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engine.py
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engine.py
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import cairo
import numpy as np
import cv2
import os
def hex_to_rgb(hex_color: str) -> tuple:
h = hex_color.lstrip('#')
return tuple(int(h[i:i+2], 16) / 255 for i in (0, 2, 4))
def set_background(color1: tuple, color2: tuple, context):
pat = cairo.LinearGradient(0.0, 0.0, 1.0, 1.0)
pat.add_color_stop_rgba(0, *color1, 1) # First stop, 50% opacity
pat.add_color_stop_rgba(1, *color2, 1) # Last stop, 100% opacity
context.rectangle(0, 0, 1, 1) # Rectangle(x0, y0, x1, y1)
context.set_source(pat)
context.fill()
def get_spiral(alpha: float, normalize):
arc = 4
phi = 0
points = []
steps = []
x, y = 0, 0
while (abs(x) < 0.45) & (abs(y) < 0.45):
radius = phi * alpha
x = np.cos(phi) * radius / normalize
y = np.sin(phi) * radius / normalize
points.append((x, y))
if radius != 0:
step = np.arcsin(arc / (2 * radius))
else:
step = arc / (2 * alpha)
phi += step
steps.append(step)
return points, steps
def spiral_width(alpha: float, normalize, steps, widths):
phi = 0
line_top = []
line_bottom = []
scaled = scale_array(widths, 0.001, 1 * np.pi * alpha)
for step, weight in zip(steps, scaled):
for side in ['top', 'bottom']:
match side:
case 'top':
radius = phi * alpha + weight
x = np.cos(phi) * radius / normalize
y = np.sin(phi) * radius / normalize
line_top.append((x, y))
case 'bottom':
radius = phi * alpha - weight
x = np.cos(phi) * radius / normalize
y = np.sin(phi) * radius / normalize
line_bottom.append((x, y))
phi += step
return line_top[1:] + line_bottom[1:][::-1]
def scale_array(array: np.array, min_value: float, max_value: float) -> np.array:
min_array = np.min(array)
max_array = np.max(array)
delta_array = max_array - min_array
normalized = (array - min_array) / delta_array
delta_scaled = max_value - min_value
return normalized * delta_scaled + min_value
def image_preprocessing(image_file: str, auto_contrast: bool = False, inverse: bool = False) -> np.array:
image = cv2.imread(image_file, cv2.IMREAD_GRAYSCALE)
height, width = image.shape[:2]
offset = min(height, width) // 2
image = image[height // 2 - offset: height // 2 + offset:,
width // 2 - offset: width // 2 + offset]
if auto_contrast:
image = cv2.convertScaleAbs(image, alpha=1.1, beta=10)
if inverse:
image = cv2.bitwise_not(image)
return image
def get_weights(image: np.array, spiral_points: list, alpha: float) -> np.array:
scale = min(image.shape[:2])
offset = scale // 2
weights = []
for point in spiral_points:
point = [int(coord * scale + offset) for coord in point]
x, y = point
max_width = int(alpha + 1)
mean_color = np.mean(image[y - max_width:y + max_width, x - max_width:x + max_width])
weights.append(mean_color)
return weights
def draw_spiral(context: cairo.Context, spiral: list, color: tuple) -> None:
# Drawing spiral
context.translate(0.5, 0.5)
context.set_line_width(0.0005)
context.move_to(0, 0)
for line in spiral:
context.line_to(*line)
context.close_path()
# Shape and color
context.set_source_rgb(*color) # Spiral color
context.fill()
context.set_line_join(cairo.LINE_JOIN_ROUND)
context.set_line_cap(cairo.LINE_CAP_ROUND)
context.stroke()
def transform_image(file: str, mode: str = 'PNG', alpha: float = 3.,
background_color1: str = "#64130A", background_color2: str = "#051646",
spiral_color: str = "#65BFFC", inverse_flag: bool = False,
contrast_flag: bool = False) -> None:
# Work with arguments
bg_color1 = hex_to_rgb(background_color1)
bg_color2 = hex_to_rgb(background_color2)
spiral_color = hex_to_rgb(spiral_color)
if not os.path.isfile(file):
return print("File doesn't exists")
output_name = file.split('\\')[-1]
output_name = output_name.split('.')[-2]
# Preparing image
source = image_preprocessing(file, inverse=inverse_flag, auto_contrast=contrast_flag)
# Chose output format
match mode:
case 'PNG':
SIZE = 2000
ALPHA = alpha
surface = cairo.ImageSurface(cairo.FORMAT_ARGB32, SIZE, SIZE)
case 'SVG':
SIZE = 1000
ALPHA = alpha / 2
surface = cairo.SVGSurface(f'{output_name}_spiral.svg', SIZE, SIZE)
# Preparing canvas
canvas = cairo.Context(surface)
canvas.scale(SIZE, SIZE) # Normalizing the canvas
set_background(bg_color1, bg_color2, canvas)
# set_background((0.4, 0., 0.01), (0.01, 0.1, 0.3), canvas)
# Construct the spiral
points, steps = get_spiral(ALPHA, SIZE)
weights = get_weights(source, points, ALPHA)
lines = spiral_width(ALPHA, SIZE, steps, weights)
# Drawing spiral
draw_spiral(canvas, lines, spiral_color)
# Export result
match mode:
case 'PNG':
surface.write_to_png(f"{output_name}_spiral.png") # Output to PNG
case 'SVG':
surface.finish()
surface.flush()
return print("Image created and saved")
if __name__ == '__main__':
transform_image(r'ciri.jpg', mode='SVG')