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face-landmark

于 2018-05-22 发布 文件大小:5856KB
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下载积分: 1 下载次数: 14

代码说明:

  人脸68点标注,用于人类面部关键点检测,结合dlib(face landmark master)

文件列表:

face-landmark\.idea\face-landmark-master.iml, 398 , 2017-11-22
face-landmark\.idea\misc.xml, 213 , 2017-11-22
face-landmark\.idea\modules.xml, 292 , 2017-11-22
face-landmark\.idea\workspace.xml, 19762 , 2017-11-22
face-landmark\face_landmark.cpp, 4658 , 2017-09-27
face-landmark\face_landmark.py, 3831 , 2017-11-22
face-landmark\images\1.jpg, 35106 , 2017-11-20
face-landmark\images\2.jpg, 42545 , 2017-11-20
face-landmark\images\2007_007763.jpg, 89619 , 2016-11-22
face-landmark\images\2008_001009.jpg, 41770 , 2016-11-22
face-landmark\images\2008_001322.jpg, 65344 , 2016-11-22
face-landmark\images\2008_002079.jpg, 92641 , 2016-11-22
face-landmark\images\2008_002470.jpg, 91349 , 2016-11-22
face-landmark\images\2008_002506.jpg, 79316 , 2016-11-22
face-landmark\images\2008_004176.jpg, 93821 , 2016-11-22
face-landmark\images\2008_007676.jpg, 110034 , 2016-11-22
face-landmark\images\2009_004587.jpg, 79462 , 2016-11-22
face-landmark\images\3.jpg, 50282 , 2017-11-20
face-landmark\images\4.jpg, 52056 , 2017-11-20
face-landmark\images\image_003_1.jpg, 66480 , 2016-11-22
face-landmark\images\image_004_1.jpg, 109561 , 2016-11-22
face-landmark\images\image_019_1.jpg, 97478 , 2016-11-22
face-landmark\images\image_020_1.jpg, 189556 , 2016-11-22
face-landmark\images\image_09.jpg, 26211 , 2016-11-22
face-landmark\model\landmark_deploy.prototxt, 4421 , 2017-09-27
face-landmark\model\VanFace.caffemodel, 3297959 , 2017-09-27
face-landmark\README.md, 681 , 2017-09-27
face-landmark\result\1.jpg, 125216 , 2017-09-27
face-landmark\result\1_result.jpg, 248888 , 2017-09-27
face-landmark\result\2.jpg, 25631 , 2017-09-27
face-landmark\result\2_result.jpg, 53341 , 2017-09-27
face-landmark\result\4.jpg, 98534 , 2017-09-27
face-landmark\result\4_result.jpg, 150164 , 2017-09-27
face-landmark\result\7.jpg, 250285 , 2017-09-27
face-landmark\result\7_result.jpg, 287446 , 2017-09-27
face-landmark\result\8.jpg, 116396 , 2017-09-27
face-landmark\result\8_result.jpg, 172621 , 2017-09-27
face-landmark\rotation_image.cpp, 4008 , 2017-09-27
face-landmark\train\adam_solver.prototxt, 285 , 2017-11-22
face-landmark\train\DataRow.py, 56798 , 2017-09-27
face-landmark\train\Demo.py, 2516 , 2017-09-27
face-landmark\train\landmark_train.prototxt, 5347 , 2017-09-27
face-landmark\train\mainloop.py, 13858 , 2017-09-27
face-landmark\train\NormlizedMSE.py, 5093 , 2017-09-27
face-landmark\.idea, 0 , 2017-11-22
face-landmark\images, 0 , 2018-05-22
face-landmark\model, 0 , 2017-09-27
face-landmark\result, 0 , 2017-09-27
face-landmark\train, 0 , 2017-11-22
face-landmark, 0 , 2017-11-22

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    水平集图像分割代码,对应论文为Li C, Xu C, Gui C, et al. Level set evolution without re-initialization: a new variational formulation[C]//Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. IEEE, 2005, 1: 430-436.(Level set image segmentation code, the corresponding papers of Li C, Xu C, Gui C, et al Level set evolution without re-initialization:.. A new variational formulation [C]// Computer Vision and Pattern Recognition, 2005 CVPR 2005 IEEE. Computer Society Conference on IEEE, 2005, 1:. 430-436.)
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