better multi-threading and ui
This commit is contained in:
parent
8d744f686a
commit
66c3e27542
126
mosiac.py
126
mosiac.py
|
@ -6,7 +6,9 @@ Does mosiacs.
|
|||
import os
|
||||
import time
|
||||
import colorsys
|
||||
import threading
|
||||
# import threading
|
||||
from multiprocessing import Pool
|
||||
from multiprocessing.dummy import Pool as ThreadPool
|
||||
|
||||
import numpy as np
|
||||
from PIL import Image
|
||||
|
@ -18,6 +20,7 @@ class Mosiac():
|
|||
self.numThreads = 4
|
||||
|
||||
self.imageBank = {}
|
||||
self.tilesDir = None
|
||||
self.clusters = []
|
||||
self.clusterMeans = []
|
||||
|
||||
|
@ -29,50 +32,51 @@ class Mosiac():
|
|||
self.matrixSize = None
|
||||
|
||||
|
||||
def openBigImage(self, imagePath, mat=(40,20)):
|
||||
def openBigImage(self, bigImagePath, mat=None):
|
||||
"""
|
||||
Opens and initializes the big image.
|
||||
"""
|
||||
self.bigImage = Image.open(bigImagePath).convert("RGB")
|
||||
# TODO: find a better way to do this
|
||||
if not mat:
|
||||
if self.bigImage.size[0] > self.bigImage.size[1]:
|
||||
mat = (40, 20)
|
||||
elif self.bigImage.size[0] < self.bigImage.size[1]:
|
||||
mat = (20, 40)
|
||||
else:
|
||||
mat = (20, 20)
|
||||
|
||||
self.matrixSize = mat
|
||||
self.bigImage = Image.open(imagePath).convert("RGB")
|
||||
self.tileSize = (self.bigImage.size[0] // mat[0],
|
||||
self.tileSize = (
|
||||
self.bigImage.size[0] // mat[0],
|
||||
self.bigImage.size[1] // mat[1])
|
||||
self.smallImage = self.bigImage.resize(mat)
|
||||
self.bigImageSize = (self.tileSize[0]*mat[0], self.tileSize[1]*mat[1])
|
||||
self.bigImage = self.bigImage.crop(
|
||||
(0, 0, self.bigImageSize[0], self.bigImageSize[1]))
|
||||
|
||||
|
||||
def initImageBank(self, root):
|
||||
def initImageBank(self, tilesDir):
|
||||
"""
|
||||
Calculates the average pixel value of all the images in the directory.
|
||||
This is the thread controller.
|
||||
"""
|
||||
then = time.time()
|
||||
files = os.listdir(os.path.join(root, "images"))
|
||||
self.tilesDir = tilesDir
|
||||
files = os.listdir(self.tilesDir)
|
||||
|
||||
thread_files = []
|
||||
num = len(files) // self.numThreads
|
||||
for n in range(self.numThreads):
|
||||
t_files = [file for file in files[n*num:n*num+num]]
|
||||
thread_files.append(t_files)
|
||||
thread_files[-1] += [file for file in files[-(len(files) % num):]]
|
||||
|
||||
threads = []
|
||||
for t_files in thread_files:
|
||||
t = threading.Thread(target=self.initImageBankWorker,
|
||||
args=((root, t_files)))
|
||||
threads.append(t)
|
||||
t.start()
|
||||
for t in threads:
|
||||
t.join()
|
||||
pool = ThreadPool()
|
||||
pool.map(self.initImageBankWorker, files)
|
||||
pool.close()
|
||||
pool.join()
|
||||
print(f"initImageBank took: {time.time()-then} seconds.")
|
||||
|
||||
|
||||
def initImageBankWorker(self, root, files):
|
||||
def initImageBankWorker(self, file):
|
||||
"""
|
||||
Thread worker.
|
||||
"""
|
||||
for file in files:
|
||||
image = Image.open(os.path.join(root, "images", file))
|
||||
image = Image.open(os.path.join(self.tilesDir, file))
|
||||
|
||||
if image.mode == "P":
|
||||
image = image.convert(image.palette.mode)
|
||||
|
@ -80,13 +84,9 @@ class Mosiac():
|
|||
image = alpha_composite(image).convert("RGB")
|
||||
if image.mode == "L":
|
||||
image = image.convert("RGB")
|
||||
# image = image.convert("RGBA")
|
||||
|
||||
image = image.resize(self.tileSize, Image.ANTIALIAS)
|
||||
mean = tuple(np.mean(image, axis=(0,1)))
|
||||
# img = Image.new("RGBA", image.size)
|
||||
# img.putdata(list(map(lambda pixel: (255,255,255,0) if pixel == \
|
||||
# (255,255,255,255) else pixel, image.getdata())))
|
||||
|
||||
self.imageBank[mean] = image
|
||||
|
||||
|
@ -96,9 +96,9 @@ class Mosiac():
|
|||
Create a bank of test images.
|
||||
"""
|
||||
then = time.time()
|
||||
for i in range(0, 257, 16):
|
||||
for j in range(0, 257, 16):
|
||||
for k in range(0, 257, 16):
|
||||
for i in range(0, 256, 15):
|
||||
for j in range(0, 256, 15):
|
||||
for k in range(0, 256, 15):
|
||||
image = Image.new("RGB", self.tileSize, (i,j,k, 255))
|
||||
mean = tuple(np.mean(image, axis=(0,1)))
|
||||
self.imageBank[mean] = image
|
||||
|
@ -150,7 +150,7 @@ class Mosiac():
|
|||
return cluster[tuple(nodes[choice])]
|
||||
|
||||
|
||||
def buildMatrix(self):
|
||||
def buildMatrix(self, tileAlpha):
|
||||
"""
|
||||
Build the image matrix.
|
||||
"""
|
||||
|
@ -158,31 +158,32 @@ class Mosiac():
|
|||
pixels = list(self.smallImage.getdata())
|
||||
for pixel in pixels:
|
||||
image = self.nearestImage(pixel)
|
||||
if tileAlpha:
|
||||
image = image.convert("RGBA")
|
||||
comp = Image.new("RGBA", image.size, pixel + (30,))
|
||||
comp = Image.new("RGBA", image.size, pixel + (tileAlpha,))
|
||||
image = Image.alpha_composite(image, comp).convert("RGB")
|
||||
self.imageMatrix.append(image)
|
||||
print(f"buildMatrix took: {time.time()-then} seconds.")
|
||||
|
||||
|
||||
def buildMosiac(self, root):
|
||||
def buildMosiac(self, output, bigAlpha):
|
||||
"""
|
||||
Builds the final mosiac image.
|
||||
"""
|
||||
then = time.time()
|
||||
image = Image.new("RGB", self.bigImageSize, (255,255,255))
|
||||
self.bigImage = self.bigImage.crop(
|
||||
(0, 0, self.bigImageSize[0], self.bigImageSize[1]))
|
||||
|
||||
n = 0
|
||||
for y in range(0, self.bigImageSize[1], self.tileSize[1]):
|
||||
for x in range(0, self.bigImageSize[0], self.tileSize[0]):
|
||||
image.paste(self.imageMatrix[n], box=(x,y))
|
||||
n += 1
|
||||
if bigAlpha:
|
||||
image = image.convert("RGBA")
|
||||
self.bigImage.putalpha(50)
|
||||
self.bigImage.putalpha(bigAlpha)
|
||||
image = Image.alpha_composite(image, self.bigImage).convert("RGB")
|
||||
# self.bigImage.save(os.path.join(root, "mosiac.png"), "PNG")
|
||||
image.save(os.path.join(root, "mosiac.jpg"), "JPEG", optimize=True, quality=90)
|
||||
# self.bigImage.save(output, "PNG")
|
||||
image.save(output, "JPEG", optimize=True, quality=90)
|
||||
print(f"buildMosiac took: {time.time()-then} seconds.")
|
||||
|
||||
|
||||
|
@ -213,21 +214,44 @@ if __name__ == "__main__":
|
|||
import argparse
|
||||
|
||||
parser = argparse.ArgumentParser(
|
||||
description="Generates a mosiac of images.")
|
||||
description="Stiches together a series of smaller images in the \
|
||||
likeliness of a larger image. The 'big image' should be quite large.")
|
||||
parser.add_argument(
|
||||
"root",
|
||||
help="Root directory to work in.")
|
||||
# parser.add_argument(
|
||||
# "-s",
|
||||
# "--size",
|
||||
# default=(200,200),
|
||||
# help="Size each image should be.")
|
||||
"bigImagePath",
|
||||
help="The big image that will be used as the 'guide'.")
|
||||
parser.add_argument(
|
||||
"tilesDir",
|
||||
help="Directory full of images to be used as the tiles.")
|
||||
parser.add_argument(
|
||||
"output",
|
||||
help="File to be outputed.")
|
||||
parser.add_argument(
|
||||
"--matrix-size",
|
||||
dest="matrixSize",
|
||||
nargs=2,
|
||||
type=int,
|
||||
help="Size of the tile matrix. A 40x20 matrix would be '40 20'")
|
||||
parser.add_argument(
|
||||
"--tile-alpha",
|
||||
dest="tileAlpha",
|
||||
default=50,
|
||||
help="Alpha channel value of the color filter that is applied to each \
|
||||
tile. Range should be 0-255.")
|
||||
parser.add_argument(
|
||||
"--big-alpha",
|
||||
dest="bigAlpha",
|
||||
default=50,
|
||||
help="Alpha channel value of big image when it is transposed onto the \
|
||||
matrix. Range should be 0-255")
|
||||
args = parser.parse_args()
|
||||
|
||||
if args.matrixSize:
|
||||
args.matrixSize = tuple(args.matrixSize)
|
||||
|
||||
mosiac = Mosiac()
|
||||
mosiac.openBigImage(os.path.join(args.root, "big.jpg"))
|
||||
mosiac.initImageBank(args.root)
|
||||
mosiac.openBigImage(args.bigImagePath, args.matrixSize)
|
||||
mosiac.initImageBank(args.tilesDir)
|
||||
# mosiac.debugImageBank()
|
||||
mosiac.initClusters()
|
||||
mosiac.buildMatrix()
|
||||
mosiac.buildMosiac(args.root)
|
||||
mosiac.buildMatrix(args.tileAlpha)
|
||||
mosiac.buildMosiac(args.output, args.bigAlpha)
|
||||
|
|
Loading…
Reference in New Issue
Block a user