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Nn interface #280

Merged
merged 16 commits into from
Jan 23, 2020
Merged

Nn interface #280

merged 16 commits into from
Jan 23, 2020

Commits on Jan 13, 2020

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Commits on Jan 16, 2020

  1. Modularize data io into format adaptors.

    All of the dataset formats (hdf5, json, coco, etc) are broken out
    into separate format adaptor classes. Adaptors are registered
    with a Dispatch object and then the Dispatch objects finds the
    appropriate adaptor. The main entry points for most cases are
    sleap.io.format.read and sleap.io.format.read.
    
    Load/save in the Labels class are now wrappers for these functions.
    ntabris committed Jan 16, 2020
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Commits on Jan 17, 2020

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Commits on Jan 21, 2020

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Commits on Jan 22, 2020

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  3. Add "dummy" option to VideoLoader.

    Returns dummy frames if set; used when we don't need frame images
    in the prediction pipeline.
    ntabris committed Jan 22, 2020
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  4. Add tracking-only ui to sleap-track.

    If sleap-track is given labels file as data_path and tracking
    policy but no models, then it will run the tracker on the
    previously generated predictions. This is a better interface
    than having to call sleap.nn.tracking to retrack.
    
    Resolves issue #260.
    ntabris committed Jan 22, 2020
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Commits on Jan 23, 2020

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