ocr大pk（阿里读光，百度，face++，有道）

我会带着你远行 2022-11-12 04:28 211阅读 0赞

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# **阿里读光** #

#https://market.aliyun.com/products/57124001/cmapi023866.html?spm=a2c0j.8222507.973837.1.4dd8e532YZ2wUE#sku=yuncode1786600000
    #https://market.aliyun.com/products/57124001/cmapi028554.html?spm=a2c0j.8222507.1092900.1.4dd8e532YZ2wUE#sku=yuncode2255400000
    
    #图像数据：base64编码，要求base64编码后大小不超过4M，最短边至少15px，最长边最大4096px，支持jpg/png/bmp格式，和url参数只能同时存在一个\"img\":\"\",
    #图像url地址：图片完整URL，URL长度不超过1024字节，URL对应的图片base64编码后大小不超过4M，最短边至少15px，最长边最大4096px，支持jpg/png/bmp格式，和img参数只能同时存在一个\"url\":\"\",
    #是否需要识别结果中每一行的置信度，默认不需要。true：需要false：不需要\"prob\":false,
    #是否需要单字识别功能，默认不需要。true：需要false：不需要\"charInfo\":false,
    #是否需要自动旋转功能，默认不需要。true：需要false：不需要\"rotate\":false,
    #是否需要表格识别功能，默认不需要。true：需要false：不需要\"table\":false
    import urllib
    import urllib.request
    import urllib.parse
    import json
    import ssl
    import base64
    import cv2
    
    class ALI_OCR():
        def __init__(self):
            """ APPID AK SK """
            self.APPCODE = '47fcde151a52426db0f61fede1c69507'
            #self.APPCODE = 'cb1f7559255140ab989d319be313c1b7'
    
            #印刷文字识别－文档小说图片文字识别
            self.url="https://ocrapi-document.taobao.com/ocrservice/document"
            #通用文字识别－高精版
            #self.url="https://ocrapi-advanced.taobao.com/ocrservice/advanced"
    
            self.headers = {
             'Authorization': 'APPCODE '+self.APPCODE,
             'Content-Type': 'application/json; charset=UTF-8'
        }
        """ 读取图片 """
        def get_file_content(self,filePath):
            with open(filePath, 'rb') as fp:
                return base64.b64encode(fp.read())
        def draw_rectangle(self,img,coordinate_list,color):
            cv2.line(img,(int(coordinate_list[0]["x"]),int(coordinate_list[0]["y"])),(int(coordinate_list[1]["x"]),int(coordinate_list[1]["y"])),color,thickness=2)
            cv2.line(img,(int(coordinate_list[1]["x"]),int(coordinate_list[1]["y"])),(int(coordinate_list[2]["x"]),int(coordinate_list[2]["y"])),color,thickness=2)
            cv2.line(img,(int(coordinate_list[2]["x"]),int(coordinate_list[2]["y"])),(int(coordinate_list[3]["x"]),int(coordinate_list[3]["y"])),color,thickness=2)
            cv2.line(img,(int(coordinate_list[3]["x"]),int(coordinate_list[3]["y"])),(int(coordinate_list[0]["x"]),int(coordinate_list[0]["y"])),color,thickness=2)
    
            return img
    
        def process(self,image_name):
            try:
                img = self.get_file_content(image_name).decode()
                dict = {'img': img,'prob': 'false'}
                params=json.dumps(dict).encode(encoding='UTF8')
                req = urllib.request.Request(self.url, params,self.headers)
                
                ctx = ssl.create_default_context()
                ctx.check_hostname = False
                ctx.verify_mode = ssl.CERT_NONE
    
                r = urllib.request.urlopen(req, context=ctx)
                html =r.read()
                return html.decode("utf8")
            except urllib.error.HTTPError as e:
                print(e.code)
                print(e.read().decode("utf8"))
    
        def save_result_pic_txt(self,input_img,input_json,save_pic=True,save_txt=True,save_dir="./result/"):
            result_json=json.loads(input_json)
            img=cv2.imread(input_img)
            if save_txt:
                txt_name=save_dir+input_img.split("/")[-1].split(".")[0]+".txt"
                file_writer=open(txt_name,"w",encoding="utf-8")
                for lines in result_json["prism_wordsInfo"]:
                    coordinate_list=lines["pos"]
                    img=scan_ocr.draw_rectangle(img,coordinate_list,color=(0,0,255))
                    print(lines['word'])
                    file_writer.write(lines['word']+"\n")
                file_writer.close()
            if save_pic:
                #cv2.imshow("result",img)
                #cv2.waitKey()
                cv2.imwrite(save_dir+input_img.split("/")[-1],img)
    
    
    if __name__=="__main__":
        scan_ocr=ALI_OCR()
        image_name='test.png'
        result_str=scan_ocr.process(image_name)
        scan_ocr.save_result_pic_txt(image_name,result_str,save_pic=True,save_txt=True,save_dir="./result_ali/")

# **百度** #

# coding=utf-8
    ##https://cloud.baidu.com/doc/OCR/OCR-Python-SDK.html
    import os
    import cv2
    from aip import AipOcr
    
    #pip3 install baidu-aip
    
    
    class BAIDU_OCR():
        def __init__(self):
            """ APPID AK SK """
            """
            self.APP_ID = '10122282'
            self.API_KEY = 'weGcK2iHjzOA80VnwT14d1yZ'
            self.SECRET_KEY = '8z7YkTPNF6rS4a6l6F98Fc5a06cvLM44'
            """
            self.APP_ID = '10122118'
            self.API_KEY = 'LI8ZEszLmscbLwYN38azHGgG'
            self.SECRET_KEY = '2aWkfvdHXNUVrXzdVvA6nBQxoeIgbvbG'
    
            self.client = AipOcr(self.APP_ID, self.API_KEY, self.SECRET_KEY)
    
        """ 读取图片 """
        def get_file_content(self,filePath):
            with open(filePath, 'rb') as fp:
                return fp.read()
    
        def process(self,image_name):
            image = self.get_file_content(image_name)
            """ 调用通用文字识别（含位置信息版）, 图片参数为本地图片 """
            result=self.client.general(image)
            """ 调用通用文字识别（含位置高精度版） """
            #result=self.client.accurate(image)
            return result
    
        def save_result_pic_txt(self,input_img,input_json,save_pic=True,save_txt=True,save_dir="./result/"):
            img=cv2.imread(input_img)
            if save_txt:
                txt_name=save_dir+input_img.split("/")[-1].split(".")[0]+".txt"
                file_writer=open(txt_name,"w",encoding="utf-8")
                for word_result in result["words_result"]:
                    x1=word_result["location"]["left"]
                    y1=word_result["location"]["top"]
                    x2=x1+word_result["location"]["width"]
                    y2=y1+word_result["location"]["height"]
                    cv2.rectangle(img,(x1,y1),(x2,y2),color=(0,0,255),thickness=2)
                    file_writer.write(word_result["words"]+"\n")
                    print(word_result["words"])
                file_writer.close()
            if save_pic:
                #cv2.imshow("result",img)
                #cv2.waitKey()
                cv2.imwrite(save_dir+input_img.split("/")[-1],img)
    
    if __name__=="__main__":
        scan_ocr=BAIDU_OCR()
        image_name='test.png'
        result=scan_ocr.process(image_name)
        scan_ocr.save_result_pic_txt(image_name,result,save_pic=True,save_txt=True,save_dir="./result_baidu/")

# **face++** #

#https://console.faceplusplus.com.cn/documents/7776484
    #图片要求：
    #图片格式：JPG(JPEG)，PNG
    #图片像素尺寸：最小48*48像素，最大800*800像素
    #图片文件大小：2MB
    import requests
    from json import JSONDecoder
    import json
    import cv2
    
    
    class FACEPLUSPLUS_OCR():
        def __init__(self):
            """ APPID AK SK """
            self.api_key = "1mCONgxd9oRMjezN9PJd0l-hjdqVT5xS"
            self.api_secret="FrX9rbKZi6CNsiN8ee-ISaVnRhRVkPTc"
    
            self.url="https://api-cn.faceplusplus.com/imagepp/v1/recognizetext"
            self.data = {"api_key": self.api_key, "api_secret": self.api_secret}
    
        def draw_rectangle(self,img,coordinate_list,color):
            cv2.line(img,(int(coordinate_list[0]["x"]),int(coordinate_list[0]["y"])),(int(coordinate_list[1]["x"]),int(coordinate_list[1]["y"])),color,thickness=2)
            cv2.line(img,(int(coordinate_list[1]["x"]),int(coordinate_list[1]["y"])),(int(coordinate_list[2]["x"]),int(coordinate_list[2]["y"])),color,thickness=2)
            cv2.line(img,(int(coordinate_list[2]["x"]),int(coordinate_list[2]["y"])),(int(coordinate_list[3]["x"]),int(coordinate_list[3]["y"])),color,thickness=2)
            cv2.line(img,(int(coordinate_list[3]["x"]),int(coordinate_list[3]["y"])),(int(coordinate_list[0]["x"]),int(coordinate_list[0]["y"])),color,thickness=2)
    
            return img
    
        def process(self,image_name):
            try:
                files = {"image_file": open(image_name, "rb")}
    
                response = requests.post(self.url, data=self.data, files=files)
                req_con = response.content.decode('utf-8')
                req_dict = JSONDecoder().decode(req_con)
    
                return req_dict
            except Exception as e:
                print(e)
    
        def save_result_pic_txt(self,input_img,input_json,save_pic=True,save_txt=True,save_dir="./result/"):
            img=cv2.imread(input_img)
            if save_txt:
                txt_name=save_dir+input_img.split("/")[-1].split(".")[0]+".txt"
                file_writer=open(txt_name,"w",encoding="utf-8")
                for objects in input_json["result"]:
                    print(objects["value"])
                    file_writer.write(objects["value"]+"\n")
                    for lines in objects["child-objects"]:
                        coordinate_list=lines["position"]
                        img=scan_ocr.draw_rectangle(img,coordinate_list,color=(0,0,255))
                        #print(lines['value'])
    
                file_writer.close()
            if save_pic:
                #cv2.imshow("result",img)
                #cv2.waitKey()
                cv2.imwrite(save_dir+input_img.split("/")[-1],img)
    
    
    if __name__=="__main__":
        scan_ocr=FACEPLUSPLUS_OCR()
        image_name='test.png'
        result_json=scan_ocr.process(image_name)
        scan_ocr.save_result_pic_txt(image_name,result_json,save_pic=True,save_txt=True,save_dir="./result_faceplusplus/")

# **有道** #

#/usr/bin/env python
    #coding=utf8
    ##http://ai.youdao.com/docs/doc-ocr-api.s#p01
    
    
    import hashlib
    import urllib
    import urllib.request
    import random
    import json
    import base64
    import cv2
    
    
    
    
    httpClient = None
    
    
    
    class YOUDAO_OCR():
        def __init__(self):
            """ APPID AK SK """
    
            #self.appKey = '7b02eb435b51584d'
            #self.secretKey = '5nr7r2QO0fS6J4fNRwVgiqNVOhjA6ZBw'
            
            self.appKey = '054adec25ae90a75'
            self.secretKey = 'Fe894uffWfQv5KMy77olO8wODVlt0dRw'
            
            #按字识别:10011,按行识别:10012
            self.detectType = '10012'
            #1,表示base64
            self.imageType = '1'
            #中英混合:zh-en,英文:en
            self.langType = 'zh-en'
            self.salt = random.randint(1, 65536)
            self.url='http://openapi.youdao.com/ocrapi'
    
        """ 读取图片 """
        def get_file_content(self,filePath):
            with open(filePath, 'rb') as fp:
                return base64.b64encode(fp.read())
        def draw_rectangle(self,img,coordinate_list,color):
            cv2.line(img,(int(coordinate_list[0]),int(coordinate_list[1])),(int(coordinate_list[2]),int(coordinate_list[3])),color,thickness=2)
            cv2.line(img,(int(coordinate_list[2]),int(coordinate_list[3])),(int(coordinate_list[4]),int(coordinate_list[5])),color,thickness=2)
            cv2.line(img,(int(coordinate_list[4]),int(coordinate_list[5])),(int(coordinate_list[6]),int(coordinate_list[7])),color,thickness=2)
            cv2.line(img,(int(coordinate_list[6]),int(coordinate_list[7])),(int(coordinate_list[0]),int(coordinate_list[1])),color,thickness=2)
            return img
    
        def process(self,image_name):
            try:
                img = self.get_file_content(image_name)
                sign = self.appKey+img.decode()+str(self.salt)+self.secretKey
                m1 = hashlib.md5()
                m1.update(sign.encode("utf8"))
                sign = m1.hexdigest()
                data = {'appKey':self.appKey,'img':img,'detectType':self.detectType,'imageType':self.imageType,'langType':self.langType,'salt':str(self.salt),'sign':sign}
                data = urllib.parse.urlencode(data).encode(encoding='utf-8')
                req = urllib.request.Request(self.url,data)
                #response是HTTPResponse对象
                response = urllib.request.urlopen(req)
                output_str=response.read().decode('utf-8')
                return output_str
            except Exception as e:
                print ("except:",e)
            finally:
                if httpClient:
                    httpClient.close()
                    return ""
    
        def save_result_pic_txt(self,input_img,input_json,save_pic=True,save_txt=True,save_dir="./result/"):
            result_json=json.loads(input_json)
            img=cv2.imread(input_img)
            if save_txt:
                txt_name=save_dir+input_img.split("/")[-1].split(".")[0]+".txt"
                file_writer=open(txt_name,"w",encoding="utf-8")
                for regions in result_json["Result"]["regions"]:
                    img=scan_ocr.draw_rectangle(img,regions["boundingBox"].split(','),color=(0,255,0))
                    for lines in regions['lines']:
                        coordinate_list=lines["boundingBox"]
                        img=scan_ocr.draw_rectangle(img,coordinate_list.split(','),color=(0,0,255))
                        print(lines['text'])
                        file_writer.write(lines['text']+"\n")
                file_writer.close()
            if save_pic:
                #cv2.imshow("result",img)
                #cv2.waitKey()
                cv2.imwrite(save_dir+input_img.split("/")[-1],img)
    
    
    if __name__=="__main__":
        scan_ocr=YOUDAO_OCR()
        image_name='test.png'
        result_str=scan_ocr.process(image_name)
        scan_ocr.save_result_pic_txt(image_name,result_str,save_pic=True,save_txt=True,save_dir="./result_youdao/")

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