Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l
Do you have the code to compute the mean and std images? I know that the mean can be computed by averaging the training images in general, but just not sure if the calculation will be the same as yours. It might go through some scale transformations?
If this question is duplicated, please delete it. Thanks.
Please pull latest commit, edit mainLoop.py:62 with:
STEPS =['trainSetHD5', 'calcTrainSetMean']
and run mainLoop.py
This will recalculate the mean and std and write it to: trainMean.png and trainSTD.png
Do you have the code to compute the mean and std images? I know that the mean can be computed by averaging the training images in general, but just not sure if the calculation will be the same as yours. It might go through some scale transformations?
If this question is duplicated, please delete it. Thanks.