Python实现图片识别加翻译功能

 # encoding:utf-8 import requests import base64 from PIL import Image import pytesseract # 这里需要安装一下 Tesseract-OCR # 链接：https://pan.baidu.com/s/1D2eODet7x9xshBVi6ZUZ_Q # 提取码：qfef # 安装好之后别忘了把Tesseract-OCR路径添加到环境变量中 import json import requests import keyboard #监听按键库 from PIL import ImageGrab #图像处理库 import time from aip import AipOcr #pip install baidu_aip # print("开始截图") # 1. 截取图片 keyboard.wait(hotkey='ctrl+alt+a') # print("键盘按下了'ctrl+alt+a'") keyboard.wait('enter') # print("键盘按下了'enter'") # 模拟延迟，来解决grabclipboard函数的缓存问题（grabclipboard函数操作太快，它就会读取上一次的内容） time.sleep(0.1) # 2. 保存图片到电脑上 image = ImageGrab.grabclipboard() image.save('screen.png-600') #************************************************************************************* request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/accurate_basic" # 二进制方式打开图片文件 f = open('screen.png-600', 'rb') img = base64.b64encode(f.read()) params = {"image":img} access_token = "你自己的access_token,百度AI里面有教程，我把网址放下面了" # https://ai.baidu.com/ai-doc/OCR/vk3h7y58v request_url = request_url + "?access_token=" + access_token headers = {'content-type': 'application/x-www-form-urlencoded'} response = requests.post(request_url, data=params, headers=headers) print("文字识别：") if response: locList = response.json()['words_result'] for i in locList: print(i['words']) print("\n翻译：") if response: locList = response.json()['words_result'] for i in locList: text = i['words'] ##================================================================================## # 翻译函数，word 需要翻译的内容 def translate(word): # 有道词典 api url = 'http://fanyi.youdao.com/translate?smartresult=dict&smartresult=rule&smartresult=ugc&sessionFrom=null' # 传输的参数，其中 i 为需要翻译的内容 key = { 'type': "AUTO", 'i': word, "doctype": "json", "version": "2.1", "keyfrom": "fanyi.web", "ue": "UTF-8", "action": "FY_BY_CLICKBUTTON", "typoResult": "true" } # key 这个字典为发送给有道词典服务器的内容 response = requests.post(url, data=key) # 判断服务器是否相应成功 if response.status_code == 200: # 然后相应的结果 return response.text else: print("有道词典调用失败") # 失败就返回空 return None def get_reuslt(repsonse): # 通过 json.loads 把返回的结果加载成 json 格式 result = json.loads(repsonse) print("%s" % result['translateResult'][0][0]['tgt']) def main(): list_trans = translate(text) get_reuslt(list_trans) if __name__ == '__main__': main()