python答题系统的代码_答题辅助python代码实现

本文实例为大家分享了答题辅助python具体代码，供大家参考，具体内容如下

from screenshot import pull_screenshot

import time, urllib.request

try:

import Image

except ImportError:

from PIL import Image, ImageDraw

import pytesseract

# 屏幕顶端到问题的距离/屏幕高度，随分辨率变化（默认1920*1080）

top_off_c = 0.15

# 问题高度

que_h = 300

# 答案高度

ans_h = 170

# 左右偏移量

l_r_off = 40

def check(question, ans):

q_url = "http://www.baidu.com/s?word=" + urllib.parse.quote(question)

resp = urllib.request.urlopen(q_url)

print(resp.read().decode("utf-8"))

def draw():

img = Image.open('autojump.png')

w, h = img.size

draw = ImageDraw.Draw(img)

draw.line((40, h * 0.15, w - 40, h * 0.15), fill="red")

draw.line((40, h * 0.15 + 300, w - 40, h * 0.15 + 300), fill="red")

draw.line((40, h * 0.15 + 470, w * 0.7, h * 0.15 + 470), fill="red")

draw.line((40, h * 0.15 + 640, w * 0.7, h * 0.15 + 640), fill="red")

draw.line((40, h * 0.15 + 810, w * 0.7, h * 0.15 + 810), fill="red")

img.show()

def main():

while True:

print(">>>>>>")

pull_screenshot()

img = Image.open('autojump.png')

img = img.convert('L')

w, h = img.size

img_q = img.crop((l_r_off, h * top_off_c, w - l_r_off, h * top_off_c + que_h))

img_a = img.crop((l_r_off, h * top_off_c + que_h, w * 0.7, h * top_off_c + que_h + ans_h))

img_b = img.crop((l_r_off, h * top_off_c + que_h + ans_h, w * 0.7, h * top_off_c + que_h + ans_h * 2))

img_c = img.crop((l_r_off, h * top_off_c + que_h + ans_h * 2, w * 0.7, h * top_off_c + que_h + ans_h * 3))

question = pytesseract.image_to_string(img_q, lang='chi_sim')

ans_a = pytesseract.image_to_string(img_a, lang='chi_sim')

ans_b = pytesseract.image_to_string(img_b, lang='chi_sim')

ans_c = pytesseract.image_to_string(img_c, lang='chi_sim')

question = question.replace(" ", "").replace(".", "")

ans = ["1", "1", "1"]

ans[0] = ans_a.replace(" ", "").replace(".", "")

ans[1] = ans_b.replace(" ", "").replace(".", "")

ans[2] = ans_c.replace(" ", "").replace(".", "")

print(question.replace(" ", "").replace(".", ""))

print(ans)

check(question, ans)

# draw()

time.sleep(1)

if __name__ == '__main__':

main()

文字识别

sudo pip3 install pytesseract

sudo apt-get install tesseract-ocr

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持脚本之家。