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Hello, Another question . In you data processing page, you said:
If I understant correctly,what you mean is “ you use SPIN method to generate SMPL parameters for datasets including MPII, COCO and MPI-INF-3DHP", right?
If so, as I know SPIN will get some wrong estimation for some picture, and we will get wrong labels for training? Will this be bad for training?
The text was updated successfully, but these errors were encountered:
Yes, we are using the SMPL parameters generated by SPIN. For the SPIN fits we choose to keep an example or not based on a conservative criterion as we describe in the SPIN paper. So not all examples have corresponding annotations. There is a possibility that some of the fits are not perfect since we did not manually check each example. However, in general I believe you will get better results if you use them as it helps training.
Hello, Another question . In you data processing page, you said:
If I understant correctly,what you mean is “ you use SPIN method to generate SMPL parameters for datasets including MPII, COCO and MPI-INF-3DHP", right?
If so, as I know SPIN will get some wrong estimation for some picture, and we will get wrong labels for training? Will this be bad for training?
The text was updated successfully, but these errors were encountered: