Add directory structure to /geospatial. (#9)

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# Contents
- `path_utils.py`: Miscellaneous useful utils for path manipulation, things that could *almost* be in os.path, but aren't.
- [path_utils.py](path_utils.py): Miscellaneous useful utils for path manipulation, things that could *almost* be in os.path, but aren't.
- `matlab_porting_tools.py`: A few ported Matlab functions that makes it easier to port other, larger Matlab functions to Python.
- [matlab_porting_tools.py](matlab_porting_tools.py): A few ported Matlab functions that makes it easier to port other, larger Matlab functions to Python.
- `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.
- [write_html_image_list.py](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.
- `sas_blob_utils.py`: Helper functions for dealing with Shared Access Signatures (SAS) tokens
- [sas_blob_utils.py](sas_blob_utils.py): Helper functions for dealing with Shared Access Signatures (SAS) tokens
for Azure Blob Storage.
- `TF_OD_API`: A Dockerfile and a script to prepare a Docker image for use with the [TensorFlow Object Detection API](https://github.com/tensorflow/models/tree/master/research/object_detection).
- [TF_OD_API](TF_OD_API): A Dockerfile and a script to prepare a Docker image for use with the [TensorFlow Object Detection API](https://github.com/tensorflow/models/tree/master/research/object_detection).
- `gDrive_download.py`: Semi-automatic script for bulk download from shared Google Drives using the gDrive Python SDK.
- [gDrive_download.py](gDrive_download.py): Semi-automatic script for bulk download from shared Google Drives using the gDrive Python SDK.
- `azure-sdk-calc-storage-size`: Script for recursively computing the size of all blobs and files in an Azure subscription.
- [azure-sdk-calc-storage-size](azure-sdk-calc-storage-size): Script for recursively computing the size of all blobs and files in an Azure subscription.
- `azure-metrics-calc-storage-size`: Script for computing the total size of all storage accounts in an Azure subscription (using Azure Metrics).
- [azure-metrics-calc-storage-size](azure-metrics-calc-storage-size): Script for computing the total size of all storage accounts in an Azure subscription (using Azure Metrics).
- `ai4e_azure_utils.py`: Functions for interacting with the Azure Storage SDK
- [ai4e_azure_utils.py](ai4e_azure_utils.py): Functions for interacting with the Azure Storage SDK
- [ai4e_web_utils.py](ai4e_web_utils.py): Functions for interacting with http requests
- [geospatial](geospatial): Classes and utility functions for processing geospatial data for machine learning applications
- `ai4e_web_utils.py`: Functions for interacting with http requests
# Contributing

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# `/geospatial`
## Capabilities we hope to develop
1. Visualization
2. Data loading (patches of labels and imagery to be used in a Random forest, PyTorch or TF model)
3. Data downloading (documentation walk-throughs mostly)
4. Interactive map for displaying and discussing input and model output
5. Interactive re-labeling tool (see the the landcover [repo](https://github.com/microsoft/landcover))
6. Bring your own data (BYOD)
7. "Default" models for segmentation and detection
8. Model evaluation metrics computataion over an area / split
## Content
- [geospatial_recipes.md](geospatial_recipes.md): a list of recipes for working with geospatial data using the GDAL command line tools
## TODO
-[ ] Add a meta class for segmentation and detection models
-[ ] Add a visualization class for viewing raster labels

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import abc
import torch
import torch.nn as nn
class BaseNetworkStructure(nn.Module, metaclass=abc.ABCMeta):
"""
Docstring for the meta class
"""
pass

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