def generate_coordinates(self, vertices, normals):
# ignore the normals
# create an empty texture coord array
# dot product expects contiguous memory
# so we have 2xN shape instead of Nx2 shape
# we reshape after the dot product
texture_coords = numpy.empty((2, len(vertices)), dtype=float)
# extract our rows
tu = texture_coords[0, ...]
tv = texture_coords[1, ...]
# take our vertices and flatten them against the plane
plane_vertices = matrix.apply_direction_scale(vertices,
self.plane[plane.normal],
0.0)
right = vector.cross(self.plane[plane.normal], self.plane[plane.up])
# get the tu / tv values from our up and right vectors
numpy.dot(plane_vertices, right, out=tu)
numpy.dot(plane_vertices, self.plane[plane.up], out=tv)
# apply our scaling
tu /= self.size[0]
tv /= self.size[1]
# reshape back into our normal Nx2 shape
texture_coords = numpy.transpose(texture_coords)
return texture_coords
def apply():
# squash in the Z direction
vec = numpy.array( [ 2.0, 1.0, 25.0 ] )
direction = numpy.array( [ 0.0, 0.0, 1.0 ] )
result = matrix.apply_direction_scale(
vec,
direction,
0.0
)
self.assertTrue(
numpy.array_equal( result, [ vec[ 0 ], vec[ 1 ], 0.0 ] ),
"Scale incorrectly applied"
)
def generate_coordinates( self, vertices, normals ):
# ignore the normals
# create an empty texture coord array
# dot product expects contiguous memory
# so we have 2xN shape instead of Nx2 shape
# we reshape after the dot product
texture_coords = numpy.empty( (2, len(vertices)), dtype = float )
# extract our rows
tu = texture_coords[0,...]
tv = texture_coords[1,...]
# take our vertices and flatten them against the plane
plane_vertices = matrix.apply_direction_scale(
vertices,
self.plane[ plane.normal ],
0.0
)
right = vector.cross(
self.plane[ plane.normal ],
self.plane[ plane.up ]
)
# get the tu / tv values from our up and right vectors
numpy.dot(
plane_vertices,
right,
out = tu
)
numpy.dot(
plane_vertices,
self.plane[ plane.up ],
out = tv
)
# apply our scaling
tu /= self.size[ 0 ]
tv /= self.size[ 1 ]
# reshape back into our normal Nx2 shape
texture_coords = numpy.transpose( texture_coords )
return texture_coords
def batch_apply():
vecs = numpy.array(
[
[ 0.0, 0.0, 0.0 ],
[ 0.0, 0.0, 1.0 ],
[ 1.0, 1.0, 1.0 ],
[ 2.0, 1.0, 25.0 ]
]
)
direction = numpy.array( [ 0.0, 0.0, 1.0 ] )
result = matrix.apply_direction_scale( vecs, direction, 0.0 )
expected = numpy.array( vecs )
expected[ :,-1 ] = 0.0
self.assertTrue(
numpy.array_equal( result, expected ),
"Batch scale incorrectly applied"
)
