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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Release files for ellipsis-AI 0.0.1
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| ellipsis-AI-0.0.1.tar.gz | 3.6 kB | Details |
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|---|---|---|---|---|
| ellipsis_AI-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.2 kB
Release files / ellipsis-AI-0.0.1.tar.gz
| Download URL | ellipsis-AI-0.0.1.tar.gz |
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| Size | 3.6 kB |
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Release files / ellipsis_AI-0.0.1-py3-none-any.whl
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