sai-bi
commented
9 years ago No. There is no relation between number of training images and landmarks. My suggestion is that you check the input data and make sure that input data is correct, especially the (x,y) coordinate of bounding box (you may refer to the demo program). In addition, make sure that the size of bounding box is appropriate, instead of being too large or too small.
We trained a model on LFPW dataset with 68 landmark points. We used 1300 images for training and provided the bounding box according to the viola jones face detector as given in opencv. It took about 10 hours to create the model on intel(R) Xeon(R) processor. But we are not getting the results as expected during testing. Is there any relation between number of training images to be used and number of landmarks?? Any other suggestions??