facebookresearch / facebookresearch/co-tracker
The training dataset prepareation
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Description
Hi, I am following your work to prepare the training data for MOVI-f.
Could you please give more details about the instructions for annotation generation?
I generally follow the function `create_kubric_eval_train_dataset` in [this link](https://github.com/deepmind/tapnet/blob/b91520f4487a86b98ea7139d9c60f04f9874335e/evaluation_datasets.py#L431C1-L453C27), and set the `train_size=(512,512)` and `tracks_to_sample=2000` in `create_point_tracking_dataset`.
Besides, I also modify the `'movi_e/256x256'` in [this link](https://github.com/google-research/kubric/blob/e291953c3604bb8f1817e1d0b062fa2362562613/challenges/point_tracking/dataset.py#L886C3-L890C16) in order to generate MOVI-f.
Is that right?
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