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chengzhengxin
Supervised Descent Method Apply to Face Alignment, and Head Pose Estimation with Linear Regression. It is cross-platfrom, easily compile in windows, ubuntu, even in Android & iOS.
Hi, thanks for the great work! I was wondering that, would it be possible to run it on a Raspberry Pi? If so, how to compile the model? Thanks much!
hi，i change the training code by write my own function the landmakr format is x1,x2,,,,x68 y1,y2,,,,,y68. after 5 stage my training error from 1.2--->0.05 with normalized but when i test...
@chengzhengxin 我用mtcnn检测到的人脸，当人脸角度过大时，关键点位置不准确存在漂移，得到的yaw、patch、roll都错了。 ![Uploading Screenshot from 2018-06-13 16-48-25.png…]() ![Uploading Screenshot from 2018-06-13 16-48-12.png…]()
hi chengzhengxin, I have gone through the repository and unable to find the license used here, 1.May I know the license used here?Is the model file also covered under that...
I have downloaded mingw compiler. I opened cmake-gui and chose as a generator the MinGW Makefiles, and chose as a source file the sdm-master, and for the build file I...
您好，我想请问下我的landmark是五个点，分别为两眼中心，鼻尖，两个嘴角，如何去计算三个方向的角度？
Thanks for your great library! I have built successfully on iOS but failed on Android. How should I config my android.mk and application.mk to get my android build succeed?
hello, it always found errors when make on the ubuntu？ Do you have the CMakeLists.txt on ubuntu?
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Supervised Descent Method Apply to Face Alignment, and Head Pose Estimation with Linear Regression. It is cross-platfrom, easily compile in windows, ubuntu, even in Android & iOS.