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Problems with the Deca training dataset #195
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Train Datas include "image.png + landmarks.npy(FAN detect) + segmentation.npy(face_segmentation detect)" |
@xuduo18311199384 |
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Thank you for your reply. I have completed facial segmentation. What should I do about Vggface2_train_list_max_normal_100_ring_5_1serial.npy? Is it the best 5 facial images for each candidate in the dataset? |
Hey, I had a doubt. In the vox.py file (Line 126- 128) |
I have the same question, how do you solve it. Can you give me some prompts? Thank you very much for your help. |
Were you able to train the model? |
Hello author, I am currently studying this paper and debugging the code. The demo has been successfully debugged, but the details of the training code are not clear, as shown in the following part:
b. Prepare label
FAN to predict 68 2D landmarks
face_segmentation to get skin mask
I would like to ask how this part should be operated, can you give more details?
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