This is the official implementation of TransCenter (TPAMI). The code and pretrained models are now available here: https://gitlab.inria.fr/yixu/TransCenter_official.
Hi,
Are the models trained on the full train set or only on 75% (while the last 25% remained for validation)?
I'm asking because the class "GenericDataset_val" has a default value of train_ratio=0.5 which leads to a 75%-25% partition in the evaluation, but it is not mentioned in the pretrained models section of the readme.
Hi,
The models for testset submission are trained on full MOT 17/20 dataset while the models for validation are trained with first 50% of the train set and validated on the last 25%.
Hi, Are the models trained on the full train set or only on 75% (while the last 25% remained for validation)? I'm asking because the class "GenericDataset_val" has a default value of train_ratio=0.5 which leads to a 75%-25% partition in the evaluation, but it is not mentioned in the pretrained models section of the readme.