Closed vim-hjk closed 4 weeks ago
Where did you read about this training, and why is it not visible on the author's github
https://github.com/tencent-ailab/IP-Adapter/wiki/IP%E2%80%90Adapter%E2%80%90Face
According to the link above, it is important to crop the face image at different ratio of the face image, such as full body or upper body, for training. However, the example code is exactly the cropping method aligned around the face(InsightFace norm_crop).
My question is, ID embeddings are obtained using InsightFace norm_crop method on face images, and do you feed face images crop at various ratios in actual IP-Adapter training?
hi,ID embeddings is precalculated offline (using InsightFace norm_crop method on face images)
Where did you read about this training, and why is it not visible on the author's github
You can find it on the Wiki tab of this repository.
https://github.com/tencent-ailab/IP-Adapter/wiki/IP%E2%80%90Adapter%E2%80%90Face According to the link above, it is important to crop the face image at different ratio of the face image, such as full body or upper body, for training. However, the example code is exactly the cropping method aligned around the face(InsightFace norm_crop). My question is, ID embeddings are obtained using InsightFace norm_crop method on face images, and do you feed face images crop at various ratios in actual IP-Adapter training?
hi,ID embeddings is precalculated offline (using InsightFace norm_crop method on face images)
Thank you for your answer
https://github.com/tencent-ailab/IP-Adapter/wiki/IP%E2%80%90Adapter%E2%80%90Face
According to the link above, it is important to crop the face image at different ratio of the face image, such as full body or upper body, for training. However, the example code is exactly the cropping method aligned around the face(InsightFace norm_crop).
My question is, ID embeddings are obtained using InsightFace norm_crop method on face images, and do you feed face images crop at various ratios in actual IP-Adapter training?