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Composition_code_for_train.py
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executable file
·133 lines (103 loc) · 4.4 KB
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##Copyright 2017 Adobe Systems Inc.
##
##Licensed under the Apache License, Version 2.0 (the "License");
##you may not use this file except in compliance with the License.
##You may obtain a copy of the License at
##
## http://www.apache.org/licenses/LICENSE-2.0
##
##Unless required by applicable law or agreed to in writing, software
##distributed under the License is distributed on an "AS IS" BASIS,
##WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
##See the License for the specific language governing permissions and
##limitations under the License.
##############################################################
#Set your paths here
#path to provided foreground images
fg_path = 'fg/'
#path to provided alpha mattes
a_path = 'mask/'
#Path to background images (MSCOCO)
bg_path = '/media/wenxuan/LargeDisk/wangxiny/Adobe_matting/train2017/'
#Path to folder where you want the composited images to go
out_path = '/media/wenxuan/LargeDisk/wangxiny/Adobe_matting/merged_new/'
out_fg_path = '/media/wenxuan/LargeDisk/wangxiny/Adobe_matting/fg/'
out_bg_path = '/media/wenxuan/LargeDisk/wangxiny/Adobe_matting/bg/'
out_alpha_path = '/media/wenxuan/LargeDisk/wangxiny/Adobe_matting/alpha/'
##############################################################
from PIL import Image
import os
import math
import time
import numpy as np
from scipy import misc
def composite4(fg, bg, a, w, h):
bbox = fg.getbbox()
bg = bg.crop((0,0,w,h))
fg_list = fg.load()
bg_list = bg.load()
a_list = a.load()
for y in range(h):
for x in range (w):
alpha = a_list[x,y] / 255.0
t = fg_list[x,y][0]
t2 = bg_list[x,y][0]
if alpha >= 1:
r = int(fg_list[x,y][0])
g = int(fg_list[x,y][1])
b = int(fg_list[x,y][2])
bg_list[x,y] = (r, g, b, 255)
elif alpha > 0:
r = int(alpha * fg_list[x,y][0] + (1-alpha) * bg_list[x,y][0])
g = int(alpha * fg_list[x,y][1] + (1-alpha) * bg_list[x,y][1])
b = int(alpha * fg_list[x,y][2] + (1-alpha) * bg_list[x,y][2])
bg_list[x,y] = (r, g, b, 255)
return bg
num_bgs = 100
fg_files = os.listdir(fg_path)
a_files = os.listdir(a_path)
bg_files = os.listdir(bg_path)
bg_iter = iter(bg_files)
for im_name in fg_files:
im = Image.open(fg_path + im_name);
a = Image.open(a_path + im_name);
bbox = im.size
w = bbox[0]
h = bbox[1]
if im.mode != 'RGB' and im.mode != 'RGBA':
im = im.convert('RGB')
bcount = 0
for i in range(num_bgs):
bg_name = next(bg_iter)
print (im_name + '_' + str(bcount))
#out.save(out_path + im_name[:len(im_name)-4] + '_' + str(bcount) + '.png', "PNG")
if os.path.exists(out_alpha_path + im_name[:len(im_name)-4] + '_' + str(bcount) + '.png'):
bcount += 1
continue
bg = Image.open(bg_path + bg_name)
if bg.mode != 'RGB':
bg = bg.convert('RGB')
bg_bbox = bg.size
bw = bg_bbox[0]
bh = bg_bbox[1]
wratio = w / bw
hratio = h / bh
ratio = wratio if wratio > hratio else hratio
if ratio > 1:
bg = bg.resize((math.ceil(bw*ratio),math.ceil(bh*ratio)), Image.BICUBIC)
bg = bg.crop((0,0,w,h))
fg = np.array(im)
alpha = np.array(a)
bng = np.array(bg)
alpha_3 = np.dstack((alpha,alpha,alpha)) / 255.0
out = fg * alpha_3 + bng * (1 - alpha_3)
fg = fg * alpha_3
#a.save(out_alpha_path + im_name[:len(im_name)-4] + '_' + str(bcount) + '.png', "PNG")
#bg.save(out_bg_path + im_name[:len(im_name)-4] + '_' + str(bcount) + '.png', "PNG")
#im.save(out_fg_path + im_name[:len(im_name)-4] + '_' + str(bcount) + '.png', "PNG")
#out = composite4(im, bg, a, w, h)
misc.imsave(out_alpha_path + im_name[:len(im_name)-4] + '_' + str(bcount) + '.png', alpha)
misc.imsave(out_bg_path + im_name[:len(im_name)-4] + '_' + str(bcount) + '.png', bng)
misc.imsave(out_fg_path + im_name[:len(im_name)-4] + '_' + str(bcount) + '.png', fg)
misc.imsave(out_path + im_name[:len(im_name)-4] + '_' + str(bcount) + '.png', out)
bcount += 1