PowerPlaySleeveDetection
Pathfinder2
PowerPlaySleeveDetection | Pathfinder2 | |
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5 | 6 | |
29 | 13 | |
- | - | |
10.0 | 1.5 | |
over 1 year ago | about 1 year ago | |
Java | Java | |
MIT License | GNU General Public License v3.0 only |
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PowerPlaySleeveDetection
- Best way to do camera vision
- Ready to give up on Vuforia/Tensorflow lite.
- Webcam in autonomous
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OpenCV to detect color
Link to it is here: https://github.com/KookyBotz/PowerPlaySleeveDetection
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PowerPlay Signal Sleeve Detection Template
You can access the repository here, along with the download for the signal sleeve. Instructions and instillation for EOCV is attached as well, so if you haven't setup EOCV before, you will be able to quickly. NOTE: SDK8.0+ is required.
Pathfinder2
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Guys we got auton working!
i proudly proclaim this “the pathfinder shuffle”
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Why is roadrunner hated on?
i don’t hate roadrunner, but i do have an alternative - pathfinder2, a library i’ve been working on for about a year now that’s pretty similar in functionality. my team decided we weren’t going to use roadrunner because we wanted to improve the accuracy of positional tracking over time and wanted to have more control over how we could control our movement. roadrunner isn’t a bad thing - it still works pretty well and i’ve seen a lot of teams make use of it - roadrunner doesn’t appear to be in as active of development as it was before and i personally wanted a solution that was easier to use and more robust, but using roadrunner won’t mean you can’t perform well
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how do you all feel about the physical barrier?
i feel you on that. i've spent nearly a year working on a library for odometry-based autonomous navigation - our robot was capable of navigating around a field entirely autonomously - and it's quite disappointing that all of that work has no use in my last year in the FTC program. i know the change is for the better, but i feel like i've wasted a lot of time and energy
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Robot localization with on-motor encoders
hey, i just figured i’d put this out here in case it helps: meccanum wheels, by nature, have a LOT of slip - that’s how they’re able to move in any direction. i’ve had quite a bit of experience with the math and kinematic behind this (two libraries i’ve written/am writing, Pathfinder and Pathfinder2, as well as a library the other programmer on my team wrote, OdometryCore) and it’s VERY HARD to accurately track the position of a meccanum robot only using the encoders in the wheels. it’s not impossible, but it’s very, very challenging. the more your robot moves, the less accurate it becomes, and it will very quickly report positions that are nowhere near where your robot actually is. you can go for it, but i would strongly encourage you check out three wheel odometry instead - it’s been very accurate and allowed us to do really cool things, like accurately record a robot’s movement and play it back perfectly. you’ll have much more success with three wheel odometry - my team designed a custom odometry system and i’m sure they’d be happy to give you more information if you’d like. best of luck :)
What are some alternatives?
ultimategoal - Robot code for the 2020-21 FTC game, Ultimate Goal.
QDriverStation - Cross-platform clone of the FRC Driver Station
EOCV-Sim - Develop, test, and tune your EasyOpenCV pipelines directly on your computer with a simple GUI !
photonvision - PhotonVision is the free, fast, and easy-to-use computer vision solution for the FIRST Robotics Competition.
Pathfinder - Pathfinding, odometry, trajectory generation, and a whole lot of swag.
EOCV-Sim - FTC Library EasyOpenCV simulator for testing vision pipelines in a computer
allwpilib - Official Repository of WPILibJ and WPILibC
OdometryCore - Odometry Core Tracking Algorithm Written in Java
ThorCore - A library for FTC
javabot-2022 - A Java rewrite and improvement of Team 2539's 2022 robot code.