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from aip import AipFace from aip import AipBodyAnalysis import pymysql # 导入 pymysql from PIL import Image import base64

fenXiResult = {} '''人体''' def RenTi(): """ 你的 APPID AK SK """ APP_ID = '14874519' # 你的 App ID API_KEY = 'T5cwSFY5bPOfOGEXMFMy2Rt6' # 你的 Api Key' SECRET_KEY = 'bvvgT8LXjG79NOIleaPFx7ODy60Vc02c ' # 你的 Secret Key client = AipBodyAnalysis(APP_ID, API_KEY, SECRET_KEY) return client '''人脸''' def RenLian(): APP_ID = '14874519' # 你的 App ID API_KEY = 'T5cwSFY5bPOfOGEXMFMy2Rt6' # 你的 Api Key' SECRET_KEY = 'bvvgT8LXjG79NOIleaPFx7ODy60Vc02c ' # 你的 Secret Key client = AipFace(APP_ID, API_KEY, SECRET_KEY) return client

'''人体分析''' def RenTiFenXi(filename): client = RenTi() """ 读取图片 """ def get_file_content(filePath): with open(filePath, 'rb') as fp: return fp.read() image = get_file_content(filename) """ 如果有可选参数 """ options = {} options["type"] = '''gender,age,lower_wear,headwear,glasses,upper_color,lower_color,upper_wear_fg, ,upper_wear_texture,bag,smoke,vehicle,carrying_item,cellphone,umbrella''' """ 带参数调用人体属性识别 """ result = client.bodyAttr(image, options) return result

'''人脸分析''' def RenLianFenXi(tupian): client = RenLian() f = open(tupian, 'rb') # 以二进制读方式打开图片 image = base64.b64encode(f.read()) # 将二进制串转为base64编码格式的字符串 f.close() image64 = str(image, 'utf-8') imageType = "BASE64" """ 如果有可选参数 """ options = {} options["face_field"] = "age,beauty,expression,gender,glasses,race,quality,face_type,faceshape" options["max_face_num"] = 10 # 最多处理人脸的数目，默认值为1，仅检测图片中面积最大的那个人脸；最大值10，检测图片中面积最大的几张人脸。 """ 带参数调用人脸检测 """ result = client.detect(image64, imageType, options) return result

'''人脸人体处理''' def RenLianRenTiChuLi(tupian): fenxi = RenLianFenXi(tupian) ''' 裁剪：传入一个元组作为参数元组里的元素分别是：（距离图片左边界距离x，距离图片上边界距离y，距离图片左边界距离+裁剪框宽度x+w，距离图片上边界距离+裁剪框高度y+h） ''' im = Image.open(tupian) # 传入图片 # 图片的宽度和高度 img_size = im.size i = 0 for num in fenxi['result']['face_list']: if num['face_probability'] > 0.3: if num['location']['left'] - num['location']['width'] <= 0: x = 0 else: x = num['location']['left'] - num['location']['width'] if num['location']['top'] - 40 <= 0: y = 0 else: y = num['location']['top'] - 40 w = x + num['location']['width'] * 3 h = y + img_size[1] - y region = im.crop((x, y, w, h)) filename = 'images/' + tupian[0:-4] + '_' + str(i) + '.jpg' i += 1 region.save(filename) renLianSouSu = RenLianSouSuo(filename) for renLianSouSuo in renLianSouSu['result']['user_list']: if renLianSouSuo['score'] <= 50: RenLianZhuCe(filename) fenXiResult['age'] = num['age'] # 年龄 fenXiResult['beauty'] = num['beauty'] # 美丑打分，范围0-100，越大表示越美 fenXiResult['expression'] = num['expression']['type'] # 表情 fenXiResult['face_shape'] = num['face_shape']['type'] # 脸型 fenXiResult['gender'] = num['gender']['type'] # 性别 fenXiResult['race'] = num['race']['type'] # 人种 fenXiResult['glasses'] = num['glasses']['type'] # 是否带眼镜 renT = RenTiFenXi(filename) for ren in renT['person_info']: renTi = ren['attributes'] fenXiResult['upper_color'] = renTi['upper_color']['name'] # 上半身衣着颜色 fenXiResult['lower_color'] = renTi['lower_color']['name'] # 下半身衣着颜色 fenXiResult['cellphone'] = renTi['cellphone']['name'] # 是否使用手机 fenXiResult['lower_wear'] = renTi['lower_wear']['name'] # 半身服饰 fenXiResult['headwear'] = renTi['headwear']['name'] # 是否戴帽子 fenXiResult['upper_wear_fg'] = renTi['upper_wear_fg']['name'] # 上身服饰细分类 fenXiResult['upper_wear_texture'] = renTi['upper_wear_texture']['name'] # 上身服饰纹理 fenXiResult['bag'] = renTi['bag']['name'] # 背包 fenXiResult['umbrella'] = renTi['umbrella']['name'] # 是否撑伞 fenXiResult['smoke'] = renTi['smoke']['name'] # 是否吸烟 fenXiResult['vehicle'] = renTi['vehicle']['name'] # 交通工具 '''存入数据库''' db = pymysql.connect(host="localhost", user="root", password="1998720", db="fenxi", port=3306) # 使用 cursor() 方法创建一个游标对象 cursor cursor = db.cursor() # SQL 插入语句 sql = """INSERT INTO result(age,beauty,expression,face_shape,gender,glasses,race,upper_color,lower_color,cellphone,lower_wear,headwear,upper_wear_fg,upper_wear_texture,umbrella,bag,smoke,vehicle) VALUES ('%s','%s','%s','%s','%s','%s','%s','%s','%s','%s','%s','%s','%s','%s','%s','%s','%s','%s')""" % (fenXiResult['age'],fenXiResult['beauty'],fenXiResult['expression'],fenXiResult['face_shape'],fenXiResult['gender'],fenXiResult['glasses'],fenXiResult['race'],fenXiResult['upper_color'],fenXiResult['lower_color'],fenXiResult['cellphone'],fenXiResult['lower_wear'],fenXiResult['headwear'],fenXiResult['upper_wear_fg'],fenXiResult['upper_wear_texture'],fenXiResult['umbrella'], fenXiResult['bag'],fenXiResult['smoke'],fenXiResult['vehicle']) try: # 执行sql语句 cursor.execute(sql) # 提交到数据库执行 db.commit() except: # 如果发生错误则回滚 db.rollback() else: print('人脸已存在') continue

'''人脸注册''' def RenLianZhuCe(filename): client = RenLian() f = open(filename, 'rb') # 以二进制读方式打开图片 image = base64.b64encode(f.read()) # 将二进制串转为base64编码格式的字符串 f.close() image64 = str(image, 'utf-8') imageType = "BASE64" groupId = "group1" userId = "user1" """ 调用人脸注册 """ client.addUser(image64, imageType, groupId, userId) '''人脸搜索''' def RenLianSouSuo(filename): client = RenLian() f = open(filename, 'rb') # 以二进制读方式打开图片 image = base64.b64encode(f.read()) # 将二进制串转为base64编码格式的字符串 f.close() image64 = str(image, 'utf-8') imageType = "BASE64" groupIdList = "group1"

""" 调用人脸搜索 """
result = client.search(image64, imageType, groupIdList)
return result

if name == 'main': tupian = 'xie.jpg' RenLianRenTiChuLi(tupian)

基于百度AI调用aip的人脸识别+人体识别（python）

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