Open 2j1ejyu opened 2 years ago
Hi, for training, we simply choose the first 4000 objects sorted by the object name (md5 file); for evaluation, we first calculate the intersections between the remaining objects and the evaluation set used by DeepSDF, and then choose the first 100 objects sorted by md5 name. Objects used can be found in ./split folder.
Thank you very much for your quick response!
Hello. Thank you for your work. I'd like to ask how you've chosen data for training or evaluation. For example, ShapeNetCore.v2 consists of about 6000 chair objects. However, only 4100 objects were used for training and evaluating DIF-Net.