Package to use Ellipsis Drive for AI
Project description
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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