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soubhiksanyal / RingNet

Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
https://ringnet.is.tue.mpg.de
MIT License
814 stars 170 forks source link

basic information about output of voca model #46

Closed Adorablepet closed 3 years ago

Adorablepet commented 4 years ago

run the following command:

python -m demo --img_path ./input_images/000013.jpg --out_folder ./RingNet_output --save_obj_file=True --save_flame_parameters=True --neutralize_expression=True

If I input a face image and generate the input of voca through the above command, is there any way to save the 3d information of the input image and rewrite it into the output obj file of voca, yes, the output of voca Is there any texture information about the input image? That is to say, the output of voca is an obj file with 3d model information (can contain v, f, vn, vf, etc.), mtl file, texture png. Thanks.

TimoBolkart commented 3 years ago

Can you please describe your use case. VOCA uses a template mesh in FLAME mesh topology along with an audio file and generates a speech-driven animation.

Adorablepet commented 3 years ago

You have updated my question on the voca project, thanks.