Selenium + PhantomJS + python图片全屏截取+定位坐标+抠图+图片识别

Selenium + PhantomJS + python图片全屏截取+定位坐标+抠图+图片识别

1.原图片（全屏截图）

#设置浏览器参数，伪装成浏览器

dcap = dict(DesiredCapabilities.PHANTOMJS) #设置userAgent

dcap["phantomjs.page.settings.userAgent"] = ("Mozilla/5.0 (Macintosh; Intel Mac OS X 10.9; rv:25.0) Gecko/20100101 Firefox/25.0 ")

#打开浏览器

wb = webdriver.PhantomJS(desired_capabilities=dcap)

url = "http://m.maoyan.com/shows/149?_v_=yes"

wb.maximize_window()

wb.get(url)

imgelement = wb.find_element_by_xpath('//div[@class="showtime-list"]/table/tbody/tr[1]/td[3]/span/span')

#图片坐标

locations = imgelement.location

print(locations)

#图片大小

sizes = imgelement.size

print(sizes)

# 构造指数的位置

rangle = (int(locations['x']),int(locations['y']),int(locations['x'] + sizes['width']),int(locations['y'] + sizes['height']))

print rangle

# 截取当前浏览器

path1 = "/home/bingcheng/maoyan_shotImage/maoyan_PSeat_image/" + str(2)

path2 = "/home/bingcheng/maoyan_shotImage/maoyan_seat_image/" + str(2)

wb.save_screenshot(str(path1) + ".png")

# 打开截图切割

img = Image.open(str(path1) + ".png")

jpg = img.crop(rangle)

jpg.save(str(path2) + ".png")

print "图片截取成功!"

#图像识别

image = Image.open(str(path2) + ".png")

image.load()

code = pytesseract.image_to_string(image)

print "图片内容识别为："

print code

#关闭浏览器

wb.close()

print "结束"

2.定位坐标截图后的图片

Selenium + PhantomJS + python图片全屏截取+定位坐标+抠图+图片识别

3.识别后

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