About test accuracy about 3ddfa_v2 HOT 2 CLOSED

Thanks for sharing your results. A simple way to improve the performance is to add the sparse landmark regression task as a regularization to 3DMM regression. You can give it a try.

from 3ddfa_v2.

First of all, thanks for such excellent work. With reference to the work of 3DDFA_V1, plus the synthesis of training data by myself, the test accuracy of the model has been greatly improved. The test accuracy is as follows:

Using the mobilenetv2 model, the training method is the same as 3DDFA_V1, the number of shape parameters is 60, and the number of expression parameters is 29. If a large model is used, the accuracy will be further improved. The actual test stability has also been greatly improved.
Therefore, I look forward to the open source of 3DDFA_V2 related training algorithms, thank you very much.

Hi, can I have your code about testing accuracy, I am a newer of ML, but I don't know how to measure the error by python, thanks a lot.

from 3ddfa_v2.