hot-fair-utilities 1.0.38

Utilities for AI - Assisted Mapping fAIr

hot_fair_utilities ( Utilities for AI Assisted Mapping fAIr )

Initially lib was developed during Open AI Challenge with Omdeena. Learn more about challenge from here

hot_fair_utilities Installation

hot_fair_utilities is collection of utilities which contains core logic for model data prepration , training and postprocessing . It can support multiple models , Currently ramp is supported.

1. Install tensorflow 2.9.2 from [here] (https://www.tensorflow.org/install/pip) According to your os

Setup Ramp :

2. Clone ramp working dir

   git clone https://github.com/kshitijrajsharma/ramp-code-fAIr.git ramp-code
   

3. Install native bindings

   • Install Numpy

     pip install numpy==1.23.5
     

   • Install gdal .

     for eg : on Ubuntu

     sudo add-apt-repository ppa:ubuntugis/ppa && sudo apt-get update
     sudo apt-get install gdal-bin
     sudo apt-get install libgdal-dev
     export CPLUS_INCLUDE_PATH=/usr/include/gdal
     export C_INCLUDE_PATH=/usr/include/gdal
     pip install --global-option=build_ext --global-option="-I/usr/include/gdal" GDAL==`gdal-config --version`        
     

     on conda :

     conda install -c conda-forge gdal
     

   • Install rasterio

     for eg: on ubuntu :

     sudo apt-get install -y python3-rasterio
     

     on conda :

     conda install -c conda-forge rasterio
     

4. Install ramp requirements

   Install necessary requirements for ramp cd colab && make install && cd ../..

5. Install hot_fair_utilities

    ```
    pip install -e .
    ```
   

Conda Virtual Environment

Create from env fle

```
conda env create -f environment.yml
```

Create your own

```
conda create -n fAIr python=3.8
conda activate fAIr
conda install -c conda-forge gdal
conda install -c conda-forge geopandas
pip install pyogrio rasterio tensorflow
pip install -e hot_fair_utilities
```

Test Installation and workflow

You can run package_test.ipynb to your pc to test the installation and workflow with sample data provided