Jie Zhang

the pdf is on github, the loading may cost some time but should be able to view it, if not, you can just download directly fro github the training data...

I don't think Caffe is the problem, the Caffe version I use is about 10 months ago. I already test the model with recently Caffe, it's OK. What you mean...

By the way, you can test your model by ``` python test/test.py 0 # to test 1_F python test/test.py 2 # to test 1_F and level2 python test/test.py 3 #...

@wuqiangch I recommend you to train the models manually using Caffe command which you can control the training status. The models I provide are well tuned which may not use...

It seems 1_F's right eye is wrong, the error is too large, what's more in level-2, left mouth's error is too large, you should retrain related cnns.

I think re-train 1_F and 2_LM1, 2_LM2 will give you a good result if the loss of these network is pretty low and stable. There's no need to modify the...

Yes, I found this problem too :( So, I didn't train model 1_EN and 1_NM. Maybe the processing part of 1_EN or 1_NM are not good or still need some...

Actually, Caffe itself will log all stuffs during network training, normally you can find log files under `/tmp`. You can parse that log file yourself, the format is not the...

try to reduce the training face size to save memory

1. scale and rotate can differ very much, and won't always be identity or close to 1 unless your shape is similar to mean shape. 2. you can calculate the...