else/MassStitching/massstitch.py
2016-01-16 17:43:17 -08:00

58 lines
No EOL
2.2 KiB
Python

from PIL import Image
import hashlib
import os
import sys
def load_all_images(iterable):
images = []
for filename in iterable:
print('Loading "%s"' % filename)
try:
image = Image.open(filename)
image.filename = filename
print('Loaded "%s"' % filename)
images.append(image)
except OSError:
print('Could not load "%s"' % filename)
return images
def listfiles(directory):
files = [name for name in os.listdir(directory)]
files = [os.path.join(directory, name) for name in files]
files = [name for name in files if os.path.isfile(name)]
return files
def stitch(images, outputfilename):
largest_width = max(image.size[0] for image in images)
largest_height = max(image.size[1] for image in images)
print('Using cell size of %dx%dpx' % (largest_width, largest_height))
grid_width = round(len(images) ** 0.5)
# overflow adds an extra line for nonperfect squares.
overflow = 1 if (len(images) % grid_width != 0) else 0
grid_height = (len(images) // grid_width) + overflow
grid_width_pixels = grid_width * largest_width
grid_height_pixels = grid_height * largest_height
print('Creating image of size: %dx%d (%dx%dpx)' % (grid_width, grid_height, grid_width_pixels, grid_height_pixels))
stitched_image = Image.new('RGBA', [grid_width_pixels, grid_height_pixels])
print('Pasting components')
for (index, image) in enumerate(images):
pad_x = int((largest_width - image.size[0]) / 2)
pad_y = int((largest_height - image.size[1]) / 2)
gridspot_x = index % grid_width
gridspot_y = index // grid_width
pixel_x = (gridspot_x * largest_width) + pad_x
pixel_y = (gridspot_y * largest_height) + pad_y
print(index, image.filename, gridspot_x, gridspot_y, pixel_x, pixel_y)
stitched_image.paste(image, (pixel_x, pixel_y))
print('Saving "%s"' % outputfilename)
stitched_image.save(outputfilename)
directory = sys.argv[1]
images = listfiles(directory)
directory_id = 'massstitch_%s.png' % directory
if directory_id in images:
images.remove(directory_id)
images = load_all_images(images)
stitch(images, directory_id)