fairpredictor 0.3.15

A package for running predictions using fAIr

fAIr Predictor

Run your fAIr Model Predictions anywhere !

Example on python

# Install 
!pip install fairpredictor

import asyncio

from predictor import DEFAULT_OAM_TMS_MOSAIC, DEFAULT_RAMP_MODEL, predict

# Parameters for your predictions
bbox = [100.56228021333352, 13.685230854641182, 100.56383321235313, 13.685961853747969]
model_path = DEFAULT_RAMP_MODEL
zoom_level = 20
tms_url = DEFAULT_OAM_TMS_MOSAIC

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

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

Load Testing

CAUTION : Always take permission of server admin before you perform load test

In order to perform load testing we use Locust , To enable this hit following command within the root dir

• Install locust

  pip install locust
  

• Run locust script

  locust -f locust.py
  

Populate your HOST and replace it with BASE URL of the Predictor URL

Docker

Build

sudo docker build . -t fairpredictor 

Run

sudo docker run --rm --name fairpredictor -v $(pwd):/mnt -p 8000:8000 fairpredictor

Navigate to localhost:8000 and shoot following request body

{
  "bbox": [100.56228021333352, 13.685230854641182, 100.56383321235313, 13.685961853747969],
  "checkpoint": "/mnt/tests/checkpoints/ramp/checkpoint.tflite",
  "zoom_level": 20,
  "source": "https://tiles.openaerialmap.org/6501a65c0906de000167e64d/0/6501a65c0906de000167e64e/{z}/{x}/{y}"
}