Open happysxpp opened 10 months ago
Hi,
FID: we adopt this implementation. https://github.com/mseitzer/pytorch-fid FPD: https://drive.google.com/file/d/1vniFpLFZwDfwMT3Ce2KXNQB8Bdv65iUG/view
Generate all the shape in 128^3 voxelized volume of the test set, and then evaluate the 3D IoU between reconstructed shape and the GT. 3D_IoU=intersection of the occupied voxels/union of the occupied Voxels
Zhengzhe
⑨ @.***> 于2023年10月31日周二 23:20写道:
1.May I ask how to evaluate the training results of Phase 1?
2.May I ask how mIOU is obtained in Figure 4 (b)?
Thank you very much, if you could reply to me!
— Reply to this email directly, view it on GitHub https://github.com/liuzhengzhe/DreamStone-ISS/issues/7, or unsubscribe https://github.com/notifications/unsubscribe-auth/AB7WPDCZZJNV7ZDWNOZIMALYCEJMFAVCNFSM6AAAAAA6X4EEDOVHI2DSMVQWIX3LMV43ASLTON2WKOZRHE3TANZRGA3TGMI . You are receiving this because you are subscribed to this thread.Message ID: @.***>
1.May I ask how to evaluate the training results of Phase 1?
2.May I ask how mIOU is obtained in Figure 4 (b)?
Thank you very much, if you could reply to me!