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
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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()
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文字识别
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sudo pip3 install pytesseract
sudo apt-get install tesseract-ocr
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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服务器之家。
原文链接：https://www.cnblogs.com/lanqie/p/8290590.html