python调用百度aip实现人脸识别+人体识别等等

老规矩上代码！！！！！！！！！
这次稍微说一点操作方法

python调用百度aip实现人脸识别+人体识别等等
反正你需要登陆百度云进入选择你人体识别然后下载jdk

下了过后新建一个文档包写入下列程序代码

coding=utf-8

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)