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mosaic_creator.py
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mosaic_creator.py
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import os, random, argparse, sys, glob
from PIL import Image, UnidentifiedImageError
import numpy as np
from tqdm import tqdm
import sys
parser = argparse.ArgumentParser(description='Creates a photomosaic from input images')
parser.add_argument('--target', dest='target', required=True, help="Image to create mosaic from")
parser.add_argument('--images', dest='images', required=True, help="Diectory of images")
args = parser.parse_args()
def getImages(images_directory):
#catching all png, jpeg and jpg files in the directory
image_list = (glob.glob(images_directory + "/*.png") +
glob.glob(images_directory + "/*.jpg") +
glob.glob(images_directory + "/*.jpeg"))
if not image_list:
print("There is no valid image file in the directory passed as argument to --images.")
sys.exit()
images = []
for img in image_list:
try:
fp = open(img, "rb")
im = Image.open(fp)
images.append(im)
im.load()
fp.close()
except ValueError:
print("Invalid parameters passed to PIL.Image.open() method.")
sys.exit()
except UnidentifiedImageError:
#If cant open the file, ignore it and continue
print("WARNING: Can not identify and open one file. Ignoring it...")
continue
return (images)
# computing the average value for the image
def getAverageRGB(image):
im = np.array(image)
w, h, d = im.shape
return (tuple(np.average(im.reshape(w * h, d), axis=0)))
# splitting the image into tiles
def splitImage(image, size):
W, H = image.size[0], image.size[1]
m, n = size
w, h = int(W / n), int(H / m)
imgs = []
for j in range(m):
for i in range(n):
imgs.append(image.crop((i * w, j * h, (i + 1) * w, (j + 1) * h)))
return (imgs)
# selecting the best match from the mosaic images based on average values of the original image.
def getBestMatchIndex(input_avg, avgs):
avg = input_avg
index = 0
min_index = 0
min_dist = float("inf")
for val in avgs:
dist = ((val[0] - avg[0]) * (val[0] - avg[0]) +
(val[1] - avg[1]) * (val[1] - avg[1]) +
(val[2] - avg[2]) * (val[2] - avg[2]))
if dist < min_dist:
min_dist = dist
min_index = index
index += 1
return (min_index)
# creating the image grid for tiles to fit in
def createImageGrid(images, dims):
m, n = dims
width = max([img.size[0] for img in images])
height = max([img.size[1] for img in images])
grid_img = Image.new('RGB', (n * width, m * height))
for index in range(len(images)):
row = int(index / n)
col = index - n * row
grid_img.paste(images[index], (col * width, row * height))
return (grid_img)
# creating the mosaic
def createPhotomosaic(target_image, input_images, grid_size,
reuse_images=True):
target_images = splitImage(target_image, grid_size)
output_images = []
count = 0
batch_size = int(len(target_images) / 10)
avgs = []
for img in input_images:
try:
avgs.append(getAverageRGB(img))
except:
continue
for img in tqdm(target_images):
try:
avg = getAverageRGB(img)
except:
continue
match_index = getBestMatchIndex(avg, avgs)
output_images.append(input_images[match_index])
count += 1
# remove selected image from input if flag set
if not reuse_images:
input_images.remove(match_index)
mosaic_image = createImageGrid(output_images, grid_size)
return (mosaic_image)
try:
target_image = Image.open(args.target)
except FileNotFoundError:
print("Can not find the specified --target file. Please, make sure the passed file exists.")
sys.exit()
except ValueError:
print("Invalid parameters passed to PIL.Image.open() method.")
sys.exit()
except UnidentifiedImageError:
print("Can not identify and open the image file specified. Please, make sure the file passed is a valid image.")
sys.exit()
except IsADirectoryError:
print("The argument passed as --target is a directory without any files. Image file path expected.")
sys.exit()
# input images
input_images = getImages(args.images)
# shuffle list - to get a more varied output?
random.shuffle(input_images)
# size of grid
grid_size = (200, 200)
# re-use any image in input
reuse_images = True
# resize the input to fit original image size?
resize_input = True
# resizing input
if resize_input:
# for given grid size, compute max dims w,h of tiles
dims = (int(target_image.size[0] / grid_size[1]),
int(target_image.size[1] / grid_size[0]))
# resize
for img in input_images:
img.thumbnail(dims)
# create photomosaic
mosaic_image = createPhotomosaic(target_image, input_images, grid_size, reuse_images)
# write out mosaic
mosaic_image.save('assets/mosaic.jpg', 'JPEG')