Comments (3)
iacopomasi
commented on July 17, 2024
@HaoLiuHust Can you better explain what do you mean with to limit the two angles? Maybe, tilt and roll?
from face-pose-net.
HaoLiuHust
commented on July 17, 2024
I mean pitch and roll. right now I am limit these two angles before send them into main_fpn, makes the result seems better
from face-pose-net.
iacopomasi
commented on July 17, 2024
@HaoLiuHust Yes, this is reasonable. Though FPN is trained with strong in-plane data augmentation, it makes sense that if you remove some (other) pose variations in the input image, it will work better. Basically, you are feeding easier images to the system, I guess.
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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