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Add training config
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defaults:
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- cameltrack
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- override dataset: dancetrack
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- _self_
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pipeline:
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- track
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use_wandb: true
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# Example for DanceTrack, but can be adapted for other datasets.
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# States files can be downloaded from the CAMELTrack repository on huggingface.
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state:
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load_file: "${dataset.dataset_path}/states/dancetrack-${dataset.eval_set}.pklz"
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save_file: null
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modules:
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track:
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training_enabled: true
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# Generate the training dataset setup: compile tracklets in a pickle file for each split
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datamodule_cfg:
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name: "camel" # Name for the pickle files containing the training tracklets (will be appended with the split name)
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path: "${dataset.dataset_path}/states/camel_training" # Where to store those training states
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tracker_states:
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train: "${dataset.dataset_path}/states/dancetrack-train.pklz" # Update this path to your states
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val: "${dataset.dataset_path}/states/dancetrack-val.pklz" # Update this path to your states

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