mirror of
https://github.com/PhotonVision/photonvision
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12446a6c44
## Description compute confidence level based on target area in total image size and populate classId and confidence level in Java (while building the PhotonTrackedTarget) ## Changes - Add new VisionTargetSim constructor for object detection - If class ID specified but confidence = -1, estimate based on total area --------- Co-authored-by: Matt Morley <matthew.morley.ca@gmail.com>
121 lines
4.2 KiB
Python
121 lines
4.2 KiB
Python
import math
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from typing import overload
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from wpimath.geometry import Pose3d, Translation3d
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from ..estimation.targetModel import TargetModel
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class VisionTargetSim:
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"""Describes a vision target located somewhere on the field that your vision system can detect."""
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@overload
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def __init__(self, pose: Pose3d, model: TargetModel) -> None:
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"""
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Describes a retro-reflective/colored shape vision target located somewhere on the field that
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your vision system can detect.
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:param pose: Pose3d of the target in field-relative coordinates
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:param model: TargetModel which describes the shape of the target
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"""
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...
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@overload
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def __init__(self, pose: Pose3d, model: TargetModel, id: int) -> None:
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"""
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Describes a fiducial tag located somewhere on the field that your vision system can detect.
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:param pose: Pose3d of the tag in field-relative coordinates
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:param model: TargetModel which describes the geometry of the target (tag)
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:param id: The ID of this fiducial tag
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"""
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...
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@overload
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def __init__(
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self, pose: Pose3d, model: TargetModel, objDetClassId: int, objDetConf: float
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) -> None:
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"""
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Describes an object-detection vision target located somewhere on the field that your vision
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system can detect.
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:param pose: Pose3d of the target in field-relative coordinates
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:param model: TargetModel which describes the shape of the target
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:param objDetClassId: The object detection class ID, or -1 to exclude from object detection
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:param objDetConf: The object detection confidence, or -1.0 to compute from target area
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in the camera's field of view
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"""
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...
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def __init__(
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self,
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pose: Pose3d,
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model: TargetModel,
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*args,
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**kwargs,
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):
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if kwargs:
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raise TypeError(
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f"VisionTargetSim does not accept keyword arguments: {list(kwargs.keys())}"
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)
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self.pose: Pose3d = pose
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self.model: TargetModel = model
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if len(args) == 0:
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# VisionTargetSim(pose, model)
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self.fiducialId: int = -1
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self.objDetClassId: int = -1
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self.objDetConf: float = -1.0
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elif len(args) == 1:
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# VisionTargetSim(pose, model, id)
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self.fiducialId = args[0]
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self.objDetClassId = -1
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self.objDetConf = -1.0
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elif len(args) == 2:
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# VisionTargetSim(pose, model, objDetClassId, objDetConf)
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self.fiducialId = -1
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self.objDetClassId = args[0]
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self.objDetConf = args[1]
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else:
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raise ValueError(
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f"VisionTargetSim takes 2-4 arguments, got {2 + len(args)}"
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)
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def __lt__(self, right) -> bool:
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return self.pose.translation().norm() < right.pose.translation().norm()
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def __eq__(self, other) -> bool:
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# Use 1 inch and 1 degree tolerance
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return (
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abs(self.pose.translation().X() - other.getPose().translation().X())
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< 0.0254
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and abs(self.pose.translation().Y() - other.getPose().translation().Y())
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< 0.0254
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and abs(self.pose.translation().Z() - other.getPose().translation().Z())
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< 0.0254
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and abs(self.pose.rotation().X() - other.getPose().rotation().X())
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< math.radians(1)
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and abs(self.pose.rotation().Y() - other.getPose().rotation().Y())
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< math.radians(1)
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and abs(self.pose.rotation().Z() - other.getPose().rotation().Z())
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< math.radians(1)
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and self.model.getIsPlanar() == other.getModel().getIsPlanar()
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)
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def setPose(self, newPose: Pose3d) -> None:
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self.pose = newPose
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def setModel(self, newModel: TargetModel) -> None:
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self.model = newModel
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def getPose(self) -> Pose3d:
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return self.pose
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def getModel(self) -> TargetModel:
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return self.model
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def getFieldVertices(self) -> list[Translation3d]:
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"""This target's vertices offset from its field pose."""
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return self.model.getFieldVertices(self.pose)
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