def search_fractals(height,
width,
quality,
out_dir='/Volumes/internal/Datasets/flames',
num=1000):
max_iter = width * height * quality
for i in range(num):
n = randint(4, 10)
pixels = np.zeros((height, width, 4), dtype=np.uint8)
counts = np.zeros((height, width), dtype=np.uint32)
colors = generate_palette(n)
maps = generate_transformations(n)
write_parameters(os.path.join(out_dir, '{0}.txt'.format(i)), colors,
maps)
pixels = render_fractal(pixels, counts, maps, colors, height, width,
max_iter)
pixels = composite_black_background(pixels)
writer = png.Writer(width=width, height=height, alpha=True)
writer.write(open(os.path.join(out_dir, '{0}.png'.format(i)), 'w'),
pixels.reshape(-1, width * 4))
def generate_fractal(number, height=3000, width=3000, quality=30, out_dir='/Volumes/internal/Datasets/flames'):
parameters = read_parameters(os.path.join(out_dir, '{0}.txt'.format(number)))
colors = parameters['colors']
maps = parameters['maps']
max_iter = width * height * quality
pixels = np.zeros((height, width, 4), dtype=np.uint8)
counts = np.zeros((height, width), dtype=np.uint32)
pixels = render_fractal(pixels, counts, maps, colors, height, width, max_iter)
pixels = composite_black_background(pixels)
writer = png.Writer(width=width, height=height, alpha=True)
writer.write(open('{0}_high_quality.png'.format(number), 'w'), pixels.reshape(-1, width * 4))
def search_fractals(height, width, quality, out_dir='/Volumes/internal/Datasets/flames', num=1000):
max_iter = width * height * quality
for i in range(num):
n = randint(4, 10)
pixels = np.zeros((height, width, 4), dtype=np.uint8)
counts = np.zeros((height, width), dtype=np.uint32)
colors = generate_palette(n)
maps = generate_transformations(n)
write_parameters(os.path.join(out_dir, '{0}.txt'.format(i)), colors, maps)
pixels = render_fractal(pixels, counts, maps, colors, height, width, max_iter)
pixels = composite_black_background(pixels)
writer = png.Writer(width=width, height=height, alpha=True)
writer.write(open(os.path.join(out_dir, '{0}.png'.format(i)), 'w'), pixels.reshape(-1, width * 4))
def generate_fractal(number,
height=3000,
width=3000,
quality=30,
out_dir='/Volumes/internal/Datasets/flames'):
parameters = read_parameters(
os.path.join(out_dir, '{0}.txt'.format(number)))
colors = parameters['colors']
maps = parameters['maps']
max_iter = width * height * quality
pixels = np.zeros((height, width, 4), dtype=np.uint8)
counts = np.zeros((height, width), dtype=np.uint32)
pixels = render_fractal(pixels, counts, maps, colors, height, width,
max_iter)
pixels = composite_black_background(pixels)
writer = png.Writer(width=width, height=height, alpha=True)
writer.write(open('{0}_high_quality.png'.format(number), 'w'),
pixels.reshape(-1, width * 4))
