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November 29, 2016 05:30
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# -*- coding: utf-8 -*- | |
""" | |
Created on Sat May 02 15:29:29 2015 | |
@author: jyoshida-sci | |
""" | |
import cv2 | |
import numpy as np | |
import itertools | |
#cv2.namedWindow('trim') | |
markrad = 80 | |
template = np.zeros((markrad*2, markrad*2), np.uint8) | |
cv2.circle(template, (markrad,markrad), markrad, 1, -1) | |
grids = np.ones((markrad*2*4, markrad*2*5), np.uint8)*255 | |
rowlist = ([0,1], | |
[53,54], | |
[106,107], | |
[160,161]) | |
collist = (0,9,18,27,36) | |
img = np.ones((700,2048), np.uint8)*255 | |
f = open('gridmarks.txt', 'w') # 書き込みモードで開く | |
for c,r in itertools.product(range(len(collist)), range(len(rowlist))): | |
file0 = "{0:03}-{1:03}-000.bmp".format(collist[c],rowlist[r][0]) | |
aaa = cv2.imread(file0,cv2.CV_LOAD_IMAGE_GRAYSCALE) | |
img[0:358,0:2048] = aaa | |
file1 = "{0:03}-{1:03}-000.bmp".format(collist[c],rowlist[r][1]) | |
bbb = cv2.imread(file1,cv2.CV_LOAD_IMAGE_GRAYSCALE) | |
img[336:336+358,0:2048] = bbb | |
rev = np.zeros_like(img) | |
cv2.bitwise_not(img,rev) | |
res = cv2.matchTemplate(rev,template,eval("cv2.TM_CCORR_NORMED")) | |
min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res) | |
top_left = max_loc | |
#print file | |
#print max_val | |
#cv2.circle(img, max_loc, 3, 255, -1) | |
#bottom_right = (top_left[0] + w, top_left[1] + h) | |
#cv2.rectangle(img,top_left, bottom_right, (0,0,255), 2) | |
x = top_left[0] | |
y = top_left[1] | |
w, h = template.shape[::-1] | |
cx = x + w/2 | |
cy = y + h/2 | |
strings = "{0} {1} {2} {3}\n".format(cx, cy, collist[c], rowlist[r][0]) | |
print strings | |
f.write(strings) | |
grids[r*h:(r+1)*h, c*w:(c+1)*w] = img[y:y+h,x:x+w].copy() | |
#trim = img[y:y+h,x:x+w].copy() | |
#cv2.imshow('trim', trim) | |
#cv2.waitKey(0) | |
f.close() | |
cv2.imwrite('grids.bmp', grids) | |
cv2.destroyAllWindows() |
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