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.gitignore
vendored
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build
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gradientmesh/test_data/examples
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apps/results
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apps/files
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apps/__pycache__
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627
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|
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|
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|
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|
||||
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||||
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|
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CMAKE_RANLIB-ADVANCED:INTERNAL=1
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CMAKE_READELF-ADVANCED:INTERNAL=1
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||||
//Path to CMake installation.
|
||||
CMAKE_ROOT:INTERNAL=/home/kahr/Projects/bachelors_project/diffvg/.venv/lib/python3.10/site-packages/cmake/data/share/cmake-3.26
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||||
CMAKE_STRIP-ADVANCED:INTERNAL=1
|
||||
//uname command
|
||||
CMAKE_UNAME:INTERNAL=/usr/bin/uname
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//ADVANCED property for variable: CMAKE_VERBOSE_MAKEFILE
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||||
CMAKE_VERBOSE_MAKEFILE-ADVANCED:INTERNAL=1
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||||
CUDA_64_BIT_DEVICE_CODE-ADVANCED:INTERNAL=1
|
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//ADVANCED property for variable: CUDA_ATTACH_VS_BUILD_RULE_TO_CUDA_FILE
|
||||
CUDA_ATTACH_VS_BUILD_RULE_TO_CUDA_FILE-ADVANCED:INTERNAL=1
|
||||
//ADVANCED property for variable: CUDA_BUILD_CUBIN
|
||||
CUDA_BUILD_CUBIN-ADVANCED:INTERNAL=1
|
||||
//ADVANCED property for variable: CUDA_BUILD_EMULATION
|
||||
CUDA_BUILD_EMULATION-ADVANCED:INTERNAL=1
|
||||
//ADVANCED property for variable: CUDA_GENERATED_OUTPUT_DIR
|
||||
CUDA_GENERATED_OUTPUT_DIR-ADVANCED:INTERNAL=1
|
||||
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|
||||
CUDA_HOST_COMPILATION_CPP-ADVANCED:INTERNAL=1
|
||||
//ADVANCED property for variable: CUDA_NVCC_FLAGS
|
||||
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|
||||
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||||
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||||
CUDA_NVCC_FLAGS_RELWITHDEBINFO-ADVANCED:INTERNAL=1
|
||||
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|
||||
CUDA_PROPAGATE_HOST_FLAGS-ADVANCED:INTERNAL=1
|
||||
//ADVANCED property for variable: CUDA_SEPARABLE_COMPILATION
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||||
CUDA_SEPARABLE_COMPILATION-ADVANCED:INTERNAL=1
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//ADVANCED property for variable: CUDA_VERBOSE_BUILD
|
||||
CUDA_VERBOSE_BUILD-ADVANCED:INTERNAL=1
|
||||
//Details about finding Python
|
||||
FIND_PACKAGE_MESSAGE_DETAILS_Python:INTERNAL=[/usr/include/python3.11][/usr/lib64/libpython3.11.so][cfound components: Development Development.Module Development.Embed ][v3.11.3(3.7)]
|
||||
//Details about finding PythonLibs
|
||||
FIND_PACKAGE_MESSAGE_DETAILS_PythonLibs:INTERNAL=[/usr/lib64][/usr/include/python3.11][v3.11.3()]
|
||||
//Test HAS_FLTO
|
||||
HAS_FLTO:INTERNAL=1
|
||||
PYBIND11_INCLUDE_DIR:INTERNAL=/home/kahr/Projects/bachelors_project/diffvg/pybind11/include
|
||||
//ADVANCED property for variable: PYTHON_INCLUDE_DIR
|
||||
PYTHON_INCLUDE_DIR-ADVANCED:INTERNAL=1
|
||||
//ADVANCED property for variable: PYTHON_LIBRARY
|
||||
PYTHON_LIBRARY-ADVANCED:INTERNAL=1
|
||||
//ADVANCED property for variable: PYTHON_LIBRARY_DEBUG
|
||||
PYTHON_LIBRARY_DEBUG-ADVANCED:INTERNAL=1
|
||||
//linker supports push/pop state
|
||||
_CMAKE_LINKER_PUSHPOP_STATE_SUPPORTED:INTERNAL=TRUE
|
||||
//CMAKE_INSTALL_PREFIX during last run
|
||||
_GNUInstallDirs_LAST_CMAKE_INSTALL_PREFIX:INTERNAL=/usr/local
|
||||
_Python:INTERNAL=Python
|
||||
//Path to a program.
|
||||
_Python_CONFIG:INTERNAL=/usr/bin/python3.11-config
|
||||
//Compiler reason failure
|
||||
_Python_Compiler_REASON_FAILURE:INTERNAL=
|
||||
_Python_DEVELOPMENT_EMBED_SIGNATURE:INTERNAL=1ccd49388e5a8b4a61d75bca3e42d5ee
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|
||||
//Development reason failure
|
||||
_Python_Development_REASON_FAILURE:INTERNAL=
|
||||
//Path to a file.
|
||||
_Python_INCLUDE_DIR:INTERNAL=/usr/include/python3.11
|
||||
//Interpreter reason failure
|
||||
_Python_Interpreter_REASON_FAILURE:INTERNAL=
|
||||
//Path to a library.
|
||||
_Python_LIBRARY_RELEASE:INTERNAL=/usr/lib64/libpython3.11.so
|
||||
//NumPy reason failure
|
||||
_Python_NumPy_REASON_FAILURE:INTERNAL=
|
||||
//true if pybind11 and all required components found on the system
|
||||
pybind11_FOUND:INTERNAL=TRUE
|
||||
//Directory where pybind11 headers are located
|
||||
pybind11_INCLUDE_DIR:INTERNAL=/home/kahr/Projects/bachelors_project/diffvg/pybind11/include
|
||||
|
@@ -4,36 +4,21 @@ import torch
|
||||
from random import uniform
|
||||
import math
|
||||
|
||||
import pydiffvg
|
||||
from util import rgb2hex, any_map
|
||||
|
||||
from util import rgb2hex
|
||||
|
||||
class Point:
|
||||
"""2D point, optionally with control points;
|
||||
alternatively, 2-vector"""
|
||||
def __init__(self, x: float, y: float,
|
||||
controls: list[Point] = None,
|
||||
round=False):
|
||||
|
||||
if isinstance(x, torch.Tensor):
|
||||
# Convert from tensor
|
||||
x = x.item()
|
||||
y = y.item()
|
||||
|
||||
self.id = id(self)
|
||||
self.x = x
|
||||
self.y = y
|
||||
self.controls = controls or []
|
||||
|
||||
if round:
|
||||
self.round()
|
||||
|
||||
def add_control(self, control: Point):
|
||||
self.controls.append(control)
|
||||
|
||||
def add_to_patch(self, patch: Patch):
|
||||
self.patches.append(patch)
|
||||
|
||||
def as_xy(self):
|
||||
return [self.x, self.y]
|
||||
|
||||
@@ -41,27 +26,19 @@ class Point:
|
||||
self.x = int(self.x * 100) / 100.0
|
||||
self.y = int(self.y * 100) / 100.0
|
||||
|
||||
def replace(self, pt: Point):
|
||||
""""Replace (x,y) coordinates of point while maintaining pointer."""
|
||||
self.x = pt.x
|
||||
self.y = pt.y
|
||||
return self
|
||||
|
||||
def add(self, pt: Point):
|
||||
self.x += pt.x
|
||||
self.y += pt.y
|
||||
for cp in self.controls:
|
||||
cp.x += pt.x
|
||||
cp.y += pt.y
|
||||
|
||||
return self
|
||||
|
||||
def mult(self, pt: Point):
|
||||
self.x *= pt.x
|
||||
self.y *= pt.y
|
||||
for cp in self.controls:
|
||||
cp.x *= pt.x
|
||||
cp.y *= pt.y
|
||||
|
||||
def equalize(self, other):
|
||||
self.id = other.id
|
||||
return self
|
||||
|
||||
@classmethod
|
||||
def random(cls, rx=(0, 1), ry=(0, 1)):
|
||||
@@ -73,67 +50,48 @@ class Point:
|
||||
out.round()
|
||||
return out
|
||||
|
||||
def __eq__(self, other):
|
||||
return self.id == other.id
|
||||
|
||||
def __hash__(self):
|
||||
return self.id
|
||||
# Used for removing duplicate points
|
||||
return id(self)
|
||||
|
||||
def __repr__(self):
|
||||
return f"P<({self.x}, {self.y})[{len(self.controls)}]>"
|
||||
return f"P<({self.x}, {self.y})>"
|
||||
|
||||
def __str__(self):
|
||||
return self.__repr__()
|
||||
|
||||
|
||||
class Patch:
|
||||
"""Cubic patch."""
|
||||
def __init__(self, points: list[Point], color=(0.2, 0.5, 0.7, 1.0)):
|
||||
"""Bicubic patch."""
|
||||
def __init__(self,
|
||||
points: list[Point],
|
||||
controls: list[list[Point]],
|
||||
color=(0.2, 0.5, 0.7, 1.0)):
|
||||
self.points = points
|
||||
self.controls = controls
|
||||
self.color = color
|
||||
|
||||
def translate(self, pt: Point):
|
||||
for p in self.points:
|
||||
p.add(pt)
|
||||
|
||||
for q in self.controls:
|
||||
for p in q:
|
||||
p.add(pt)
|
||||
|
||||
def scale(self, pt: Point):
|
||||
for p in self.points:
|
||||
p.mult(pt)
|
||||
|
||||
def as_path(self, width=256, height=256) -> pydiffvg.Path:
|
||||
ppoints = []
|
||||
for pt in self.points:
|
||||
ppoints.append([pt.x * width, pt.y * height])
|
||||
for cpt in pt.controls:
|
||||
ppoints.append([cpt.x * width, cpt.y * height])
|
||||
|
||||
return pydiffvg.Path(
|
||||
num_control_points=torch.tensor(
|
||||
[len(p.controls) for p in self.points]
|
||||
),
|
||||
points=torch.tensor(ppoints, requires_grad=True),
|
||||
is_closed=True
|
||||
)
|
||||
|
||||
def as_shape_group(self, color=None) -> pydiffvg.ShapeGroup:
|
||||
# TODO proper id handling
|
||||
return pydiffvg.ShapeGroup(
|
||||
shape_ids=torch.tensor([0]),
|
||||
fill_color=torch.tensor(color or self.color, requires_grad=True)
|
||||
)
|
||||
|
||||
def get_points(self):
|
||||
out = []
|
||||
for p in self.points:
|
||||
out.append([p.x, p.y])
|
||||
for cp in p.controls:
|
||||
out.append([cp.x, cp.y])
|
||||
|
||||
return out
|
||||
for q in self.controls:
|
||||
for p in q:
|
||||
p.mult(pt)
|
||||
|
||||
@classmethod
|
||||
def random(cls, degree=4, num_control_points=2):
|
||||
num_control_points = [num_control_points] * degree
|
||||
"""Returns a random Patch with `degree` vertices
|
||||
and `num_control_points` control points per edge."""
|
||||
|
||||
# Random tweaks to regular polygon base
|
||||
angle = 2 * math.pi / degree
|
||||
@@ -156,6 +114,7 @@ class Patch:
|
||||
|
||||
points.append(pt)
|
||||
|
||||
control_points = []
|
||||
for i in range(len(num_control_points)):
|
||||
pt = points[i]
|
||||
npt = points[i+1 if i+1 < degree else 0]
|
||||
@@ -164,15 +123,14 @@ class Patch:
|
||||
dx = (npt.x - pt.x) / (ncp + 1)
|
||||
dy = (npt.y - pt.y) / (ncp + 1)
|
||||
|
||||
for j in range(1, ncp+1):
|
||||
midpoint = Point(
|
||||
control_points.append([
|
||||
Point(
|
||||
pt.x + j * dx * uniform(0.8, 1.2) + uniform(0, 0.2),
|
||||
pt.y + j * dy * uniform(0.8, 1.2) + uniform(0, 0.2)
|
||||
)
|
||||
) for j in range(1, ncp+1)
|
||||
])
|
||||
|
||||
pt.add_control(midpoint)
|
||||
|
||||
out = cls(points)
|
||||
out = cls(points, control_points)
|
||||
out.color = (
|
||||
uniform(0, 1),
|
||||
uniform(0, 1),
|
||||
@@ -189,8 +147,11 @@ class Patch:
|
||||
|
||||
|
||||
class Quad(Patch):
|
||||
"""Quadrilateral bicubic patch."""
|
||||
def __init__(self, *args, **kwargs):
|
||||
super().__init__(*args, **kwargs)
|
||||
|
||||
# Assign 4 vertices as self.{top, bototm, left, right}
|
||||
self.top, self.right, self.bottom, self.left = self.points
|
||||
by_y = sorted(self.points, key=lambda pt: pt.y)
|
||||
self.top, self.bottom = by_y[0], by_y[-1]
|
||||
@@ -199,184 +160,141 @@ class Quad(Patch):
|
||||
key=lambda pt: pt.x)
|
||||
self.left, self.right = by_x
|
||||
|
||||
for pt in by_y:
|
||||
pt.round()
|
||||
# Assign 4 edges as self.{northeat, southeast, southwest, northwest}
|
||||
self.northeast = self.controls[self.points.index(self.top)]
|
||||
self.southeast = self.controls[self.points.index(self.right)]
|
||||
self.southwest = self.controls[self.points.index(self.bottom)]
|
||||
self.northwest = self.controls[self.points.index(self.left)]
|
||||
|
||||
@classmethod
|
||||
def from_path_points(cls, pp, color=None):
|
||||
pt = None
|
||||
points = []
|
||||
for i in range(len(pp)):
|
||||
if i % (len(pp) // 4) == 0:
|
||||
if pt:
|
||||
points.append(pt)
|
||||
pt = Point(*pp[i])
|
||||
else:
|
||||
pt.add_control(Point(*pp[i]))
|
||||
self.set_points()
|
||||
|
||||
points.append(pt)
|
||||
return cls(points, color)
|
||||
def set_points(self):
|
||||
"""Reset self.points and self.controls; used after mutating
|
||||
e.g. self.top, self.southwest &c."""
|
||||
self.points = [self.left, self.top,
|
||||
self.right, self.bottom]
|
||||
|
||||
def to_path_points(self):
|
||||
self.controls = [self.northwest, self.northeast,
|
||||
self.southeast, self.southwest]
|
||||
|
||||
|
||||
class PointMapping:
|
||||
"""Mapping of unique points in a mesh to separate shapes for diffvg."""
|
||||
def __init__(self, points, controls, raw_points, colors):
|
||||
self.points = points
|
||||
self.controls = controls
|
||||
self.raw_points = raw_points
|
||||
self.data = torch.tensor(
|
||||
[pt.as_xy() for pt in raw_points], requires_grad=True
|
||||
)
|
||||
self.colors = colors
|
||||
|
||||
def as_shapes(self):
|
||||
out = []
|
||||
for pt in self.points:
|
||||
out.append(pt.as_xy())
|
||||
for cp in pt.controls:
|
||||
out.append(cp.as_xy())
|
||||
|
||||
return out
|
||||
for i in range(len(self.points)):
|
||||
quad = self.points[i]
|
||||
|
||||
quadpoints = []
|
||||
for j in range(len(quad)):
|
||||
quadpoints.append(quad[j])
|
||||
quadpoints += self.controls[i][j]
|
||||
|
||||
out.append(quadpoints)
|
||||
|
||||
return [torch.stack(x) for x in
|
||||
any_map(lambda idx: self.data[idx], out)]
|
||||
|
||||
|
||||
class GradientMesh:
|
||||
"""Bicubic quadrilateral mesh."""
|
||||
def __init__(self, *quads: Quad):
|
||||
self.quads = quads
|
||||
|
||||
def as_shape_groups(self):
|
||||
sg = [quad.as_shape_group() for quad in self.quads]
|
||||
for i in range(len(sg)):
|
||||
sg[i].shape_ids = torch.tensor([i])
|
||||
return sg
|
||||
|
||||
def as_shapes(self, width, height):
|
||||
return [quad.as_path(width, height) for quad in self.quads]
|
||||
|
||||
def to_numbers(self):
|
||||
def as_mapping(self):
|
||||
"""Convert GradientMesh to PointMapping"""
|
||||
points = []
|
||||
controls = []
|
||||
for quad in self.quads:
|
||||
qp = []
|
||||
qcp = []
|
||||
for p in quad.points:
|
||||
qp.append([p.x, p.y])
|
||||
qcp.append([[cp.x, cp.y] for cp in p.controls])
|
||||
points.append(qp)
|
||||
controls.append(qcp)
|
||||
raw_points = []
|
||||
|
||||
return [points, controls, [q.color for q in self.quads]]
|
||||
|
||||
def from_numbers(self, numbers):
|
||||
points, controls, colors = numbers
|
||||
for q in range(4):
|
||||
self.quads[q].color = colors[q]
|
||||
pts = points[q]
|
||||
ctrls = controls[q]
|
||||
for p in range(4):
|
||||
self.quads[q].points[p].replace(Point(*pts[p]))
|
||||
for c in range(len(self.quads[q].points[p].controls)):
|
||||
self.quads[q].points[p].controls[c].replace(
|
||||
Point(*ctrls[p][c])
|
||||
)
|
||||
|
||||
@classmethod
|
||||
def from_path_points(cls, pp, colors):
|
||||
a, b, c, d = [Quad.from_path_points(pp[x], colors[x])
|
||||
for x in range(len(pp))]
|
||||
join_quads(a, b, c, d, scale=False, translate=False)
|
||||
|
||||
return cls(a, b, c, d)
|
||||
|
||||
def to_path_points(self):
|
||||
out = []
|
||||
for q in self.quads:
|
||||
out.append(q.to_path_points())
|
||||
return out
|
||||
points.append(q.points)
|
||||
controls.append(q.controls)
|
||||
raw_points += q.points
|
||||
for cp in q.controls:
|
||||
raw_points += cp
|
||||
|
||||
def to_point_map(self):
|
||||
# XXX this doesn't work
|
||||
# because of control points
|
||||
pts: list[Point] = []
|
||||
template: list[list[int]] = []
|
||||
raw_points = list(set(raw_points))
|
||||
|
||||
for quad in self.quads:
|
||||
for pt in quad.points:
|
||||
pts.append(pt)
|
||||
points = any_map(lambda p: raw_points.index(p), points)
|
||||
controls = any_map(lambda p: raw_points.index(p), controls)
|
||||
|
||||
pts = list(dict.fromkeys(pts))
|
||||
colors = torch.tensor([q.color for q in self.quads],
|
||||
requires_grad=True)
|
||||
|
||||
for idx in range(len(self.quads)):
|
||||
template.append([
|
||||
pts.index(pt) for pt in self.quads[idx].points
|
||||
])
|
||||
return PointMapping(points, controls, raw_points, colors)
|
||||
|
||||
return (pts, template)
|
||||
|
||||
def from_point_map(self, pts, template):
|
||||
# XXX this not either
|
||||
mapped = []
|
||||
for q in template:
|
||||
mapped.append([
|
||||
pts[x] for x in q
|
||||
])
|
||||
|
||||
return mapped
|
||||
def from_mapping(self, mapping: PointMapping):
|
||||
pass
|
||||
|
||||
|
||||
def average_points(points: list[Point]) -> Point:
|
||||
def average_points(*points: list[Point]) -> Point:
|
||||
"""Average (i.e. geometric center) of points."""
|
||||
x = sum([pt.x for pt in points]) / len(points)
|
||||
y = sum([pt.y for pt in points]) / len(points)
|
||||
return Point(x, y)
|
||||
|
||||
|
||||
def equalize_points(points: list[Point]):
|
||||
first = points[0]
|
||||
for pt in points:
|
||||
pt.equalize(first)
|
||||
def join_quads(a: Quad, b: Quad, c: Quad, d: Quad,
|
||||
scale=True, translate=True,
|
||||
step=10):
|
||||
"""Join 4 quadrilaterals so that they form a mesh with a center point."""
|
||||
|
||||
def combine_cp(cpa, cpb):
|
||||
return [average_points(a, b) for a, b in zip(cpa, cpb)]
|
||||
|
||||
def equalize_cp(points: list[Point]):
|
||||
first = points[0].controls[0]
|
||||
for pt in points:
|
||||
for cp in pt.controls:
|
||||
cp.equalize(first)
|
||||
|
||||
|
||||
def merge_points(points: list[Point]):
|
||||
merged = average_points(points)
|
||||
for pt in points:
|
||||
pt.replace(merged)
|
||||
|
||||
|
||||
def merge_cp(points: list[Point]):
|
||||
ct1 = points[0].controls
|
||||
ct2 = points[1].controls[::-1]
|
||||
for i in range(len(ct1)):
|
||||
merged = average_points([ct1[i], ct2[i]])
|
||||
ct1[i].replace(merged)
|
||||
ct2[i].replace(merged)
|
||||
|
||||
|
||||
def join_quads(a: Quad, b: Quad, c: Quad, d: Quad, scale=True, translate=True):
|
||||
if translate:
|
||||
b.translate(a.top)
|
||||
c.translate(a.right)
|
||||
d.translate(a.bottom)
|
||||
|
||||
merge_points([a.right, b.bottom, c.left, d.top])
|
||||
|
||||
merge_points([a.top, b.left])
|
||||
merge_points([a.bottom, d.left])
|
||||
merge_points([b.right, c.top])
|
||||
merge_points([c.bottom, d.right])
|
||||
|
||||
# If each quad occupies full space, make it so that they occupy 1/4 of space
|
||||
if scale:
|
||||
a.scale(Point(0.5, 0.5))
|
||||
b.scale(Point(0.5, 0.5))
|
||||
c.scale(Point(0.5, 0.5))
|
||||
d.scale(Point(0.5, 0.5))
|
||||
|
||||
merge_cp([a.right, d.left])
|
||||
merge_cp([a.top, b.bottom])
|
||||
merge_cp([c.left, b.right])
|
||||
merge_cp([c.bottom, d.top])
|
||||
# If quads are on top of each other, translate so they are not
|
||||
if translate:
|
||||
b.translate(a.top)
|
||||
c.translate(a.right)
|
||||
d.translate(a.bottom)
|
||||
|
||||
equalize_points([a.right, b.bottom, c.left, d.top])
|
||||
equalize_points([a.top, b.left])
|
||||
equalize_points([a.bottom, d.left])
|
||||
equalize_points([b.right, c.top])
|
||||
equalize_points([c.bottom, d.right])
|
||||
# Equalize centerpoint
|
||||
a.right, b.bottom, c.left, d.top = [
|
||||
average_points(a.right, b.bottom, c.left, d.top)
|
||||
] * 4
|
||||
|
||||
equalize_cp([a.right, d.left])
|
||||
equalize_cp([a.top, b.bottom])
|
||||
equalize_cp([c.left, b.right])
|
||||
equalize_cp([c.bottom, d.top])
|
||||
# Equalize non-center shared points
|
||||
a.top, b.left = [average_points(a.top, b.left)] * 2
|
||||
a.bottom, d.left = [average_points(a.bottom, d.left)] * 2
|
||||
b.right, c.top = [average_points(b.right, c.top)] * 2
|
||||
c.bottom, d.right = [average_points(c.bottom, d.right)] * 2
|
||||
|
||||
# Equalize edges
|
||||
a.northeast, b.southwest = (
|
||||
(comb := combine_cp(a.northeast, b.southwest)),
|
||||
comb[::-1]
|
||||
)
|
||||
b.southeast, c.northwest = (
|
||||
(comb := combine_cp(b.southeast, c.northwest)),
|
||||
comb[::-1]
|
||||
)
|
||||
c.southwest, d.northeast = (
|
||||
(comb := combine_cp(c.southwest, d.northeast)),
|
||||
comb[::-1]
|
||||
)
|
||||
d.northwest, a.southeast = (
|
||||
(comb := combine_cp(d.northwest, a.southeast)),
|
||||
comb[::-1]
|
||||
)
|
||||
|
||||
# Update points
|
||||
for q in [a, b, c, d]:
|
||||
q.set_points()
|
||||
|
72
gradientmesh/gmtypes2.py
Normal file
@@ -0,0 +1,72 @@
|
||||
#!/usr/bin/env python3
|
||||
from __future__ import annotations
|
||||
from typing import TypeAlias
|
||||
from random import uniform
|
||||
|
||||
import torch
|
||||
|
||||
Point: TypeAlias = torch.FloatTensor
|
||||
Vector: TypeAlias = Point
|
||||
Color: TypeAlias = torch.FloatTensor
|
||||
|
||||
|
||||
def indexize_tensor(tensor, eps=1e-5):
|
||||
"""Take tensor of quads to flat list of points plus index map."""
|
||||
tensor_shape = tensor.shape
|
||||
tensor = tensor.view(-1, tensor_shape[-1])
|
||||
|
||||
# Round tensor elements to handle floating point precision errors
|
||||
tensor = torch.round(tensor / eps) * eps
|
||||
|
||||
# Compute unique rows and their indices
|
||||
tensor, inverse_indices = tensor.unique(dim=0, return_inverse=True)
|
||||
|
||||
# Compute index tensor
|
||||
index_tensor = inverse_indices.view(tensor_shape[:-1])
|
||||
|
||||
return tensor, index_tensor
|
||||
|
||||
|
||||
def ferguson_to_bezier(corner_points, tangent_vectors):
|
||||
"""Take Ferguson patch to Bezier representation"""
|
||||
# Assume corner_points is a list of 4 points [P0, P1, P2, P3] and
|
||||
# tangent_vectors is a list of 4 vectors [V0, V1, V2, V3]
|
||||
|
||||
# Bezier control points
|
||||
bezier_points = [None]*12
|
||||
|
||||
# Use tangent vectors to determine interior points and place them in the order
|
||||
for i in range(4):
|
||||
bezier_points[3*i] = corner_points[i]
|
||||
bezier_points[3*i + 1] = corner_points[i] + tangent_vectors[i]/3
|
||||
bezier_points[3*i + 2] = corner_points[i] + 2*tangent_vectors[i]/3
|
||||
|
||||
return bezier_points
|
||||
|
||||
|
||||
class Mesh:
|
||||
def __init__(self, points, tangents, colors):
|
||||
self.fpoints, self.ipoints = indexize_tensor(points)
|
||||
self.ftangents, self.itangents = indexize_tensor(tangents)
|
||||
self.colors = colors
|
||||
|
||||
@classmethod
|
||||
def grid(cls, width, height):
|
||||
dx = 1.0 / width
|
||||
dy = 1.0 / height
|
||||
points = []
|
||||
tangents = []
|
||||
colors = []
|
||||
for i in range(width):
|
||||
for j in range(height):
|
||||
x1, y1 = i * dx, j * dy
|
||||
x2, y2 = (i+1) * dx, (j+1) * dy
|
||||
# Clockwise order: bottom left, bottom right, top right, top left
|
||||
square = [[x1, y1], [x2, y1], [x2, y2], [x1, y2]]
|
||||
points.append(square)
|
||||
tangents.append([[0.0, 0.0] for _ in range(4)])
|
||||
colors.append([uniform(0, 1) for _ in range(3)] + [1.0])
|
||||
|
||||
return cls(torch.tensor(points),
|
||||
torch.tensor(tangents),
|
||||
torch.tensor(colors))
|
BIN
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gradientmesh/results/single_gradient/iter_5.png
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gradientmesh/results/single_gradient/iter_50.png
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gradientmesh/results/single_gradient/iter_51.png
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gradientmesh/results/single_gradient/iter_52.png
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gradientmesh/results/single_gradient/iter_53.png
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After Width: | Height: | Size: 2.3 KiB |
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gradientmesh/results/single_gradient/iter_54.png
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gradientmesh/results/single_gradient/iter_55.png
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After Width: | Height: | Size: 2.4 KiB |
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gradientmesh/results/single_gradient/iter_56.png
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After Width: | Height: | Size: 2.3 KiB |
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gradientmesh/results/single_gradient/iter_57.png
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gradientmesh/results/single_gradient/iter_58.png
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After Width: | Height: | Size: 2.4 KiB |
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gradientmesh/results/single_gradient/iter_59.png
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After Width: | Height: | Size: 2.3 KiB |
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gradientmesh/results/single_gradient/iter_6.png
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After Width: | Height: | Size: 3.4 KiB |
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gradientmesh/results/single_gradient/iter_60.png
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After Width: | Height: | Size: 2.3 KiB |
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gradientmesh/results/single_gradient/iter_61.png
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After Width: | Height: | Size: 2.4 KiB |
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gradientmesh/results/single_gradient/iter_62.png
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gradientmesh/results/single_gradient/iter_63.png
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gradientmesh/results/single_gradient/iter_64.png
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gradientmesh/results/single_gradient/iter_65.png
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gradientmesh/results/single_gradient/iter_66.png
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After Width: | Height: | Size: 2.6 KiB |
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gradientmesh/results/single_gradient/iter_67.png
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After Width: | Height: | Size: 2.5 KiB |
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gradientmesh/results/single_gradient/iter_68.png
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After Width: | Height: | Size: 2.6 KiB |
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gradientmesh/results/single_gradient/iter_69.png
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After Width: | Height: | Size: 2.5 KiB |
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gradientmesh/results/single_gradient/iter_7.png
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After Width: | Height: | Size: 3.6 KiB |
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gradientmesh/results/single_gradient/iter_70.png
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After Width: | Height: | Size: 2.4 KiB |
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gradientmesh/results/single_gradient/iter_71.png
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After Width: | Height: | Size: 2.5 KiB |
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gradientmesh/results/single_gradient/iter_72.png
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After Width: | Height: | Size: 2.2 KiB |
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gradientmesh/results/single_gradient/iter_73.png
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After Width: | Height: | Size: 2.4 KiB |
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gradientmesh/results/single_gradient/iter_74.png
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After Width: | Height: | Size: 2.6 KiB |
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gradientmesh/results/single_gradient/iter_75.png
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After Width: | Height: | Size: 2.3 KiB |
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gradientmesh/results/single_gradient/iter_76.png
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After Width: | Height: | Size: 2.5 KiB |
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gradientmesh/results/single_gradient/iter_77.png
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After Width: | Height: | Size: 2.6 KiB |
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gradientmesh/results/single_gradient/iter_78.png
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After Width: | Height: | Size: 2.5 KiB |
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gradientmesh/results/single_gradient/iter_79.png
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After Width: | Height: | Size: 2.7 KiB |
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gradientmesh/results/single_gradient/iter_8.png
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After Width: | Height: | Size: 3.6 KiB |
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gradientmesh/results/single_gradient/iter_80.png
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After Width: | Height: | Size: 2.6 KiB |
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gradientmesh/results/single_gradient/iter_81.png
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After Width: | Height: | Size: 2.5 KiB |
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gradientmesh/results/single_gradient/iter_82.png
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After Width: | Height: | Size: 2.6 KiB |
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gradientmesh/results/single_gradient/iter_83.png
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After Width: | Height: | Size: 2.6 KiB |
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gradientmesh/results/single_gradient/iter_84.png
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After Width: | Height: | Size: 2.7 KiB |
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gradientmesh/results/single_gradient/iter_85.png
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After Width: | Height: | Size: 2.6 KiB |
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gradientmesh/results/single_gradient/iter_86.png
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After Width: | Height: | Size: 2.6 KiB |
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gradientmesh/results/single_gradient/iter_87.png
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After Width: | Height: | Size: 2.7 KiB |
BIN
gradientmesh/results/single_gradient/iter_88.png
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After Width: | Height: | Size: 2.8 KiB |
BIN
gradientmesh/results/single_gradient/iter_89.png
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After Width: | Height: | Size: 2.6 KiB |
BIN
gradientmesh/results/single_gradient/iter_9.png
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After Width: | Height: | Size: 3.5 KiB |
BIN
gradientmesh/results/single_gradient/iter_90.png
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After Width: | Height: | Size: 2.8 KiB |
BIN
gradientmesh/results/single_gradient/iter_91.png
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After Width: | Height: | Size: 2.8 KiB |
BIN
gradientmesh/results/single_gradient/iter_92.png
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After Width: | Height: | Size: 2.8 KiB |
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gradientmesh/results/single_gradient/iter_93.png
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After Width: | Height: | Size: 2.7 KiB |