答题辅助python代码实现

Python  /  管理员 发布于 7年前   174

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_screenshotimport time, urllib.request try: import Imageexcept 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 pytesseractsudo 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。