This package is meant to help you run models on Ellipsis Drive content. It should be used in combination with the ellipsis package.

Install

pip install ellipsisAI

Example

import ellipsisAI as ai
import ellipsis as el

pathId = '170aadad-8eaa-4509-9c0e-c1536d58a1fe'
timestampId = "633b4b9f-d939-4c4a-8d90-0e9fceb64b83"
targetPathId = "066458f4-f018-4f49-a1f0-dedfa71b3368"
tempFolder = 'YOUR_PATH'

#login to get a authentication token
token = el.account.logIn('YOUR_USERNAME','YOUR_PASSWORD')

#retrieve the zoom and bounds of the capture you wish to classify
classificationZoom = ai.getReccomendedClassificationZoom(pathId = pathId, timestampId = timestampId, token = token)
bounds = el.path.raster.timestamp.getBounds(pathId, timestampId, token)


#we create a dummy model. We use the identity function mapping an image to itself. We use the getTleData function to retirve the image for the given input tile ofthe model.
def model(tile):
    result = ai.getTileData(pathId = pathId, timestampId = timestampId, tile = tile, token  = token)
    if result['status'] == 204:
        output =  np.zeros((1,256,256))
    else:
        r = result['result']

        output = r[0:1,:,:] * 2
    return(output)


#apply the model on the given bounds on the given zoomlevel
ai.applyModel(model, bounds, targetPathId, classificationZoom, token, tempFolder)

Functions

applyModel

applyModel(model, bounds, targetPathId, classificationZoom, token, modelNoDataValue = -1, targetFromDate = None, targetToDate = None)

This function applies the given model on all tiles of zoomlevel classificationZoom withing the specified bounds. The results will be written in a new capture of the specified target block.

Name	Description
model	A function mapping given bounds to a 3D numpy array.
bounds	A shapely polygon or multipolygon indicating the region you wish to classify
targetPathId	The id of the path to write the result to
classificationZoom	The zoomlevel of the tiles you wish to use for the model input as integer.
token	Your token
tempFolder	A path where temporary files can be written
modelNoDataValue	Which number of the model output to interpret as transparent
targetDate	Dictionary with keys from and to, both must be of type datetime. Defaults to current date

getTiles

getTiles(bounds, classificationZoom)

This function covers a given bounds with tiles of the given zoomlevel. You can use the result to get tile arguments for the getTileData function

Name	Description
bounds	A shapely polygon or multipolygon
classificationZoom	The zoomlevel of the tiles to cover with as int

getTileData

getTileData(pathId, timestampId, tile, token = None )

This function retrieves raster data for a certain tile.

Name	Description
PathId	Id of the layer to retrieve the raster for
timestampId	Id of the timestamp to retrieve the raster for
tile	A dictionary with tileX, tileY and zoom as integers
token	Your token (optional)

getReccomendedClassificationZoom

getReccomendedClassificationZoom(pathId, timestampId, token = None)

This function retrieves raster data for a certain tile.

Name	Description
PathId	Id of the layer to retrieve the raster for
timestampId	Id of the timestamp to retrieve the raster for
token	Your token (optional)