I've generated the face model .mat files using Deep3DFaceRecon_pytorch, and the facial features using OpenFace, however the resulting rendered images used for training are cropped heavily. I am not sure if it is an issue with render_netface_fitpose.py or fit_headpose.py, or if the Deep3DFaceRecon_pytorch .mat files are still incorrect (I modified handle_netface.py as mentioned in #26, as the pytorch version uses different keys). I have attached an example output and the corresponding true image. Thank you very much for your help.
Hi,
I've generated the face model .mat files using Deep3DFaceRecon_pytorch, and the facial features using OpenFace, however the resulting rendered images used for training are cropped heavily. I am not sure if it is an issue with render_netface_fitpose.py or fit_headpose.py, or if the Deep3DFaceRecon_pytorch .mat files are still incorrect (I modified handle_netface.py as mentioned in #26, as the pytorch version uses different keys). I have attached an example output and the corresponding true image. Thank you very much for your help.