Shared utilities developed by the Microsoft AI for Earth team
The general convention in this repo is that users who want to consume these utilities will add the top-level path of the repo to their Python path, so it's okay to assume that other packages/modules within the repo are available. The "scrap" directory can be used for standalone, one-time-use scripts that you might otherwise have emailed to someone.
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path_utils.py: Miscellaneous useful utils for path manipulation, things that could almost be in os.path, but aren't.
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matlab_porting_tools.py: A few ported Matlab functions that makes it easier to port other, larger Matlab functions to Python.
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write_html_image_list.py: Given a list of image file names, writes an HTML file that shows all those images, with optional one-line headers above each.
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sas_blob_utils.py: Helper functions for dealing with Shared Access Signatures (SAS) tokens for Azure Blob Storage.
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TF_OD_API: A Dockerfile and a script to prepare a Docker image for use with the TensorFlow Object Detection API.
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gDrive_download.py: Semi-automatic script for bulk download from shared Google Drives using the gDrive Python SDK.
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azure-sdk-calc-storage-size: Script for recursively computing the size of all blobs and files in an Azure subscription.
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azure-metrics-calc-storage-size: Script for computing the total size of all storage accounts in an Azure subscription (using Azure Metrics).
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ai4e_azure_utils.py: Functions for interacting with the Azure Storage SDK
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ai4e_web_utils.py: Functions for interacting with http requests
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geospatial: Classes and utility functions for processing geospatial data for machine learning applications
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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.