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This package is meant to help you run models on Ellipsis Drive content.

applyModel(model, blockId, captureId, targetBlockId, targetCaptureId, visualizationId, inputWidth, token)

model must be a function mapping a (inputWidth,inputWidth,b) numpy array to an (inputWidth,inputWidth) numpy array.

model: a function mapping a inputWidth by inputWidth by bands numpy array to a 3 dimensional numpy array. The resulting numpy array should always have the same shape. blockId: the id of the block to classify captureId: the id of the capture to classify targetBlockId: the id of the block to write the classifications to targetCaptureId: the id of the capture to write the classifications to inputWidth: the size of the input array. Must be a number divisible by 256 visualizationId: id of the visualization to use as input. If not specified the original raster is used. token: your token

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