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I was using fit_scan.py to fit my 3dMD model, and I noticed that the headspace dataset also used a similar method, but its Flame dataset did not come with texture. I can easily generate a fitted model with fit_scan.py, but 3dMD's texture rely on bmp files. I noticed that there is an example of generating a model with materials from a frontal photo in FLAME's git repository. Is there any way to generate texture for the model generated by fit_scan.py?
The text was updated successfully, but these errors were encountered:
I was using fit_scan.py to fit my 3dMD model, and I noticed that the headspace dataset also used a similar method, but its Flame dataset did not come with texture. I can easily generate a fitted model with fit_scan.py, but 3dMD's texture rely on bmp files. I noticed that there is an example of generating a model with materials from a frontal photo in FLAME's git repository. Is there any way to generate texture for the model generated by fit_scan.py?
The text was updated successfully, but these errors were encountered: