face-alignment
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jwyang
Face alignment in 3000 FPS
Hi, recently I tried to run the train_model code. But I 've got an error in the line 47 of gloablregression.m, saying 'could not find train function with input format'....
Greeting....I have been trying to train the model using matlab's face detector.....but i have not been able to achieve anything. I see that in you loadsamples.m you have given an...
As I haven't done face alignment before,so I don't know where is the start-stop of test time consumption, could you mark it in the code of test_model with tic and...
Hi, Base on your matlab code, i have finally finished the c++ implement (with some modifications). But with the configuration define on your code, i.e. 68 landmarks, 6 tree depth,...
Thanks for your great work, help me through the paper. But there is still one problem confuse me. In matlab code, i found you transform the intermediate's "shapes_residual" to the...
In globalpredicition.m,"drawshapes(Te_Data{k}.img_gray, [Te_Data{k}.shape_gt Te_Data{k}.intermediate_shapes{1}(:,:, s) shape_newstage]);" Te_Data{k}.shape_gt ,if it not exists,how to get the landmarks points?
Recently,I have been read your code!The code has realise 68 feature landmarks alignment,but the whole face don't follow the 68 feature landmarks aligement to realise face alignment.How to realise it?And...
3000FPS is mentioned in the paper.But I run the code to test the efficient.The code deal with 224 images needing 5 minuters.I feel the efficient cann't meet our need.I feel...
params.radius = ([0:1/30:1]'); params.angles = 2_pi_[0:1/36:1]'; if we don't use polar coordinates but rectangular coordinate to solve the region radius,how we can do it
if size(img_region, 3) == 1 Data{i}.img_gray = img_region; else Data{i}.img_gray = rgb2gray(img_region); end problem:You store all the sample data, the data is too large,which will cause be out of memory?