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Nn interface #280
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Nn interface #280
Commits on Jan 13, 2020
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Commits on Jan 16, 2020
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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.
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Commits on Jan 17, 2020
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Merge branch 'io-adaptors' of https://github.com/murthylab/sleap into…
… nn-interface
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Commits on Jan 21, 2020
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Commits on Jan 22, 2020
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Add "dummy" option to VideoLoader.
Returns dummy frames if set; used when we don't need frame images in the prediction pipeline.
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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.
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Commits on Jan 23, 2020
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