文件名称:face-landmark-localization-master
介绍说明－－下载内容均来自于网络，请自行研究使用
使用caffe 进行人脸关键点检测，共68个关键点，使用的语言是python。-Caffe use for face detection key points, a total of 68 key points, the language used is python.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
face-landmark-localization-master
.................................\README.md
.................................\README.md~
.................................\img
.................................\...\1.jpg
.................................\...\2.jpg
.................................\...\2007_007763.jpg
.................................\...\2008_001009.jpg
.................................\...\2008_001322.jpg
.................................\...\2008_002079.jpg
.................................\...\2008_002470.jpg
.................................\...\2008_002506.jpg
.................................\...\2008_004176.jpg
.................................\...\2008_007676.jpg
.................................\...\2009_004587.jpg
.................................\...\3.jpg
.................................\...\4.jpg
.................................\...\5.jpg
.................................\...\6.jpg
.................................\...\7.jpg
.................................\...\Thumbs.db
.................................\...\image_003_1.jpg
.................................\...\image_004_1.jpg
.................................\...\image_019_1.jpg
.................................\...\image_020_1.jpg
.................................\...\image_09.jpg
.................................\landmarkPredict.py
.................................\model
.................................\.....\VGG_mean.binaryproto
.................................\.....\deploy.prototxt
.................................\.....\deploy.prototxt~
.................................\result
.................................\......\1.png
.................................\......\2.png
.................................\......\3.png
.................................\......\Thumbs.db
.................................\testList.txt
.................................\train
.................................\.....\deploy.prototxt
.................................\.....\solver.prototxt
.................................\.....\train_val.prototxt