def color_from_gradient(gradient, image_size, triangles):
"""
Color a graph of triangles using a gradient.
Arguments:
gradient is a Gradient object
image_size is a tuple of the output dimensions, i.e. (width, height)
triangles is a list of vertex-defined Triangle objects
Returns:
A list of Color objects, one per triangle such that colors[i] is the color
of triangle[i]
"""
colors = []
# The size of the screen
s = sqrt(image_size[0]**2 + image_size[1]**2)
for t in triangles:
# The color is determined by the location of the centroid
tc = tri_centroid(t)
# Bound centroid to boundaries of the image
c = (min(max(0, tc[0]),
image_size[0]), min(max(0, tc[1]), image_size[1]))
frac = sqrt(c[0]**2 + c[1]**2) / s
colors.append(calculate_color(gradient, frac))
return colors
def color_from_gradient(gradient, image_size, triangles):
"""
Color a graph of triangles using a gradient.
Arguments:
gradient is a Gradient object
image_size is a tuple of the output dimensions, i.e. (width, height)
triangles is a list of vertex-defined Triangle objects
Returns:
A list of Color objects, one per triangle such that colors[i] is the color
of triangle[i]
"""
colors = []
# The size of the screen
s = sqrt(image_size[0]**2+image_size[1]**2)
for t in triangles:
# The color is determined by the location of the centroid
tc = tri_centroid(t)
# Bound centroid to boundaries of the image
c = (min(max(0, tc[0]), image_size[0]),
min(max(0, tc[1]), image_size[1]))
frac = sqrt(c[0]**2+c[1]**2)/s
colors.append(calculate_color(gradient, frac))
return colors
def color_from_image(background_image, triangles):
"""
Color a graph of triangles using the colors from an image.
The color of each triangle is determined by the color of the image pixel at
its centroid.
Arguments:
background_image is a PIL Image object
triangles is a list of vertex-defined Triangle objects
Returns:
A list of Color objects, one per triangle such that colors[i] is the color
of triangle[i]
"""
colors = []
pixels = background_image.load()
size = background_image.size
for t in triangles:
centroid = tri_centroid(t)
# Truncate the coordinates to fit within the boundaries of the image
int_centroid = (int(min(max(centroid[0], 0), size[0] - 1)),
int(min(max(centroid[1], 0), size[1] - 1)))
# Get the color of the image at the centroid
p = pixels[int_centroid[0], int_centroid[1]]
colors.append(Color(p[0], p[1], p[2]))
return colors
def color_from_image(background_image, triangles):
"""
Color a graph of triangles using the colors from an image.
The color of each triangle is determined by the color of the image pixel at
its centroid.
Arguments:
background_image is a PIL Image object
triangles is a list of vertex-defined Triangle objects
Returns:
A list of Color objects, one per triangle such that colors[i] is the color
of triangle[i]
"""
colors = []
pixels = background_image.load()
size = background_image.size
for t in triangles:
centroid = tri_centroid(t)
# Truncate the coordinates to fit within the boundaries of the image
int_centroid = (
int(min(max(centroid[0], 0), size[0]-1)),
int(min(max(centroid[1], 0), size[1]-1))
)
# Get the color of the image at the centroid
p = pixels[int_centroid[0], int_centroid[1]]
colors.append(Color(p[0], p[1], p[2]))
return colors