YouTube-VIS 2019 train_sub_split.json

[qihao-huang]

In the README Quickly evaluate on supported benchmarks , the gt data (~150mb) is provided such as YouTube-2019

data/gt/youtube_vis/youtube_vis_train_sub_split/train_sub_split.json.

When I look into this gt file, I find the length of videos is 302, same as the YouTube-VIS 2019 validation set provided in CodaLab. And, after a detailed checking, I find they are two different video ID sets. So, Does that mean the data you provied is just part of training set (sample 302 videos from training 2238 videos) ? @JonathonLuiten

Also, what about the STEm_Seg tracker results?

data/trackers/youtube_vis/youtube_vis_train_sub_split/STEm_Seg/data/results.json

Does that mean the above prediction results just are inferenced by the default model provied in STEm_Seg repo or a new model trained by remaining set (2238-302=1936 videos) ?

Thanks for your contribution for Tracking research.