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A package for running predictions using fAIr

Project description

fAIr Predictor

Run your fAIr Model Predictions anywhere !

Example on Collab

# Install 
!pip install fairpredictor

# Import 
from predictor import predict

# Parameters for your predictions 
bbox=[100.56228021333352,13.685230854641182,100.56383321235313,13.685961853747969]
model_path='checkpoint.h5'
zoom_level=20
tms_url='https://tiles.openaerialmap.org/6501a65c0906de000167e64d/0/6501a65c0906de000167e64e/{z}/{x}/{y}'

# Run your prediction 
my_predictions=predict(bbox,model_path,zoom_level,tms_url)
print(my_predictions)

## Visualize your predictions 

import geopandas as gpd
import matplotlib.pyplot as plt
gdf = gpd.GeoDataFrame.from_features(my_predictions)
gdf.plot()
plt.show()

Works on CPU ! Can work on serverless functions, No other dependencies to run predictions

Project details


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fairpredictor-0.0.17.tar.gz (9.2 kB view hashes)

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