Exemplo n.º 1
0
    lg = ph.gradient.linear([pal[0], pal[1]], [1, 0], theta=np.pi / 2)
    C += circle(0, 0, radius - 2 * offset, thickness=tc / 2, gradient=lg)

    lg = ph.gradient.linear([pal[2], pal[1]], [1, 0], theta=-np.pi / 2)
    C += circle(0, 0, radius - offset, thickness=tc / 2, gradient=lg)

    lg = ph.gradient.linear([pal[2], pal[1]], [1, 0], theta=np.pi / 2)
    C += circle(0, 0, radius + 1.5 * offset, thickness=tc / 2, gradient=lg)


# Start a new canvas and load in an image. It will resize automatically.
C = Canvas().load("asphalt-dark-dawn-531321.jpg")

# Apply the instagram-like filter named 1977.
# Use ph.filters.instafilter("") to get a list of all known.
C += ph.filters.instafilter("1977")

# Start a new layer. This uses the current image as a background, and then
# applies it after the context is over.
with C.layer() as layer:

    # Draw the circles, blend, then draw them again.
    # This makes them have a glowy effect.
    draw_circles(layer)
    layer += ph.filters.gaussian_blur()
    draw_circles(layer)

C.save("figures/blue_woods.png")
C.show()
Exemplo n.º 2
0
# A working file to test various aspects of the module
import numpy as np
import pixelhouse as ph
from pixelhouse import Canvas, Animation, circle, rectangle

C = Canvas(width=400, height=400, bg="purple")

with C.layer() as CX:
    CX += circle(x=0, color="w")
    for i in range(10):
        CX += ph.filters.gaussian_blur(blur_x=0.25)

    CX += circle(x=0, color="w")

C += circle(x=0, y=2, r=0.7, color="r")
C += circle(x=0, y=-2, r=0.7, color="k")
C += circle(x=0, y=2, r=0.7, color="r")

C.show()
Exemplo n.º 3
0
    base_r = 0.80

    r = base_r + dx
    lg = linear_gradient(pal[0], pal[1], theta=np.pi / 2)
    C += ellipse(0, 0, r, r, thickness=tc, gradient=lg)

    r = base_r - 2 * dx
    lg = linear_gradient(pal[0], pal[1], theta=-np.pi / 2)
    C += ellipse(0, 0, r, r, thickness=tc / 2, gradient=lg)

    r = base_r - dx
    lg = linear_gradient(pal[2], pal[1], theta=np.pi / 2)
    C += ellipse(0, 0, r, r, thickness=tc / 2, gradient=lg)

    r = base_r + 1.5 * dx
    lg = linear_gradient(pal[2], pal[1], theta=-np.pi / 2)
    C += ellipse(0, 0, r, r, thickness=tc / 2, gradient=lg)


C = Canvas().load("asphalt-dark-dawn-531321.jpg")
C += instafilter("1977")

with C.layer() as C2:
    draw_circles(C2)
    C2 += gaussian_blur()
    draw_circles(C2)

C.save("blue_woods.png")
C.show()