deprecates `OpenCVHelp.forceLoadOpenCV()`, since it's functionality
is the exact same.
Resolves#1803
# Overview
Previously if the coproc came up later, getProperty would return the
string literal "null", which made us print the BFW. Add tests to make
sure that we don't do that anymore by rebooting a sim coproc +
robot in a combination of different orders.
Follows a similar system to the current Protobuf implementation that helps make code more readable and expandable. Also wraps the NT topic to be more useful. Impl stuff is hidden so it can't be extended. Optimizes AT-specific classes by only serializing data when needed, won't save on size but will on time.
closes#1003
* Make MultiTagPNPResult and PNPResult singular
* add java tests
* Formatting fixes
* bring in the rest of the little stuff
* final things
* Formatting fixes
* add multisubscriber back
* Formatting fixes
* make comments better about x and y relationship
- 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>
- `PNPResults` can now be empty (`isPresent` = false)
- solvePNP methods actually handle errors and return empty `PNPResults`
- This reveals an odd error where some inputs to `solvePNP_SQUARE()` resulted in an estimated transform with NaN values, and attempts to handle it
- Overwrites java changes from #817 since #742 had duplicate fixes
- Minor bugfixes
### What does this do?
- Deprecates previous sim classes
- Has a `CameraProperties` class for describing a camera's basic/calibration info, and performance values for simulation. Calibration values can be loaded from the `config.json` in the settings exported by photonvision.
- `OpenCVHelp` provides convenience functions for using opencv methods with wpilib/photonvision classes, mainly to project 3d points to a camera's 2d image and perform solvePnP with the above camera calibration info.
- `TargetModel`s describe the 3d shape of a target, both for projecting into the camera's 2d image and use in solvePnP.
- `PhotonCameraSim` uses camera properties to simulate how 3d targets would appear in its view, and has simulated noise, latency, and FPS. For apriltags, the best/alternate camera-to-target transform is also estimated with solvePnP.
- `VideoSimUtil` has helper functions for drawing apriltags to a simulated raw and processed MJPEG stream for each camera using the projected tag corners.
- `VisionSystemSim` stores `VisionTargetSim`s and `PhotonCameraSim`s, and is periodically updated with the robot's simulated pose. When updating, camera sims are automatically processed and published with their visible targets from their respective poses with proper latency.
### What's still not working?
- Mac Arm builds are broken
- More examples
- Update website/docs
* Add pose caching to Java
* Refactor strategy fallthrough
* Hopefully add pose caching to C++
* Make Java switch same order as enum and C++ switch
* C++ absolute value in timestamp check
* Fix Java NPE
* Use `units::second_t` in timestamp
Co-authored-by: Matt <matthew.morley.ca@gmail.com>
* Expand Java unit test
* Copy comments into C++
* Add tests to C++
* Run format
* Update PhotonCamera.cpp
* Probably fix bad access exception
* a
* init timestamp
* Remove prints
---------
Co-authored-by: Matt <matthew.morley.ca@gmail.com>
Co-authored-by: Joseph Eng <joseng2358@gmail.com>
* Use List for RobotPoseEstimator constructor
* Update `RobotPoseEstimator` constructor to accept wpilib `AprilTagFieldLayout` java
* Initial cpp changes
* Java return optional from update
* Fix java test
* Clean up strategy switch
* small lint
* Actually link to vision_shared
* Fix auto optimized imports
* format
* report error
* small method changes
* format and clean up
Co-authored-by: Matt <matthew.morley.ca@gmail.com>
RobotPoseEstimator can pick the most likely pose for the robot given a number of possible poses, using a number of different strategies. Examples are still WIP.
* WIP updating sim stuff for 2023 and pose3d's
* vision system build fixups, but test not yet passing.
* WIP Sim fixups and working on testcases
* Still doesn't work, but closer
* tests pass
* removed C++ sim support
* formatting update
* adjusted target height above ground per review
* Turns out its unused
* missed example removal
