使用Reality Kit在相机和墙之间显示掩码
我制作了一个视频,以生成一个平面图,如果用户离墙壁太近,或者如果在相机和墙/地板之间出现任何物体,则需要在某个位置捕捉墙壁和地板,然后需要显示<强>太近在该对象上掩盖。
我尝试在session(_ session:arsession,didupdate框架:arframe)中使用rycast
方法,但我在AR方面非常新,不知道我们需要使用哪种方法。
func session(_ session: ARSession, didUpdate frame: ARFrame) {
guard let query = self.arView?.makeRaycastQuery(from: self.arView?.center ?? CGPoint.zero,
allowing: .estimatedPlane,
alignment: .any)
else { return }
guard let raycastResult = self.arView?.session.raycast(query).first
else { return }
let currentPositionOfCamera = raycastResult.worldTransform.getPosition()
if currentPositionOfCamera != .zero {
let distanceFromCamera = frame.camera.transform.getPosition().distanceFrom(position: currentPositionOfCamera)
print("Distance from raycast:",distanceFromCamera)
if (distance < 0.5) {
print("Too Close")
}
}
}
I made a video for generating a floor plan in which I need to capture the wall and floor together at a certain position if a user is too near to the wall or if any object come between the camera and wall/floor then need to show Too Close mask on that object something like display in this video.
I try to use rycast in session(_ session: ARSession, didUpdate frame: ARFrame)
method but I am very new in AR and not know which method we need to use.
func session(_ session: ARSession, didUpdate frame: ARFrame) {
guard let query = self.arView?.makeRaycastQuery(from: self.arView?.center ?? CGPoint.zero,
allowing: .estimatedPlane,
alignment: .any)
else { return }
guard let raycastResult = self.arView?.session.raycast(query).first
else { return }
let currentPositionOfCamera = raycastResult.worldTransform.getPosition()
if currentPositionOfCamera != .zero {
let distanceFromCamera = frame.camera.transform.getPosition().distanceFrom(position: currentPositionOfCamera)
print("Distance from raycast:",distanceFromCamera)
if (distance < 0.5) {
print("Too Close")
}
}
}
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I am just learning ARKit and RealityKit as well, but wouldn't your code be:
This code is adapted from
I am just learning ARKit and RealityKit as well, but wouldn't your code be:
This code is adapted from Apple's Visualizing Scene Semantics.