from perceptron import config, detect

def low_latency_detect(image_path):
    with config(timeout=8, max_tokens=256):
        return detect(
            image=image_path,
            classes=["scratch"],
            expects="box",
        )

result = low_latency_detect("part.jpg")

import concurrent.futures
from functools import partial
from perceptron import detect

def process_images(images, classes):
    runner = partial(detect, classes=classes, expects="box")
    with concurrent.futures.ThreadPoolExecutor(max_workers=4) as executor:
        return list(executor.map(runner, images))