我正在尝试创建一个定位器网格,这些定位器用作指定深度的maya中相机的平行有限平面上的投影点。网格应与指定的分辨率对齐,以匹配渲染的输出。
目前我的计算已经结束,我正在寻找一些帮助,以确定我的确定预测点的公式是如何不正确的。
我有一个自包含的python脚本和图像,显示了作为示例生成的定位器的当前位置。
image showing current spawned locators are off on y and z axis
import maya.cmds as mc
import maya.OpenMaya as om
res = [mc.getAttr('defaultResolution.width'),
mc.getAttr('defaultResolution.height')]
print res
grid = [5, 5]
def projectedGridPoint(camera, coord, depth, res):
selList = om.MSelectionList()
selList.add(camera)
dagPath = om.MDagPath()
selList.getDagPath(0,dagPath)
dagPath.extendToShape()
camMtx = dagPath.inclusiveMatrix()
fnCam = om.MFnCamera(dagPath)
mFloatMtx = fnCam.projectionMatrix()
projMtx = om.MMatrix(mFloatMtx.matrix)
#center of camera
eyePt = fnCam.eyePoint()
#offset position
z = eyePt.z - depth
#calculated xy positions
x = (2 * z * coord[0] / res[0]) - z
y = (2 * z * coord[1] / res[1]) - z
return om.MPoint(x,y,depth) * camMtx * projMtx.inverse()
for y in range(grid[1] + 1):
for x in range(grid[0] + 1):
coord = ( x / float(grid[0]) * res[0], y / float(grid[1]) * res[1] )
pt = projectedGridPoint('camera1', coord, 10, res)
mc.spaceLocator(a=1, p=[pt.x, pt.y, pt.z])
答案 0 :(得分:0)
我认为你想要更像这样的东西(注意,我将它转换为API 2以减少样板)
import maya.api.OpenMaya as om
import maya.cmds as cmds
def projectedGridPoint(camera, coord, depth):
selList = om.MGlobal.getSelectionListByName(camera)
dagPath = selList.getDagPath(0)
dagPath.extendToShape()
view = dagPath.inclusiveMatrix()
fnCam = om.MFnCamera(dagPath)
projection = om.MMatrix(fnCam.projectionMatrix())
viewProj = projection * view
r = om.MPoint(coord[0],coord[1], -1 * depth) * projection.inverse()
return r.homogenize() * view
xx, yy = (2, 2)
for y in range(yy):
for x in range(xx):
ndc_x = 2.0 * x / float(xx - 1) - 1
ndc_y = 2.0 * y / float(yy - 1) - 1
coord = ( ndc_x, ndc_y)
pt = projectedGridPoint('camera1', coord,0)
c,_ = cmds.polyCube(w = 0.1, d = 0.1, h = 0.1)
cmds.xform(c, t = (pt[0], pt[1], pt[2]))
coords作为标准化设备坐标(从视图的角落处的-1,-1到1,1)提供,深度从近到远的剪裁平面 - 深度为1就在靠近平面,深度为0位于远平面上。我认为在实践中我将深度锁定为0并使用相机上的剪裁平面设置来设置深度
编辑我合理化了将索引值转换为NDC坐标的原始,不稳定的方法
答案 1 :(得分:0)
一旦我调整了Theodox的答案以解决所有可能的网格划分,使得ndc_x和ndc_y始终在-1和1的范围内。我能够得到一个有效的解决方案。
import maya.api.OpenMaya as om
import maya.cmds as cmds
def projectedGridPoint(camera, coord, depth):
selList = om.MGlobal.getSelectionListByName(camera)
dagPath = selList.getDagPath(0)
dagPath.extendToShape()
view = dagPath.inclusiveMatrix()
fnCam = om.MFnCamera(dagPath)
projection = om.MMatrix(fnCam.projectionMatrix())
viewProj = projection * view
r = om.MPoint(coord[0],coord[1], -1 * depth) * projection.inverse()
return r.homogenize() * view
xx, yy = (6, 6)
for y in range(yy + 1):
for x in range(xx + 1):
ndc_x = -1
ndc_y = -1
if x > 0:
ndc_x = (x / float(xx) * 2) - 1
if y > 0:
ndc_y = (y / float(yy) * 2) - 1
coord = ( ndc_x, ndc_y)
print coord
pt = projectedGridPoint('camera1', coord, 0)
c,_ = cmds.polyCube(w = 0.1, d = 0.1, h = 0.1)
cmds.xform(c, t = (pt[0], pt[1], pt[2]))