├── README.md ├── data ├── at │ ├── .directory │ ├── 100000000001 │ │ └── 100000000001.pgm │ ├── 100000000002 │ │ └── 100000000002.pgm │ ├── 100000000003 │ │ └── 100000000003.pgm │ └── 100000000004 │ │ └── 100000000004.pgm ├── cascades │ ├── haarcascade_eye.xml │ ├── haarcascade_eye_tree_eyeglasses.xml │ ├── haarcascade_frontalcatface.xml │ ├── haarcascade_frontalface_alt.xml │ ├── haarcascade_frontalface_alt2.xml │ ├── haarcascade_frontalface_alt_tree.xml │ ├── haarcascade_frontalface_default.xml │ ├── haarcascade_fullbody.xml │ ├── haarcascade_lefteye_2splits.xml │ ├── haarcascade_licence_plate_rus_16stages.xml │ ├── haarcascade_lowerbody.xml │ ├── haarcascade_profileface.xml │ ├── haarcascade_righteye_2splits.xml │ ├── haarcascade_russian_plate_number.xml │ ├── haarcascade_smile.xml │ ├── haarcascade_upperbody.xml │ ├── lbpcascade_frontalface.xml │ └── lbpcascade_profileface.xml ├── font │ └── simhei.ttf ├── import │ ├── 100000000001.普京.png │ ├── 100000000002.克林顿.png │ ├── 100000000003.小布什.png │ ├── 100000000004.比尔盖茨.png │ ├── 100000000005.奥巴马.jpg │ └── 100000000006.特朗普.jpg ├── log │ ├── Hello World.py │ ├── import.log │ ├── search_img.log │ └── train_img.log ├── search_img │ ├── Screenshot from 2017-04-16 23-22-29.png │ └── Screenshot from 2017-04-16 23-22-29 │ │ ├── 20170416232248.pgm │ │ ├── 20170416232250.pgm │ │ ├── 20170416232251.pgm │ │ ├── 20170416232253.pgm │ │ ├── 20170416232254.pgm │ │ ├── 20170416232255.pgm │ │ ├── 20170416232258.pgm │ │ └── Screenshot from 2017-04-16 23-22-29.png ├── temp │ ├── Hello World.py │ ├── backup.md │ ├── exp.png │ └── tree.png └── train_img │ ├── 100000000002.克林顿.png │ ├── 100000000003.小布什.png │ └── 100000000004.比尔盖茨.png ├── face ├── DBConnect.py ├── DBConnect.pyc ├── FaceAPI.py ├── FaceAPI.pyc ├── __init__.py └── __init__.pyc ├── import.py ├── search_cam.py ├── search_img.py ├── train_cam.py ├── train_img.py └── upload.py /README.md: -------------------------------------------------------------------------------- 1 | 2 | 3 | ## 0x00 预览： 4 | ![](https://github.com/0x024/FRT/blob/master/data/temp/exp.png) 5 | ## 0x01 环境: 6 | 7 | - 便于同步,最新环境配置请到我的博客查看 8 | 9 | - [123.206.56.205](http://123.206.56.205) 10 | 11 | - 星期日, 30. 四月 2017 09:28下午 12 | 13 | 14 | -------------------------------------------------------------------------------- /data/at/.directory: -------------------------------------------------------------------------------- 1 | [Dolphin] 2 | PreviewsShown=true 3 | Timestamp=2015,3,23,22,12,50 4 | Version=3 5 | -------------------------------------------------------------------------------- /data/at/100000000001/100000000001.pgm: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/0x024/FRT/db02dac147db06b5ee358ae5130679868efc699a/data/at/100000000001/100000000001.pgm -------------------------------------------------------------------------------- /data/at/100000000002/100000000002.pgm: 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-------------------------------------------------------------------------------- 1 | Hello World 2 | -------------------------------------------------------------------------------- /data/temp/backup.md: -------------------------------------------------------------------------------- 1 | ## 0x00 预览： 2 | ![](https://github.com/0x024/FRT/blob/master/data/temp/exp.png) 3 | ## 0x01 环境: 4 | [![](https://img.shields.io/badge/Ubuntu-16.04LTS-brightgreen.svg)]() 5 | [![](https://img.shields.io/badge/Python-2.7-brightgreen.svg)]() 6 | [![](https://img.shields.io/badge/OpenCV-3.2.0-brightgreen.svg)]() 7 | [![](https://img.shields.io/badge/Mysql-5.7.*-brightgreen.svg)]() 8 | [![](https://img.shields.io/badge/phpmyadmin-*-brightgreen.svg)]() 9 | [![](https://img.shields.io/badge/ShadowSocks-Linux-brightgreen.svg)]() 10 | 11 | ``` 12 | curl安装： 13 | sudo apt-get install curl 14 | ``` 15 | 16 | ```python 17 | MySQLdb安装： 18 | sudo apt-get install python-pip 19 | sudo apt-get install libmysqlclient-dev 20 | pip install mysql-python 21 | ``` 22 | OpenCV 3.2.0——-关于如何安装OpenCV，这里就简单的说一下下， 23 | 24 | 25 | ``` 26 | 安装依赖包: 27 | sudo apt-get install build-essential 28 | sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev 29 | sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev                    libjasper-dev libdc1394-22-dev 30 | ``` 31 | 32 | ``` 33 | 从百度云上下载OpenCV的源码:So you can also download it in the official 34 | 链接: http://pan.baidu.com/s/1pKEgRyV 密码: r4qv #这个是最新的OpenCV3.2.0的代码 35 | 链接: http://pan.baidu.com/s/1bo8zIN1 密码: bmek #这个里面有一些模块，比如freetype，face，等需要用到 36 | ``` 37 | 官网的教程里面将两个包分开进行编译，但是里面的许多包我们确实用不到，所以，最好的办法，就是将./opencv_contrib/moudles/freetype和face文件夹直接复制到./opencv/moudles/下 38 | 39 | ``` 40 | 进行安装 41 | cd ~/opencv 42 | mkdir release 43 | cd release 44 | cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local .. 45 | make -j4 #这里的-j4代表怎么说好呢，反正越大，编译的速度越快 46 | sudo make install 47 | ``` 48 | 这里说一下了。在运行cmake的时候会下载几个文件，比如 49 | ``` 50 | ippicv_linux_20151201.tgz， 51 | ``` 52 | 需要挂代理，不挂代理无法完成camke！，关于如何在ubuntu上安装shadowsocks科学上网，我的博客也有写过， 53 | 54 | 55 | ## 0x02 目录树: 56 | ![image](https://github.com/0x024/FRT/blob/master/data/temp/tree.png) 57 | 58 | 59 | ## 0x03 执行: 60 | 61 | ``` 62 | 运行前， 63 | 64 | 需要将./face/FaceAPI.py中的api_key和api_secret换成你的 65 | (为了便于您测试,我以将我的key放在里面，为了防止多人使用outer_id冲突，希望您后期换成自己的) 66 | 需要将./face/FaceAPI.py中的outer_id设置成自己喜欢的标识 67 | 需要在搭建的MYSQL中创建一个FRT数据(要求排列顺序规则为：utf8_general_ci)库，并且事先在FRT 68 | 中创建一个表，表名和值可任意设置！ 69 | 需要将./face/Dbconnect.py中的数据库信息换成自己的 70 | 需要将所有的图片ID设置成12位数字 71 | 如果需要重新导入或者识别同一张照片，需要在.data/log/*.log 删除对应log即可 72 | ``` 73 | 74 | 75 | ``` 76 | python import.py   #将保存在./data/import/目录下的图片特征经分析后，将图片信息导入数据库，只可单人照片，要求图片清晰度较高 77 | ``` 78 | ``` 79 | python search_img.py   #将需要识别的图片放在./data/search_img/下，完成后保存在本目录（可放置多张） 80 | ``` 81 | ``` 82 | python search_cam.py   #实时识别人脸 (可识别多张脸)(Face++和深度学习一起识别) 83 | ``` 84 | ``` 85 | python train_img.py   #将需要训练的图片放在./data/train_img，处理后会放在./data/at下，提供训练素材，要求图片清晰度较高(单个照片可多脸) 86 | ``` 87 | ``` 88 | python train_cam.py   #实时识别人脸，将识别清楚的图片自动放置在./data/at/下，提供训练的素材 89 | ``` 90 | -------------------------------------------------------------------------------- /data/temp/exp.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/0x024/FRT/db02dac147db06b5ee358ae5130679868efc699a/data/temp/exp.png -------------------------------------------------------------------------------- /data/temp/tree.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/0x024/FRT/db02dac147db06b5ee358ae5130679868efc699a/data/temp/tree.png -------------------------------------------------------------------------------- /data/train_img/100000000002.克林顿.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/0x024/FRT/db02dac147db06b5ee358ae5130679868efc699a/data/train_img/100000000002.克林顿.png -------------------------------------------------------------------------------- /data/train_img/100000000003.小布什.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/0x024/FRT/db02dac147db06b5ee358ae5130679868efc699a/data/train_img/100000000003.小布什.png -------------------------------------------------------------------------------- /data/train_img/100000000004.比尔盖茨.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/0x024/FRT/db02dac147db06b5ee358ae5130679868efc699a/data/train_img/100000000004.比尔盖茨.png -------------------------------------------------------------------------------- /face/DBConnect.py: -------------------------------------------------------------------------------- 1 | import MySQLdb 2 | def dbconnect(): 3 | conn = MySQLdb.connect(host='localhost',port=3306,user='root',passwd='ubuntu',db='FRT',charset="utf8") 4 | return conn 5 | -------------------------------------------------------------------------------- /face/DBConnect.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/0x024/FRT/db02dac147db06b5ee358ae5130679868efc699a/face/DBConnect.pyc -------------------------------------------------------------------------------- /face/FaceAPI.py: -------------------------------------------------------------------------------- 1 | import os 2 | import json 3 | from subprocess import Popen,PIPE 4 | api_key="PxcWNl91AtsF51DiaeUhNYZXS18vu6_3" 5 | api_secret="HHWh27sBEcjzm4Nta4ZEIMisjLhRX5vA" 6 | outer_id="0x024" 7 | path='./data/log' 8 | 9 | def detect(image_file,return_landmark=0): 10 | result=Popen('curl -X POST "https://api-cn.faceplusplus.com/facepp/v3/detect" -F \ 11 | "api_key={api_key}" -F \ 12 | "api_secret={api_secret}" -F \ 13 | "image_file=@{image_file}" -F \ 14 | "return_attributes=gender,age,smiling,glass,headpose,facequality,blur" -F \ 15 | "return_landmark={return_landmark}"' 16 | .format(api_key=api_key,api_secret=api_secret,image_file=image_file,return_landmark=return_landmark),shell=True,stdout=PIPE) 17 | wait="" 18 | result=(result.stdout.read()) 19 | with open("{path}/detect.json".format(path=path),"w+") as f: 20 | f.write(result) 21 | with open("{path}/detect.json".format(path=path)) as f: 22 | result=json.load(f) 23 | os.remove('{path}/detect.json'.format(path=path)) 24 | return result 25 | 26 | # if __name__ == '__main__': 27 | # result=detect(image_file="../data/wenzhang.jpg",return_landmark=1) 28 | # print result 29 | 30 | 31 | 32 | def compareTtoT(face_token_1,face_token_2): 33 | result=Popen('curl -X POST "https://api-cn.faceplusplus.com/facepp/v3/compare" -F \ 34 | "api_key={api_key}" -F \ 35 | "api_secret={api_secret}" -F \ 36 | "face_token1={face_token_1}" -F \ 37 | "face_token2={face_token_2}"' 38 | .format(api_key=api_key,api_secret=api_secret,face_token_1=face_token_1,face_token_2=face_token_2),shell=True,stdout=PIPE) 39 | wait="" 40 | result=(result.stdout.read()) 41 | with open("{path}/compare.json".format(path=path),"w+") as f: 42 | f.write(result) 43 | with open("{path}/compare.json".format(path=path)) as f: 44 | result=json.load(f) 45 | os.remove('{path}/compare.json'.format(path=path)) 46 | return result 47 | 48 | 49 | 50 | # if __name__ == '__main__': 51 | # result=compareTtoT(face_token_1='6635c06a425fc964ae5d14a959f3331e',face_token_2='abaab7aeefb818ad0f766ed3cc5d799b') 52 | # confidence=result["confidence"] 53 | # print"confidence:{}".format(confidence) 54 | 55 | 56 | def compareItoT(image_file,face_token): 57 | result=Popen('curl -X POST "https://api-cn.faceplusplus.com/facepp/v3/compare" -F \ 58 | "api_key={api_key}" -F \ 59 | "api_secret={api_secret}" -F \ 60 | "image_file1=@{image_file}" -F \ 61 | "face_token2={face_token}"' 62 | .format(api_key=api_key,api_secret=api_secret,image_file=image_file,face_token=face_token),shell=True,stdout=PIPE) 63 | wait="" 64 | result=(result.stdout.read()) 65 | with open("{path}/compare.json".format(path=path),"w+") as f: 66 | f.write(result) 67 | with open("{path}/compare.json".format(path=path)) as f: 68 | result=json.load(f) 69 | os.remove('{path}/compare.json'.format(path=path)) 70 | return result 71 | 72 | 73 | # if __name__ == '__main__': 74 | # result=compareItoT(image_file='../data/wenzhang.jpg',face_token='abaab7aeefb818ad0f766ed3cc5d799b') 75 | # confidence=result["confidence"] 76 | # print"confidence:{}".format(confidence) 77 | 78 | 79 | def searchTtoI(face_token,return_result_count=1): 80 | result=Popen('curl -X POST "https://api-cn.faceplusplus.com/facepp/v3/search" -F \ 81 | "api_key={api_key}" -F \ 82 | "api_secret={api_secret}" -F \ 83 | "face_token={face_token}" -F \ 84 | "outer_id={outer_id}" -F \ 85 | "return_result_count={return_result_count}"' 86 | .format(api_key=api_key,api_secret=api_secret,face_token=face_token,outer_id=outer_id,return_result_count=return_result_count),shell=True,stdout=PIPE) 87 | wait="" 88 | result=(result.stdout.read()) 89 | with open("{path}/search.json".format(path=path),"w+") as f: 90 | f.write(result) 91 | with open("{path}/search.json".format(path=path)) as f: 92 | result=json.load(f) 93 | os.remove('{path}/search.json'.format(path=path)) 94 | return result 95 | 96 | # if __name__ == '__main__': 97 | # result=searchTtoI(face_token="f298edb8c094c5ac2883413320d8ef7f") 98 | # print result 99 | 100 | 101 | 102 | def searchItoI(image_file,return_result_count=1): 103 | result=Popen('curl -X POST "https://api-cn.faceplusplus.com/facepp/v3/search" -F \ 104 | "api_key={api_key}" -F \ 105 | "api_secret={api_secret}" -F \ 106 | "image_file=@{image_file}" -F \ 107 | "outer_id={outer_id}" -F \ 108 | "return_result_count=1" -F \ 109 | "return_result_count={return_result_count}"' 110 | .format(api_key=api_key,api_secret=api_secret,image_file=image_file,outer_id=outer_id,return_result_count=return_result_count),shell=True,stdout=PIPE) 111 | wait="" 112 | result=(result.stdout.read()) 113 | with open("{path}/search.json".format(path=path),"w+") as f: 114 | f.write(result) 115 | with open("{path}/search.json".format(path=path)) as f: 116 | result=json.load(f) 117 | os.remove('{path}/search.json'.format(path=path)) 118 | return result 119 | 120 | # if __name__ == '__main__': 121 | # result=searchItoI(image_file="../data/temp/75.pgm") 122 | # print result 123 | 124 | 125 | 126 | 127 | 128 | 129 | def facesetcreate(): 130 | result=Popen('curl -X POST "https://api-cn.faceplusplus.com/facepp/v3/faceset/create" -F \ 131 | "api_key={api_key}" -F \ 132 | "api_secret={api_secret}" -F \ 133 | "outer_id={outer_id}"' 134 | .format(api_key=api_key,api_secret=api_secret,outer_id=outer_id),shell=True,stdout=PIPE) 135 | wait="" 136 | result=(result.stdout.read()) 137 | with open("{path}/facesetcreate.json".format(path=path),"w+") as f: 138 | f.write(result) 139 | with open("{path}/facesetcreate.json".format(path=path)) as f: 140 | result=json.load(f) 141 | os.remove('{path}/facesetcreate.json'.format(path=path)) 142 | return result 143 | 144 | 145 | # if __name__ == '__main__': 146 | # result=facesetcreate() 147 | # print result 148 | 149 | 150 | 151 | 152 | def facesetaddface(face_tokens): 153 | result=Popen('curl -X POST "https://api-cn.faceplusplus.com/facepp/v3/faceset/addface" -F \ 154 | "api_key={api_key}" -F \ 155 | "api_secret={api_secret}" -F \ 156 | "outer_id={outer_id}" -F \ 157 | "face_tokens={face_tokens}"' 158 | .format(api_key=api_key,api_secret=api_secret,outer_id=outer_id,face_tokens=face_tokens),shell=True,stdout=PIPE) 159 | wait="" 160 | result=(result.stdout.read()) 161 | with open("{path}/facesetaddfacce.json".format(path=path),"w+") as f: 162 | f.write(result) 163 | with open("{path}/facesetaddfacce.json".format(path=path)) as f: 164 | result=json.load(f) 165 | os.remove('{path}/facesetaddfacce.json'.format(path=path)) 166 | return result 167 | 168 | # if __name__ == '__main__': 169 | # result=facesetaddface(face_tokens="cae2e796ad38737a5006fde10b529c32") 170 | # print result 171 | 172 | 173 | 174 | def facesetremoveface(face_tokens): 175 | result=Popen('curl -X POST "https://api-cn.faceplusplus.com/facepp/v3/faceset/removeface" -F \ 176 | "api_key={api_key}" -F \ 177 | "api_secret={api_secret}" -F \ 178 | "outer_id={outer_id}" -F \ 179 | "face_tokens={face_tokens}"' 180 | .format(api_key=api_key,api_secret=api_secret,outer_id=outer_id,face_tokens=face_tokens),shell=True,stdout=PIPE) 181 | wait="" 182 | result=(result.stdout.read()) 183 | with open("{path}//facesetremoveface.json".format(path=path),"w+") as f: 184 | f.write(result) 185 | with open("{path}//facesetremoveface.json".format(path=path)) as f: 186 | result=json.load(f) 187 | os.remove('{path}/facesetremoveface.json'.format(path=path)) 188 | return result 189 | 190 | # if __name__ == '__main__': 191 | # result=facesetremoveface(face_tokens="cae2e796ad38737a5006fde10b529c32") 192 | # print result 193 | 194 | 195 | 196 | def facesetgetdetail(): 197 | result=Popen('curl -X POST "https://api-cn.faceplusplus.com/facepp/v3/faceset/getdetail" -F \ 198 | "api_key={api_key}" -F \ 199 | "api_secret={api_secret}" -F \ 200 | "outer_id={outer_id}"' 201 | .format(api_key=api_key,api_secret=api_secret,outer_id=outer_id),shell=True,stdout=PIPE) 202 | wait="" 203 | result=(result.stdout.read()) 204 | with open("{path}/facesetgetdetail.json".format(path=path),"w+") as f: 205 | f.write(result) 206 | with open("{path}/facesetgetdetail.json".format(path=path)) as f: 207 | result=json.load(f) 208 | os.remove('{path}/facesetgetdetail.json'.format(path=path)) 209 | return result 210 | 211 | 212 | # if __name__ == '__main__': 213 | # result=facesetgetdetail() 214 | # print result 215 | 216 | def facesetdelete(check_empty=1): 217 | global confidence 218 | result=Popen('curl -X POST "https://api-cn.faceplusplus.com/facepp/v3/faceset/delete" -F \ 219 | "api_key={api_key}" -F \ 220 | "api_secret={api_secret}" -F \ 221 | "check_empty={check_empty}" -F \ 222 | "outer_id={outer_id}"' 223 | .format(api_key=api_key,api_secret=api_secret,check_empty=check_empty,outer_id=outer_id),shell=True,stdout=PIPE) 224 | wait="" 225 | result=(result.stdout.read()) 226 | with open("{path}/facesetdelete.json".format(path=path),"w+") as f: 227 | f.write(result) 228 | with open("{path}/facesetdelete.json".format(path=path)) as f: 229 | result=json.load(f) 230 | os.remove('{path}/facesetdelete.json'.format(path=path)) 231 | return result 232 | 233 | # if __name__ == '__main__': 234 | # result=facesetdelete(check_empty=0) 235 | # print result 236 | 237 | 238 | def facesetgetfacesets(): 239 | global confidence 240 | result=Popen('curl -X POST "https://api-cn.faceplusplus.com/facepp/v3/faceset/getfacesets" -F \ 241 | "api_key={api_key}" -F \ 242 | "api_secret={api_secret}"' 243 | .format(api_key=api_key,api_secret=api_secret),shell=True,stdout=PIPE) 244 | wait="" 245 | result=(result.stdout.read()) 246 | with open("{path}/facesetdelete.json".format(path=path),"w+") as f: 247 | f.write(result) 248 | with open("{path}/facesetdelete.json".format(path=path)) as f: 249 | result=json.load(f) 250 | os.remove('{path}/facesetdelete.json'.format(path=path)) 251 | return result 252 | 253 | # if __name__ == '__main__': 254 | # result=facesetgetfacesets() 255 | # print result 256 | 257 | 258 | 259 | 260 | 261 | 262 | 263 | 264 | 265 | 266 | 267 | 268 | 269 | 270 | 271 | 272 | 273 | -------------------------------------------------------------------------------- /face/FaceAPI.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/0x024/FRT/db02dac147db06b5ee358ae5130679868efc699a/face/FaceAPI.pyc -------------------------------------------------------------------------------- /face/__init__.py: -------------------------------------------------------------------------------- 1 | __all__=["FaceAPI","DbConnect"] -------------------------------------------------------------------------------- /face/__init__.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/0x024/FRT/db02dac147db06b5ee358ae5130679868efc699a/face/__init__.pyc -------------------------------------------------------------------------------- /import.py: -------------------------------------------------------------------------------- 1 | # -*- coding:utf-8 -*- 2 | import os 3 | import sys 4 | import json 5 | import subprocess 6 | from face import FaceAPI 7 | from face import DBConnect 8 | 9 | # outer_id="141402060900" 10 | reload(sys) 11 | sys.setdefaultencoding('utf8') 12 | conn = DBConnect.dbconnect() 13 | cur = conn.cursor() 14 | 15 | if not os.path.exists("./data/log/import.log"): 16 | os.mknod('./data/log/import.log') 17 | 18 | def creat_faceset(): 19 | cur.execute("select face_token from face_data") 20 | result=FaceAPI.facesetcreate() 21 | column=cur.fetchall() 22 | a=zip(*column) 23 | a=list(a[0]) 24 | for i in a: 25 | print("******************************************") 26 | with open('./data/log/import.log','r') as f: 27 | f=f.read() 28 | if i in f : 29 | print "{}:------Has Been Exist!".format(i) 30 | if i not in f: 31 | with open("./data/log/import.log",'a') as f: 32 | f.write(i) 33 | print i 34 | result=FaceAPI.facesetaddface(face_tokens=i) 35 | print result 36 | def create_table(): 37 | cur.execute("show tables") 38 | tables=cur.fetchall() 39 | a=zip(*tables) 40 | if 'face_data' not in a[0]: 41 | cur.execute("create table face_data(ID varchar(12),name varchar(12),face_token varchar(32),gender varchar(10),facequality float)") 42 | conn.commit() 43 | cur.execute("insert into face_data values(0,'None','None','None',0)") 44 | conn.commit() 45 | def insert_data(): 46 | cur.execute("insert into face_data values(%s,'%s','%s','%s',%s)"%(ID,name,face_token,gender,facequality)) 47 | conn.commit() 48 | def check_stuID(ID): 49 | global face_token,gender,facequality 50 | cur.execute("select ID from face_data") 51 | column=cur.fetchall() 52 | a=zip(*column) 53 | if ID in a[0]: 54 | print "{}:------Has been Exist!".format(ID) 55 | if ID not in a[0]: 56 | result=FaceAPI.detect(image_file=imagedir) 57 | face_token=result["faces"][0]["face_token"] 58 | gender=result["faces"][0]["attributes"]["gender"]["value"] 59 | facequality=result["faces"][0]["attributes"]["facequality"]["value"] 60 | print"ID：{}".format(ID) 61 | print"Name：{}".format(name) 62 | print"face_token：{}".format(face_token) 63 | print"gender：{}".format(gender) 64 | print"facequality：{}".format(facequality) 65 | insert_data() 66 | def get_ID_name(dir,topdown=True): 67 | global ID,name,imagedir 68 | fileList = [] 69 | for root, dirs, files in os.walk(dir, topdown): 70 | for PicName in files: 71 | fileList.append(os.path.join(root,PicName)) 72 | for f in sorted(fileList): 73 | imagedir=f 74 | temp=f.split('/')[3].split('.') 75 | ID=temp[0] 76 | name=temp[1] 77 | print("******************************************") 78 | check_stuID(ID) 79 | def main(): 80 | # FaceAPI.facesetdelete(check_empty=0) 81 | create_table() 82 | get_ID_name('./data/import') 83 | cur.execute("delete from `face_data` where ID=0;") 84 | conn.commit() 85 | creat_faceset() 86 | cur.close() 87 | conn.close() 88 | if __name__ == '__main__': 89 | main() 90 | print "Have Done!" 91 | 92 | 93 | 94 | 95 | 96 | -------------------------------------------------------------------------------- /search_cam.py: -------------------------------------------------------------------------------- 1 | # -*- coding:utf-8 -*- 2 | import cv2 3 | import time 4 | import os 5 | import sys 6 | import shutil 7 | import numpy as np 8 | from face import FaceAPI 9 | from face import DBConnect 10 | # outer_id="141402060900" 11 | 12 | reload(sys) 13 | sys.setdefaultencoding('utf8') 14 | conn = DBConnect.dbconnect() 15 | cur = conn.cursor() 16 | def normalize(X, low, high, dtype=None): 17 | X = np.asarray(X) 18 | minX, maxX = np.min(X), np.max(X) 19 | X = X - float(minX) 20 | X = X / float((maxX - minX)) 21 | X = X * (high-low) 22 | X = X + low 23 | if dtype is None: 24 | return np.asarray(X) 25 | return np.asarray(X, dtype=dtype) 26 | def read_images(sz=None): 27 | path="./data/at/" 28 | c = 0 29 | X,y = [], [] 30 | for dirname, dirnames, filenames in os.walk(path): 31 | for subdirname in dirnames: 32 | subject_path = os.path.join(dirname, subdirname) 33 | for filename in os.listdir(subject_path): 34 | try: 35 | if (filename == ".directory"): 36 | continue 37 | filepath = os.path.join(subject_path, filename) 38 | im = cv2.imread(os.path.join(subject_path, filename), cv2.IMREAD_GRAYSCALE) 39 | if (sz is not None): 40 | im = cv2.resize(im, (200, 200)) 41 | X.append(np.asarray(im, dtype=np.uint8)) 42 | y.append(c) 43 | except IOError, (errno, strerror): 44 | print "I/O error({0}): {1}".format(errno, strerror) 45 | except: 46 | print "Unexpected error:", sys.exc_info()[0] 47 | raise 48 | c = c+1 49 | return [X,y] 50 | 51 | def get_detail(): 52 | cur.execute("select * from face_data where face_token='%s'"%face_token) 53 | line=cur.fetchone() 54 | ID,name,gender=line[0],line[1],line[3] 55 | detail=[ID,name] 56 | return detail 57 | def video(): 58 | global db_face_token 59 | count = 0 60 | names = ['100000000001','100000000002','100000000003','100000000004'] 61 | [X,y] = read_images() 62 | y = np.asarray(y, dtype=np.int32) 63 | model = cv2.face.createLBPHFaceRecognizer() 64 | ft=cv2.freetype.createFreeType2() 65 | ft.loadFontData(fontFileName='./data/font/simhei.ttf',id =0) 66 | # model = cv2.face.createEigenFaceRecognizer() 67 | model.train(np.asarray(X), np.asarray(y)) 68 | camera=cv2.VideoCapture(0) 69 | face_cascade = cv2.CascadeClassifier('./data/cascades/haarcascade_frontalface_default.xml') 70 | 71 | 72 | while(True): 73 | read,img=camera.read() 74 | faces=face_cascade.detectMultiScale(img,1.3,5) 75 | 76 | if (count%20)<1: 77 | for(x,y,w,h) in faces: 78 | img =cv2.rectangle(img,(x,y),(x+w,y+h),(255,245,0),2) 79 | gray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) 80 | f=cv2.resize(gray[y:y+h,x:x+w],(200,200)) 81 | cv2.imwrite('./data/temp/temp.pgm',f) 82 | result=FaceAPI.searchItoI(image_file='./data/temp/temp.pgm') 83 | if len(result)==4: 84 | break 85 | if result["results"][0]["confidence"] >= 80.00: 86 | print result["results"][0]["confidence"] 87 | face_token=result["results"][0]["face_token"] 88 | detail=get_detail() 89 | # shutil.copyfile("./data/temp/temp.pgm","./data/at/%s/%s.pgm"%(detail,time.strftime('%Y%m%d%H%M%S'))) 90 | print detail 91 | ft.putText(img=img,text=detail[1], org=(x, y - 10), fontHeight=60,line_type=cv2.LINE_AA, color=(0,255,165), thickness=2, bottomLeftOrigin=True) 92 | count+=1 93 | else: 94 | print"Unknow face" 95 | cv2.putText(img,"Unknow", (x, y - 10), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0,0,225), 2) 96 | else: 97 | for (x, y, w, h) in faces: 98 | img = cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,255),2) 99 | gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) 100 | roi=gray[x:x+w,y:y+h] 101 | try: 102 | roi = cv2.resize(roi, (200, 200), interpolation=cv2.INTER_LINEAR) 103 | # print roi.shape 104 | params = model.predict(roi) 105 | print "Label: %s, Confidence: %.2f" % (params[0], params[1]) 106 | # ft.putText(img=img, text=names[params[0]-1], org=(x, y - 20), line_type=cv2.LINE_AA, color=(0,255,255), thickness=2,bottomLeftOrigin=True) 107 | cv2.putText(img, names[params[0]-1], (x, y - 20), cv2.FONT_HERSHEY_SIMPLEX, 1, 255, 2) 108 | 109 | if (params[0] == 0): 110 | cv2.imwrite('face_rec.jpg', img) 111 | except: 112 | continue 113 | count+=1 114 | print count 115 | cv2.namedWindow("camera",cv2.WINDOW_NORMAL); 116 | cv2.imshow("camera",img) 117 | if cv2.waitKey(1000 / 12)&0xff==ord("q"): 118 | break 119 | camera.release() 120 | cv2.destroyAllWindows() 121 | if __name__ == '__main__': 122 | video() -------------------------------------------------------------------------------- /search_img.py: -------------------------------------------------------------------------------- 1 | # -*- coding:utf-8 -*- 2 | import cv2 3 | import os 4 | import sys 5 | import shutil 6 | import time 7 | from face import DBConnect 8 | from face import FaceAPI 9 | # outer_id="141402060900" 10 | 11 | reload(sys) 12 | sys.setdefaultencoding('utf8') 13 | conn = DBConnect.dbconnect() 14 | cur = conn.cursor() 15 | 16 | if not os.path.exists("./data/log/search_img.log"): 17 | os.mknod('./data/log/search_img.log') 18 | 19 | def main(): 20 | global i,filesdir 21 | fileList=filelist('./data/search_img/') 22 | with open('./data/log/search_img.log','r') as f: 23 | content=f.read() 24 | for i in fileList: 25 | if i in content: 26 | filesdir=i.split('/')[3] 27 | print"{}:-----------Has Been exist!".format(filesdir) 28 | if i not in content: 29 | filesdir1=i.split('/')[3] 30 | filesdir=i.split('/')[3].split('.')[0] 31 | if not os.path.exists('./data/search_img/{}'.format(filesdir)): 32 | os.makedirs('./data/search_img/{}/'.format(filesdir)) 33 | shutil.copyfile('./data/search_img/{}'.format(filesdir1),'./data/search_img/{}/{}'.format(filesdir,filesdir1)) 34 | detect(i) 35 | with open("./data/log/search_img.log",'a') as f: 36 | f.write(i) 37 | def filelist(dir,topdown=True): 38 | fileList = [] 39 | for root, dirs, files in os.walk(dir, topdown): 40 | for PicName in files: 41 | fileList.append(os.path.join(root,PicName)) 42 | return fileList 43 | 44 | def get_detail(): 45 | cur.execute("select * from face_data where face_token='%s'"%face_token) 46 | line=cur.fetchone() 47 | ID,name,gender=line[0],line[1],line[3] 48 | detail=[ID,name] 49 | print"ID：{}".format(ID) 50 | print"Name：{}".format(name) 51 | print"gender：{}".format(gender) 52 | return detail 53 | def detect(filename): 54 | global face_token 55 | count=0 56 | faces=[] 57 | face_cascade1 = cv2.CascadeClassifier('./data/cascades/haarcascade_frontalface_alt.xml') 58 | face_cascade2=cv2.CascadeClassifier('./data/cascades/haarcascade_frontalface_default.xml') 59 | img = cv2.imread(filename) 60 | gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 61 | faces1=face_cascade1.detectMultiScale(gray, 1.3, 5) 62 | faces2=face_cascade2.detectMultiScale(gray,1.3,5) 63 | try: 64 | faces=faces1 if faces1.size <= faces2.size else faces2 65 | except AttributeError: 66 | print"HEllO" 67 | 68 | ft=cv2.freetype.createFreeType2() 69 | ft.loadFontData(fontFileName='./data/font/simhei.ttf',id =0) 70 | 71 | for (x,y,w,h) in faces: 72 | img = cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,255),3) 73 | f = cv2.resize(gray[y:y+h, x:x+w], (200, 200)) 74 | cv2.imwrite('./data/search_img/{}/{}.pgm'.format(filesdir,time.strftime('%Y%m%d%H%M%S')), f) 75 | result=FaceAPI.searchItoI(image_file='./data/search_img/{}/{}.pgm'.format(filesdir,time.strftime('%Y%m%d%H%M%S'))) 76 | if len(result)==4: 77 | break 78 | if result["results"][0]["confidence"] >= 80.00: 79 | print result["results"][0]["confidence"] 80 | face_token=result["results"][0]["face_token"] 81 | print"face_token：{}".format(face_token) 82 | detail=get_detail() 83 | # if not os.path.exists('./data/at/{}/{}.pgm'.format(detail[0],filesdir)): 84 | # shutil.copyfile("./data/search_img/{}/{}.pgm".format(filesdir,time.strftime('%Y%m%d%H%M%S')),"./data/at/%s/%s.pgm"%(detail[0],filesdir)) 85 | ft.putText(img=img,text=detail[1], org=(x, y - 10), fontHeight=30,line_type=cv2.LINE_AA, color=(0,255,165), thickness=1, bottomLeftOrigin=True) 86 | else: 87 | print"Unknow face" 88 | cv2.putText(img,"Unknow", (x, y - 10), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0,0,225), 2) 89 | count+=1 90 | cv2.imwrite(i,img) 91 | if __name__ == '__main__': 92 | main() 93 | print "have done!" -------------------------------------------------------------------------------- /train_cam.py: -------------------------------------------------------------------------------- 1 | # -*- coding:utf-8 -*- 2 | import cv2 3 | import datetime 4 | import sys 5 | import shutil 6 | from face import FaceAPI 7 | from face import DBConnect 8 | # outer_id="141402060900" 9 | 10 | reload(sys) 11 | sys.setdefaultencoding('utf8') 12 | conn = DBConnect.dbconnect() 13 | cur = conn.cursor() 14 | def get_detail(): 15 | cur.execute("select * from face_data where face_token='%s'"%face_token) 16 | line=cur.fetchone() 17 | ID,name,gender=line[0],line[1],line[3] 18 | detail=[ID,name] 19 | print ID 20 | print name 21 | return detail 22 | def video(): 23 | global face_token 24 | ft=cv2.freetype.createFreeType2() 25 | ft.loadFontData(fontFileName='./data/font/simhei.ttf',id =0) 26 | face_cascade = cv2.CascadeClassifier('./data/cascades/haarcascade_frontalface_alt.xml') 27 | camera=cv2.VideoCapture(0) 28 | count = 0 29 | while(True): 30 | ret,frame=camera.read() 31 | gray=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY) 32 | faces=face_cascade.detectMultiScale(gray,1.3,5) 33 | for(x,y,w,h) in faces: 34 | img =cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,255),2) 35 | if count%10==1: 36 | 37 | f=cv2.resize(gray[y:y+h,x:x+w],(200,200)) 38 | cv2.imwrite('./data/temp/temp.pgm',f) 39 | result=FaceAPI.searchItoI('./data/temp/temp.pgm') 40 | if len(result)==4: 41 | break 42 | if result["results"][0]["confidence"] >= 80.00: 43 | print result["results"][0]["confidence"] 44 | face_token=result["results"][0]["face_token"] 45 | detail=get_detail() 46 | # shutil.copyfile("./data/temp/temp.pgm","./data/at/%s/%s.pgm"%(detail,time.strftime('%Y%m%d%H%M%S'))) 47 | print detail 48 | ft.putText(img=img,text=detail[1], org=(x, y - 10), fontHeight=60,line_type=cv2.LINE_AA, color=(0,255,165), thickness=2, bottomLeftOrigin=True) 49 | # count+=1 50 | else: 51 | print"Unknow face" 52 | cv2.putText(img,"Unknow", (x, y - 10), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, (0,0,225), 2) 53 | count +=1 54 | print count 55 | cv2.namedWindow("image",cv2.WINDOW_NORMAL) 56 | cv2.imshow("image",frame) 57 | if cv2.waitKey(1000 / 12)&0xff==ord("q"): 58 | break 59 | camera.release() 60 | cv2.destroyAllWindows() 61 | 62 | 63 | 64 | if __name__ == '__main__': 65 | video() 66 | -------------------------------------------------------------------------------- /train_img.py: -------------------------------------------------------------------------------- 1 | # -*- coding:utf-8 -*- 2 | import cv2 3 | import os 4 | import sys 5 | import shutil 6 | from face import FaceAPI 7 | from face import DBConnect 8 | 9 | reload(sys) 10 | sys.setdefaultencoding('utf8') 11 | conn = DBConnect.dbconnect() 12 | cur = conn.cursor() 13 | if not os.path.exists("./data/log/train_img.log"): 14 | os.mknod('./data/log/train_img.log') 15 | 16 | def main(): 17 | global i,filesdir 18 | fileList=filelist('./data/train_img/') 19 | with open('./data/log/train_img.log','r') as f: 20 | content=f.read() 21 | for i in fileList: 22 | if i in content: 23 | filesdir=i.split('/')[3] 24 | print"{}:-----------Has Been exist!".format(filesdir) 25 | if i not in content: 26 | filesdir=i.split('/')[3].split('.')[0] 27 | detect(i) 28 | with open("./data/log/train_img.log",'a') as f: 29 | f.write(i) 30 | def filelist(dir,topdown=True): 31 | fileList = [] 32 | for root, dirs, files in os.walk(dir, topdown): 33 | for PicName in files: 34 | fileList.append(os.path.join(root,PicName)) 35 | return fileList 36 | 37 | def get_detail(): 38 | cur.execute("select * from face_data where face_token='%s'"%face_token) 39 | line=cur.fetchone() 40 | ID,name,gender=line[0],line[1],line[3] 41 | detail=[ID,name] 42 | print"ID：{}".format(ID) 43 | print"Name：{}".format(name) 44 | print"gender：{}".format(gender) 45 | return detail 46 | def detect(filename): 47 | global face_token 48 | count=0 49 | ft=cv2.freetype.createFreeType2() 50 | ft.loadFontData(fontFileName='./data/font/simhei.ttf',id =0) 51 | face_cascade = cv2.CascadeClassifier('./data/cascades/haarcascade_frontalface_alt.xml') 52 | img = cv2.imread(filename) 53 | gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) 54 | faces = face_cascade.detectMultiScale(gray, 1.3, 5) 55 | for (x,y,w,h) in faces: 56 | img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2) 57 | f = cv2.resize(gray[y:y+h, x:x+w], (200, 200)) 58 | cv2.imwrite('./data/temp/temp.pgm', f) 59 | result=FaceAPI.searchItoI(image_file='./data/temp/temp.pgm') 60 | if len(result)==4: 61 | break 62 | if result["results"][0]["confidence"] >= 80.00: 63 | print result["results"][0]["confidence"] 64 | face_token=result["results"][0]["face_token"] 65 | print"face_token：{}".format(face_token) 66 | detail=get_detail() 67 | if not os.path.exists('./data/at/{}/{}.pgm'.format(detail[0],filesdir)): 68 | shutil.copyfile("./data/temp/temp.pgm","./data/at/%s/%s.pgm"%(detail[0],filesdir)) 69 | ft.putText(img=img,text=detail[1], org=(x, y - 10), fontHeight=60,line_type=cv2.LINE_AA, color=(0,255,165), thickness=2, bottomLeftOrigin=True) 70 | else: 71 | print"Unknow face" 72 | cv2.putText(img,"Unknow", (x, y - 10), cv2.FONT_HERSHEY_COMPLEX_SMALL, 1, 225, 2) 73 | count+=1 74 | cv2.imwrite(i,img) 75 | if __name__ == '__main__': 76 | main() 77 | print "have done!" -------------------------------------------------------------------------------- /upload.py: -------------------------------------------------------------------------------- 1 | import os 2 | os.system('git add .') 3 | os.system("git commit -m upload") 4 | os.system("git push") 5 | --------------------------------------------------------------------------------