Version 3.1.2
"""
Various transforms used for by the 3D code
"""
import numpy as np
import numpy.linalg as linalg
from matplotlib import cbook
[docs]@cbook.deprecated("3.1")
def line2d(p0, p1):
"""
Return 2D equation of line in the form ax+by+c = 0
"""
# x + x1 = 0
x0, y0 = p0[:2]
x1, y1 = p1[:2]
#
if x0 == x1:
a = -1
b = 0
c = x1
elif y0 == y1:
a = 0
b = 1
c = -y1
else:
a = y0 - y1
b = x0 - x1
c = x0*y1 - x1*y0
return a, b, c
[docs]@cbook.deprecated("3.1")
def line2d_dist(l, p):
"""
Distance from line to point
line is a tuple of coefficients a, b, c
"""
a, b, c = l
x0, y0 = p
return abs((a*x0 + b*y0 + c) / np.hypot(a, b))
def _line2d_seg_dist(p1, p2, p0):
"""distance(s) from line defined by p1 - p2 to point(s) p0
p0[0] = x(s)
p0[1] = y(s)
intersection point p = p1 + u*(p2-p1)
and intersection point lies within segment if u is between 0 and 1
"""
x21 = p2[0] - p1[0]
y21 = p2[1] - p1[1]
x01 = np.asarray(p0[0]) - p1[0]
y01 = np.asarray(p0[1]) - p1[1]
u = (x01*x21 + y01*y21) / (x21**2 + y21**2)
u = np.clip(u, 0, 1)
d = np.hypot(x01 - u*x21, y01 - u*y21)
return d
[docs]@cbook.deprecated("3.1")
def line2d_seg_dist(p1, p2, p0):
"""distance(s) from line defined by p1 - p2 to point(s) p0
p0[0] = x(s)
p0[1] = y(s)
intersection point p = p1 + u*(p2-p1)
and intersection point lies within segment if u is between 0 and 1
"""
return _line2d_seg_dist(p1, p2, p0)
[docs]@cbook.deprecated("3.1", alternative="np.linalg.norm")
def mod(v):
"""3d vector length"""
return np.sqrt(v[0]**2+v[1]**2+v[2]**2)
[docs]def world_transformation(xmin, xmax,
ymin, ymax,
zmin, zmax):
dx, dy, dz = (xmax-xmin), (ymax-ymin), (zmax-zmin)
return np.array([[1/dx, 0, 0, -xmin/dx],
[0, 1/dy, 0, -ymin/dy],
[0, 0, 1/dz, -zmin/dz],
[0, 0, 0, 1]])
[docs]def view_transformation(E, R, V):
n = (E - R)
## new
# n /= np.linalg.norm(n)
# u = np.cross(V,n)
# u /= np.linalg.norm(u)
# v = np.cross(n,u)
# Mr = np.diag([1.]*4)
# Mt = np.diag([1.]*4)
# Mr[:3,:3] = u,v,n
# Mt[:3,-1] = -E
## end new
## old
n = n / np.linalg.norm(n)
u = np.cross(V, n)
u = u / np.linalg.norm(u)
v = np.cross(n, u)
Mr = [[u[0], u[1], u[2], 0],
[v[0], v[1], v[2], 0],
[n[0], n[1], n[2], 0],
[0, 0, 0, 1]]
#
Mt = [[1, 0, 0, -E[0]],
[0, 1, 0, -E[1]],
[0, 0, 1, -E[2]],
[0, 0, 0, 1]]
## end old
return np.dot(Mr, Mt)
[docs]def persp_transformation(zfront, zback):
a = (zfront+zback)/(zfront-zback)
b = -2*(zfront*zback)/(zfront-zback)
return np.array([[1, 0, 0, 0],
[0, 1, 0, 0],
[0, 0, a, b],
[0, 0, -1, 0]])
def ortho_transformation(zfront, zback):
# note: w component in the resulting vector will be (zback-zfront), not 1
a = -(zfront + zback)
b = -(zfront - zback)
return np.array([[2, 0, 0, 0],
[0, 2, 0, 0],
[0, 0, -2, 0],
[0, 0, a, b]])
def _proj_transform_vec(vec, M):
vecw = np.dot(M, vec)
w = vecw[3]
# clip here..
txs, tys, tzs = vecw[0]/w, vecw[1]/w, vecw[2]/w
return txs, tys, tzs
def _proj_transform_vec_clip(vec, M):
vecw = np.dot(M, vec)
w = vecw[3]
# clip here.
txs, tys, tzs = vecw[0] / w, vecw[1] / w, vecw[2] / w
tis = (0 <= vecw[0]) & (vecw[0] <= 1) & (0 <= vecw[1]) & (vecw[1] <= 1)
if np.any(tis):
tis = vecw[1] < 1
return txs, tys, tzs, tis
[docs]@cbook.deprecated("3.1")
def proj_transform_vec_clip(vec, M):
return _proj_transform_vec_clip(vec, M)
[docs]def inv_transform(xs, ys, zs, M):
iM = linalg.inv(M)
vec = _vec_pad_ones(xs, ys, zs)
vecr = np.dot(iM, vec)
try:
vecr = vecr / vecr[3]
except OverflowError:
pass
return vecr[0], vecr[1], vecr[2]
def _vec_pad_ones(xs, ys, zs):
return np.array([xs, ys, zs, np.ones_like(xs)])
[docs]def proj_transform(xs, ys, zs, M):
"""
Transform the points by the projection matrix
"""
vec = _vec_pad_ones(xs, ys, zs)
return _proj_transform_vec(vec, M)
transform = proj_transform
[docs]def proj_transform_clip(xs, ys, zs, M):
"""
Transform the points by the projection matrix
and return the clipping result
returns txs,tys,tzs,tis
"""
vec = _vec_pad_ones(xs, ys, zs)
return _proj_transform_vec_clip(vec, M)
[docs]def proj_trans_points(points, M):
xs, ys, zs = zip(*points)
return proj_transform(xs, ys, zs, M)
[docs]@cbook.deprecated("3.1")
def proj_trans_clip_points(points, M):
xs, ys, zs = zip(*points)
return proj_transform_clip(xs, ys, zs, M)
[docs]def rot_x(V, alpha):
cosa, sina = np.cos(alpha), np.sin(alpha)
M1 = np.array([[1, 0, 0, 0],
[0, cosa, -sina, 0],
[0, sina, cosa, 0],
[0, 0, 0, 1]])
return np.dot(M1, V)