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12 changes: 8 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -55,10 +55,14 @@ This program is a machine learning model designed to predict flood inundation co
- Data can be downloaded from the [Google Drive](https://drive.google.com/drive/folders/1TW4Vfhu9SrrVrvonclicaWqy5hHBY7vv?usp=sharing)
- Save the folder as `data` in the parent directory

4. Set up a virtual environment (optional but recommended):
`python3 -m venv env source env/bin/activate # On Windows, use env\Scripts\activate`

5. Install the required libraries:
3. Instantiate a conda enviroment for Python 3.11:
```
conda create -n inflow_ai python=3.11
conda activate inflow_ai
conda install -c conda-forge rasterio=1.4.3
```

4. Install the required libraries:
`pip install -r requirements.txt`


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40 changes: 20 additions & 20 deletions requirements.txt
Original file line number Diff line number Diff line change
@@ -1,24 +1,24 @@
# Ensure Python >= 3.11

datetime==5.5
geopandas==1.0.1
datetime~=5.5
geopandas~=1.0.1
descartes
h5py==3.12.1
joblib==1.5.0
loguru==0.7.3
matplotlib==3.10.0
netCDF4==1.7.2
numpy==1.26.4
pandas==2.2.2
pathlib==1.0.1
py_hydroweb==1.0.2
rasterio==1.4.3
requests==2.32.3
scikit-learn==1.6.1
scipy==1.13.1
h5py~=3.12.1
joblib~=1.5.0
loguru~=0.7.3
matplotlib~=3.10.0
netCDF4~=1.7.2
numpy~=1.26.4
pandas~=2.2.2
pathlib~=1.0.1
py_hydroweb~=1.0.2
rasterio~=1.4.3
requests~=2.32.3
scikit-learn~=1.6.1
scipy~=1.13.1
shapely
tensorflow==2.18.0
tqdm>=4.66.1
typer==0.15.1
wget==3.2
xarray==2025.1.1
tensorflow~=2.18.0
tqdm~=4.66.1
typer~=0.15.1
wget~=3.2
xarray~=2025.1.1