Files
PhotonVision/photon-lib/src/main/java/org/photonvision/estimation/VisionEstimation.java
amquake 816bbca2f1 [photonlib] Simulation robustness (#874)
- `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
2023-07-23 18:32:36 -07:00

127 lines
5.4 KiB
Java

/*
* MIT License
*
* Copyright (c) PhotonVision
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
package org.photonvision.estimation;
import edu.wpi.first.apriltag.AprilTag;
import edu.wpi.first.apriltag.AprilTagFieldLayout;
import edu.wpi.first.math.Matrix;
import edu.wpi.first.math.geometry.Pose3d;
import edu.wpi.first.math.geometry.Transform3d;
import edu.wpi.first.math.geometry.Translation3d;
import edu.wpi.first.math.numbers.*;
import java.util.ArrayList;
import java.util.List;
import java.util.Objects;
import java.util.stream.Collectors;
import org.photonvision.targeting.PhotonTrackedTarget;
import org.photonvision.targeting.TargetCorner;
public class VisionEstimation {
/** Get the visible {@link AprilTag}s which are in the tag layout using the visible tag IDs. */
public static List<AprilTag> getVisibleLayoutTags(
List<PhotonTrackedTarget> visTags, AprilTagFieldLayout tagLayout) {
return visTags.stream()
.map(
t -> {
int id = t.getFiducialId();
var maybePose = tagLayout.getTagPose(id);
return maybePose.map(pose3d -> new AprilTag(id, pose3d)).orElse(null);
})
.filter(Objects::nonNull)
.collect(Collectors.toList());
}
/**
* Performs solvePNP using 3d-2d point correspondences of visible AprilTags to estimate the
* field-to-camera transformation. If only one tag is visible, the result may have an alternate
* solution.
*
* <p><b>Note:</b> The returned transformation is from the field origin to the camera pose!
*
* <p>With only one tag: {@link OpenCVHelp#solvePNP_SQUARE}
*
* <p>With multiple tags: {@link OpenCVHelp#solvePNP_SQPNP}
*
* @param cameraMatrix The camera intrinsics matrix in standard opencv form
* @param distCoeffs The camera distortion matrix in standard opencv form
* @param visTags The visible tags reported by PV
* @param tagLayout The known tag layout on the field
* @return The transformation that maps the field origin to the camera pose. Ensure the {@link
* PNPResults} are present before utilizing them.
*/
public static PNPResults estimateCamPosePNP(
Matrix<N3, N3> cameraMatrix,
Matrix<N5, N1> distCoeffs,
List<PhotonTrackedTarget> visTags,
AprilTagFieldLayout tagLayout) {
if (tagLayout == null
|| visTags == null
|| tagLayout.getTags().size() == 0
|| visTags.size() == 0) {
return new PNPResults();
}
var corners = new ArrayList<TargetCorner>();
for (var tag : visTags) corners.addAll(tag.getDetectedCorners());
var knownTags = getVisibleLayoutTags(visTags, tagLayout);
if (knownTags.size() == 0 || corners.size() == 0 || corners.size() % 4 != 0) {
return new PNPResults();
}
// single-tag pnp
if (visTags.size() == 1) {
var camToTag =
OpenCVHelp.solvePNP_SQUARE(
cameraMatrix, distCoeffs, TargetModel.kTag16h5.vertices, corners);
if (!camToTag.isPresent) return new PNPResults();
var bestPose = knownTags.get(0).pose.transformBy(camToTag.best.inverse());
var altPose = new Pose3d();
if (camToTag.ambiguity != 0)
altPose = knownTags.get(0).pose.transformBy(camToTag.alt.inverse());
var o = new Pose3d();
return new PNPResults(
new Transform3d(o, bestPose),
new Transform3d(o, altPose),
camToTag.ambiguity,
camToTag.bestReprojErr,
camToTag.altReprojErr);
}
// multi-tag pnp
else {
var objectTrls = new ArrayList<Translation3d>();
for (var tag : knownTags) objectTrls.addAll(TargetModel.kTag16h5.getFieldVertices(tag.pose));
var camToOrigin = OpenCVHelp.solvePNP_SQPNP(cameraMatrix, distCoeffs, objectTrls, corners);
if (!camToOrigin.isPresent) return new PNPResults();
return new PNPResults(
camToOrigin.best.inverse(),
camToOrigin.alt.inverse(),
camToOrigin.ambiguity,
camToOrigin.bestReprojErr,
camToOrigin.altReprojErr);
}
}
}