Question about the face bounding box of VoxCeleb1

[HowieMa]

Hi,
Thanks for sharing such an amazing project! As for the pre-processing, it is said that you follow the video-preprocessing scripts. However, in their codes, they use the bounding box as shared in the meta-csv file, which is different from the original bounding box from the VoxCeleb1 dataset, as discussed in issue21.

Therefore, may I ask which bounding box you use to obtain the cropped images?

Besides, the original VoxCeleb1 dataset contains 1k+ subjects in the training set and 40+ subjects in the testing set.
However, the meta-file of video-preprocessing only provides 400+ subjects, which is a subset of the original VoxCeleb1 dataset.
Thus, may I ask which dataset you used in the training examples? The dataset with 1k+ subjects or the subset from video-preprocessing?

Looking forward to your reply. Thanks in advance!

[NetEase-GameAI]

I use videos in the meta-csv file,

[HowieMa]

非常感谢您关于video选择的回复，这对我非常有帮助。
想请教一下上述的的第一个问题，您用的是哪一种bounding box 从原始视频裁剪脸部区域的呢？
1）是直接从video-preprocessing 提供的 "vox-metadata.csv",
2）还是使用的VoxCeleb1 官方提供的原始bounding box 呢？

具体来说，
VoxCeleb1 官方给的boundingbox 都是正方形的，我看您的dataset demo里似乎使用的是VoxCeleb1官方的正方形框。

但是meta csv 文件里存在很多非正方形的框，如这个issue，他们会把非正方形的框给resize 到正方形，这样就会有畸变。比如您demo 里的图，直接使用video-preprocessing 的meta.csv 就会得到这样压的非常扁的图。

所以想找您确认一下在裁剪图片的时候使用的是哪一种bounding box，谢谢！

[NetEase-GameAI]

用的是第二种，但我这边是在其给出的bounding box的基础上对其进行了修改，不是你那的那种直接缩放，而是比如原始的框左右或者上下加一些padding的方式，保证出来的都是正方形。