From fa01f2ec9107c7dbeb01e05ef711a7a8cb08631b Mon Sep 17 00:00:00 2001 From: caTrixLiu Date: Wed, 4 Sep 2024 10:33:37 +0800 Subject: [PATCH] documentations on vision set-up not finished yet... --- README.md | 34 ++++++++++++++---- media/cameraproperties.png | Bin 0 -> 54884 bytes media/enabling multitag.webp | Bin 0 -> 288330 bytes .../frc/robot/constants/VisionConstants.java | 10 +++--- 4 files changed, 32 insertions(+), 12 deletions(-) create mode 100644 media/cameraproperties.png create mode 100644 media/enabling multitag.webp diff --git a/README.md b/README.md index d6ddcc2..1607d0c 100644 --- a/README.md +++ b/README.md @@ -54,9 +54,9 @@ We also offer a convenient feature that automatically generates the [Advantage S ## Setup Guide - ### CTRE Chassis - 1. Generate [TunerConstants.java](https://github.com/Shenzhen-Robotics-Alliance/Maple-Swerve-Skeleton/blob/main/src/main/java/frc/robot/constants/TunerConstants.java) Using [CTRE's Swerve Project Generator](https://v6.docs.ctr-electronics.com/en/latest/docs/tuner/tuner-swerve/index.html). - 2. in your IDE, replace all `private` tags with `public` - 3. delete the last two lines + 1. Generate [TunerConstants.java](https://github.com/Shenzhen-Robotics-Alliance/Maple-Swerve-Skeleton/blob/main/src/main/java/frc/robot/constants/TunerConstants.java) using [CTRE's Swerve Project Generator](https://v6.docs.ctr-electronics.com/en/latest/docs/tuner/tuner-swerve/index.html) and drop it to `src/main/java/constants/` . + 2. In vscode, use `Control` + `H` to replace all `private` tags in `TunerConstants` with `public` + 3. Delete the last two lines ``` Java // TODO: the last two lines MUST be removed public static final CommandSwerveDrivetrain DriveTrain = new CommandSwerveDrivetrain(DrivetrainConstants, FrontLeft, @@ -79,7 +79,7 @@ We also offer a convenient feature that automatically generates the [Advantage S DRIVE_MOTOR = DCMotor.getKrakenX60(1), STEER_MOTOR = DCMotor.getFalcon500(1); ``` - 5. Try Driving Your Chassis On Field!!! + 5. Try Driving Your Chassis On Field !!! - ### Rev Chassis > ⚠️ This project **supports** Rev hardware. However, it has not been tested on a physical Rev Chassis simply because **we don't have one**. If your team has an Rev Chassis and willing to test and debug our code, you are absolutely welcome and appreciated. @@ -137,7 +137,27 @@ add a new [3D Field Widget](https://github.com/Mechanical-Advantage/AdvantageSco 5. Open three [Sendable Choosers](https://docs.wpilib.org/en/stable/docs/software/dashboards/smartdashboard/choosing-an-autonomous-program-from-smartdashboard.html) in `SmartDashboard/FieldSimulation/` called `OpponentRobot1/2/3 Behavior` in the dashboard. Select `Auto Cycle` to let AI control these robots to do cycles, or select `Joystick Control Left/Right-Handed` to control them manually with another gamepad (port 1/2/3 for opponent robot 1/2/3) ## Setting Up Vision - -> TODO: documentation for custom vision odometry - +> 💡 The `subsystems/vision/apriltags` package is our team's implementation of an apriltag vision odometry, which is built on top of [Photon Vision](https://photonvision.org/). +> We've implemented [custom filtering mechanisms]() that enhance accuracy. We've also provide improved support for [6328's Log-Replay Technique](https://github.com/Mechanical-Advantage/AdvantageKit/blob/main/docs/WHAT-IS-ADVANTAGEKIT.md). +> +> ⚠️ For teams that already have a reliable vision odometry solution in place, we recommend deleting this package and continuing to use the approach that best suits your needs. +### 1. Configure PhotonVision Coprocessors +On the vision coprocessors, please [enable MultiTag](https://docs.photonvision.org/en/latest/docs/apriltag-pipelines/multitag.html#enabling-multitag) and [update the correct field layout](https://docs.photonvision.org/en/latest/docs/apriltag-pipelines/multitag.html#updating-the-field-layout) according to the [PhotonVision documentation](https://docs.photonvision.org/en/latest/docs/apriltag-pipelines/index.html). +![enabling multitag.webp](media/enabling multitag.webp) +Optionally, if you want to view the individual `camera-to-target` transform calculated by `SolvePNP` for each target during replay, please turn on `Always Do Single-Target Estimation`. *Note that this hurts performance a little.* + +### 2. Configuring Camera Constants in The Code +In `constants/VisionConstants.java`, put the infos about your camera here: +```java +public static final List photonVisionCameras = List.of( + // declare all the photon cameras here +); +``` +Example: +![cameraproperties.png](media/cameraproperties.png) +> ⚠️ TODO: Finish the rest of the documentations +### 3. Visualizing the Filtering Process During Replay Drag `AdvantageKit/RealOutputs/Odometry/ValidPoseEstimations` to `3D Poses`, make it `Blue Ghost` (this is where the robot think it is) + +### 4. 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a/src/main/java/frc/robot/constants/VisionConstants.java b/src/main/java/frc/robot/constants/VisionConstants.java index 84ecf30..b1be8c7 100644 --- a/src/main/java/frc/robot/constants/VisionConstants.java +++ b/src/main/java/frc/robot/constants/VisionConstants.java @@ -14,11 +14,11 @@ public class VisionConstants { 68, 0.6, 0.2, 1280, 720, - new Translation2d(0.2, 0), - 0.3, - Rotation2d.fromDegrees(0), - 24, - 180 // upside-down + new Translation2d(0.2, 0), // the outing position of the camera in relative to the robot center + 0.3, // the mounting height, in meters + Rotation2d.fromDegrees(0), // the camera facing, 0 is front, positive is counter-clockwise + 24, // camera pitch angle, in degrees + 180 // camera roll angle, 0 for up-right and 180 for upside-down ), new PhotonCameraProperties( "FrontLeftCam",