Comments (2)
1996scarlet
commented on August 11, 2024
In my opinion, if you use flame instead of bfm, you need to retrain the network parameters using the annotated data and referring to the original paper.
But I do not recommend doing so. Why don't you consider modifying the network structure and writing a new paper based on flame?
from dense-head-pose-estimation.
emlcpfx
commented on August 11, 2024
Iām far too dumb to do that, LOL.
from dense-head-pose-estimation.
Related Issues (14)
- request training code HOT 1
- the result of output of head pose
- asset/render.so: cannot open shared object file: No such file or director HOT 1
- Convert model to CoreML format HOT 1
- MobileNet vs. ResNet HOT 1
- asset/render.so not found HOT 2
- there is no asset/render.so HOT 1
- __init__() got an unexpected keyword argument 'num_threads' HOT 2
- How can I get 3D landmark coordinates HOT 8
- Landmark accuracy around the eyes. HOT 1
- How can i get Depth HOT 1
- Memory usage
- Where can I find the camera matrix params derived from the model for a given frame? HOT 2
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