TA的每日心情 | 开心 2021-5-20 14:25 |
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签到天数: 1 天 连续签到: 1 天 [LV.1]测试小兵
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本帖最后由 jiguanghover 于 2013-5-14 08:56 编辑
1. 我使用python的subprocess直接执行monkey runner脚本,可以实现图片的比对,代码如下:
import subprocess
subprocess.Popen("xxx/android-sdk-linux_x86/tools/monkeyrunner AutoTesting/aaa/startApp.py", shell=True)
2. 以下是startApp.py的脚本:
from com.android.monkeyrunner import MonkeyRunner as mr,MonkeyDevice as md
import os
import sys
cate_name=["全部","居家","配饰"]
cate_x=[80,160,240]
cate_y=[100,160,220,280]
def startApp(d):
my_pack="com.meishi.test"
my_act=".SplashActivity"
my_compon=my_pack+'/'+my_act
d.startActivity(component=my_compon)
mr.sleep(10)
def screenShot(d):
result1=d.takeSnapshot()
result1.writeToFile("meishi_image/st1.png","png")
def changeCategory(d):
''' Open category selection list '''
#d.touch(160,50,md.DOWN_AND_UP)
k=1
rect=(80,30,150,30)
mr.sleep(3)
for i in xrange(3):
for j in xrange(4):
if i*j==6:
print i,j
break
d.touch(160,50,md.DOWN_AND_UP)
mr.sleep(2)
d.touch(cate_x,cate_y[j],md.DOWN_AND_UP)
mr.sleep(3)
img=d.takeSnapshot().getSubImage(rect)
img.writeToFile("meishi_image/shot%d.png"%k,"png")
k+=1
print "K is "+str(k)
def execCommand(d):
print "Start execute command"
command="python compare_image.py"
#command="ls -l"
os.system(command)
def main():
device=mr.waitForConnection()
if not device:
print "Device is not found!"
sys.exit()
else:
print "Device is connected!"
startApp(device)
screenShot(device)
changeCategory(device)
execCommand(device)
if __name__=="__main__":
main()
3. python有专门的图片比对代码,我就直接拿过来用了,以下是执行图片比对的脚本,compareImage.py:
import Image
def make_regalur_image(img, size = (256, 256)):
return img.resize(size).convert('RGB')
def split_image(img, part_size = (64, 64)):
w, h = img.size
pw, ph = part_size
assert w % pw == h % ph == 0
return [img.crop((i, j, i+pw, j+ph)).copy() \
for i in xrange(0, w, pw) \
for j in xrange(0, h, ph)]
def hist_similar(lh, rh):
assert len(lh) == len(rh)
return sum(1 - (0 if l == r else float(abs(l - r))/max(l, r)) for l, r in zip(lh, rh))/len(lh)
def calc_similar(li, ri):
# return hist_similar(li.histogram(), ri.histogram())
return sum(hist_similar(l.histogram(), r.histogram()) for l, r in zip(split_image(li), split_image(ri))) / 16.0
def calc_similar_by_path(lf, rf):
li, ri = make_regalur_image(Image.open(lf)), make_regalur_image(Image.open(rf))
return calc_similar(li, ri)
def make_doc_data(lf, rf):
li, ri = make_regalur_image(Image.open(lf)), make_regalur_image(Image.open(rf))
li.save(lf + '_regalur.png')
ri.save(rf + '_regalur.png')
fd = open('stat.csv', 'w')
fd.write('\n'.join(l + ',' + r for l, r in zip(map(str, li.histogram()), map(str, ri.histogram()))))
# print >>fd, '\n'
# fd.write(','.join(map(str, ri.histogram())))
fd.close()
import ImageDraw
li = li.convert('RGB')
draw = ImageDraw.Draw(li)
for i in xrange(0, 256, 64):
draw.line((0, i, 256, i), fill = '#ff0000')
draw.line((i, 0, i, 256), fill = '#ff0000')
li.save(lf + '_lines.png')
if __name__ == '__main__':
path = r'/AutoTesting/aaa/meishi_image/'
for i in xrange(1,12):
print calc_similar_by_path('./meishi_image/shot%d.png'%i,'./meishi_image/cate%d.png'%i) |
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