python_face_recog

所属分类:OpenCV
开发工具:Python
文件大小:6899KB
下载次数:66
上传日期:2018-02-06 16:17:31
上 传 者qinjian09
说明:  基于python+opencv 的 人脸识别,对一段视频进行读取,并检测出人脸,然后进行PCA 降维,最后用SVM进行人脸识别,识别率94%左右。
(Based on python + opencv face recognition, a video was read, and face detection, and then PCA dimension reduction, and finally SVM face recognition, recognition rate of about 94%.)

文件列表:
demo_predictFaces.py (176, 2018-01-21)
demo_training_models.py (1068, 2018-01-21)
detectFaces.py (5218, 2018-01-21)
face_recog.py (4647, 2018-01-21)
face_videodata (0, 2018-01-21)
face_videodata\1.mp4 (933778, 2017-10-23)
face_videodata\2.mp4 (867145, 2017-10-23)
face_videodata\3.mp4 (828678, 2017-10-23)
pcamodels.m (4353169, 2018-01-21)
svmmodels.m (302055, 2018-01-21)

main function: this script is based on the python libs including: opencv2, sklearn, numpy, matplotlib 1. demo_training_models.py : generate face images from given videos in "face_videodata" and training the pca + svm models for face recognition. 2. demo_predictFaces.py : demo file to predict people based on the face extracted from given testing video and the saved training pca+svm models.

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