def test4():
imlist = imtools.get_imlist(data_path)
averageim = imtools.compute_average(imlist)
figure()
imshow(averageim)
show()
from PIL import Image
import numpy as np
import imtools
image: np.ndarray = np.array(Image.open('demo.png').convert('L'))
image_after, cdf = imtools.histequal(image)
image_after = Image.fromarray(np.uint8(image_after))
image_after.show()
image_avg = imtools.compute_average(['demo.png', 'pil_image'])
image_avg = Image.fromarray(image_avg)
image_avg.show()
#reload(sift)
reload(homography)
reload(imtools)
"""前回のプログラム"""
#3.2.3
xmlFileName = 'jkfaces2008_small/jkfaces.xml'
points = imregistration.read_points_from_xml(xmlFileName)
#位置合わせする
imregistration.rigid_alignment(points,'jkfaces2008_small/')
""" """
# 平均画像の比較
imlist = imtools.get_imlist('jkfaces2008_small/')
avgim = imtools.compute_average(imlist)
plt.subplot(1,2,1)
plt.imshow(avgim)
plt.axis('off')
imlist = imtools.get_imlist('jkfaces2008_small/aligned/')
avgim_aligned = imtools.compute_average(imlist)
plt.subplot(1,2,2)
plt.imshow(avgim_aligned)
plt.axis('off')
#マスクの作成
imlist = imtools.get_imlist('jkfaces2008_small/')
im = np.array(Image.open(imlist[0]))
m,n = im.shape[0:2]
#im.shape[0:1]->(400L,)となり、カンマまでになってしまうので[0:2]までにした
imnbr = len(imlist)
#!/usr/bin/python
# -*- coding: utf-8 -*-
from pylab import *
import imtools
for dir in ('jkfaces2008_small', 'jkfaces2008_small/aligned'):
imlist = imtools.get_imlist(dir)
avgimg = imtools.compute_average(sorted(imlist)[:150])
figure()
imshow(avgimg)
gray()
axis('off')
title(dir)
show()
from PIL import Image from pylab import * import imtools avg = imtools.compute_average(['coffee.jpeg', 'board.jpeg', 'sea.jpeg']) imshow(avg) show()
# -*- coding: utf-8 -*-
# from PCV.tools.imtools import get_imlist
from PIL import Image
from pylab import *
# from PCV.tools import imtools
import imtools
from imtools import get_imlist
# 添加中文字体支持
# from matplotlib.font_manager import FontProperties
# font = FontProperties(fname=r"c:\windows\fonts\SimSun.ttc", size=14)
from matplotlib.font_manager import FontProperties
font = FontProperties(fname="/System/Library/Fonts/PingFang.ttc", size=14)
filelist = get_imlist('../data/avg/') #获取convert_images_format_test文件夹下的图片文件名(包括后缀名)
avg = imtools.compute_average(filelist)
for impath in filelist:
im1 = array(Image.open(impath))
subplot(2, 2, filelist.index(impath)+1)
imshow(im1)
imNum=str(filelist.index(impath)+1)
title(u'待平均图像'+imNum, fontproperties=font)
axis('off')
subplot(2, 2, 4)
imshow(avg)
title(u'平均后的图像', fontproperties=font)
axis('off')
show()
#!/usr/bin/python
# -*- coding: utf-8 -*-
from pylab import *
import imtools
imlist = imtools.get_imlist('a_thumbs')
avgimg = imtools.compute_average(imlist)
imshow(avgimg)
gray()
axis('off')
show()
#im1 = np.array(Image.open('/home/jcshin/Pictures/trumper.jpg'))
im1 = np.array(Image.open('/home/jcshin/Pictures/trumper.jpg').convert('L'))
im4 = np.array(Image.open('/home/jcshin/Pictures/car.jpg').convert('L'))
im5 = np.array(Image.open('/home/jcshin/Pictures/castle.jpg').convert('L'))
# Simple Image Processing
#im2 = 255 - im1 # inversion
#im2 = np.uint8((100.0/255)*im1 + 100)
#im2 = 255.0*(im1/255.0)**2
# Histogram Equalization
#im2, cdf = imtools.histeq(im1)
# Image Averaging
im2 = imtools.compute_average(['/home/jcshin/Pictures/trumper.jpg','/home/jcshin/Pictures/car.jpg'])
# scipy.misc image resize
#im2 = scipy.misc.imresize(im4,im1.shape,interp='bilinear')
print im1.dtype, im1.shape, im1.min(), im1.max(), im1.mean()
print im2.dtype, im2.shape, im2.min(), im2.max(), im2.mean()
#cv2.imshow('im2',im2)
plt.figure()
plt.gray()
plt.subplot(211); plt.imshow(im1); plt.axis('equal'); plt.axis('off')
plt.subplot(212); plt.imshow(im2); plt.axis('equal'); plt.axis('off')
plt.show()
