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Pipeline for labeling training data and training networks #2

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esteinig opened this issue Oct 8, 2018 · 4 comments
Open

Pipeline for labeling training data and training networks #2

esteinig opened this issue Oct 8, 2018 · 4 comments
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@esteinig
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esteinig commented Oct 8, 2018

Pipeline of collecting images, labeling cell types / parasites (Leaflet) and training networks, how would we implement this link to other modules in Autoscope?

@esteinig esteinig added the Ideas Ideas and things to think about label Oct 8, 2018
@esteinig esteinig self-assigned this Oct 8, 2018
@Wytamma
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Wytamma commented Oct 10, 2018

This might be useful for labelling data.

@esteinig
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Leaflet would be great for targeting parasites and counting / binary classification. If we want to extend to cell types or so later ,we might want to implement bounding boxes?

@Wytamma
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Wytamma commented Oct 11, 2018

Yeah I think that’s a good idea. If we convert the slide scans into map tiles we can use them with leaflet (see gdal2tiles.py). We can attach a simple database to the example above and use the leaflet polygon feature to add bounding boxes. Some simple export code could get it from the DB to a ML image data format.

@esteinig
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Yes, was thinking about the polygon feature, that should be fairly simple. Will check this out when I am out of the lab.

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