Use in-memory image in Plate Recognizer and other speed tricks.

platerec_lookup_memory.py

import io
import json

import requests
from PIL import Image


def main():
    im = Image.new('RGB', (300, 300))
    # or
    # im = Image.fromarray(frame)
    buffer = io.BytesIO()
    im.save(buffer, 'PPM')  # PPM does no compression
    buffer.seek(0)
    response = requests.post('http://localhost:8080/v1/plate-reader/',
                             files=dict(upload=buffer),
                             data=dict(regions=[],
                                       config=json.dumps(dict(mode='fast')))) # Speed up processing. Do only 1 detection step. 
    print(response.json())


if __name__ == "__main__":
    main()