python调用百度aip实现人脸识别+人体识别等等

小灰灰 2022-04-04 12:51 323阅读 0赞

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)