Comments (5)
I still want to know what is the true database for your machine learning. Thank you.
from face-pose-net.
To get the 3D head pose labeled training data, we did extract landmarks for that purpose.
Regarding to the question of "Are all 2.6 million images used for training?"
Yes, but we saw the validation accuracy saturates with less than 2.6 million training image as well. This may also attribute to that we did the perturbations on each image.
from face-pose-net.
Thank you! So the database that is really used for training is the pose labels of human face. Does this training data exist in PAM_frontal_AlenNet.npy?
How many pose labels are used to train it? The time required to run your code is very short, so I don't think there are 2.6 million labels.
from face-pose-net.
the model downloading link doesn't work,could you share a new downloading link that works?i will appreciate your kindness very much!
from face-pose-net.
Please, share with us your email and will provide the link for the model. Thanks
from face-pose-net.
Related Issues (20)
- Question about face bounding box HOT 1
- Frontalize face HOT 1
- ValueError: Too Many Values to Unpack HOT 1
- Mssing Pose Prediction
- Some questions about model ground truth HOT 2
- pose_utils : miss preProcessImage_v2 HOT 3
- where is training part? HOT 1
- name 'basestring' is not defined
- line contains NULL byte
- How I can increase the number of augmented images? HOT 1
- Restoring from checkpoint failed.
- is it possible to write 3d shapes as obj file?
- how to get translation_z HOT 6
- py2to3 to make a python 3 version
- Any thoughts on how to use FPN in real-life apps? HOT 3
- How to obtian FACE_X, FACE_y, FACE_WIDTH, FACE_HEIGHT
- How would I create more model3D files? HOT 1
- I make a better one [https://github.com/WIKI2020/FacePose_pytorch] HOT 1
- NameError: name 'basestring' is not defined
- Problem in loading PAM_frontal_ALexNet.npy HOT 1
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from face-pose-net.