
Research
/Security News
60 Malicious Ruby Gems Used in Targeted Credential Theft Campaign
A RubyGems malware campaign used 60 malicious packages posing as automation tools to steal credentials from social media and marketing tool users.
github.com/mohanson/face-detection-server
基于 SeetaFace 的高性能人脸识别服务, 使用 Golang 与 CPP 混合开发. 该项目演示了使用 Cgo 与 CPP 代码进行复杂交互的一种方式.
$ apt install libopencv-dev libjsoncpp-dev
$ make seeta # 下载 SeetaFace 源码到 /src, 切换到指定版本并进行编译, 该过程需要 cmake3 支持.
$ make faced # 编译胶水部分 c++ 代码, 提供可供 golang 使用的 c 语法 lib.
$ make goserver # 混合编译 golang/c++ 服务到单独二进制文件并启动服务
$ http POST :8080/image/bin/detection < ./face.jpg # 对服务进行命令行测试
HTTP/1.1 200 OK
Content-Length: 70
Content-Type: application/json
Date: Wed, 12 Oct 2016 02:47:09 GMT
{
"face": [
{
"Y": 167,
"height": 287,
"width": 287,
"x": 103
}
],
"size": [
500,
650
]
}
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