Python 如何执行并发aws重新确认请求

我正在复制一项有33000张图片的研究，我正在使用aws Rekognion来标记这些图片。然而，我似乎无法获得正确的并发性。第一次在Python中使用线程，所以我的无知可能是问题所在

单线程应用程序可以工作，但我的并发尝试只写空标签。 我的代码有问题吗

下面是正在工作的单线程代码，速度很慢，需要花费很长时间。 我在github上设置了一个示例图像集

以及输出为空的多线程代码

import boto3
import concurrent.futures
import threading
import time
import os

client = boto3.client('rekognition')

def download_labels(image_url):
    image_url_path = "small_images/" + image_url
    with open(image_url_path, "rb") as image:
        f = image.read()
        b = bytearray(f)


        response = client.detect_faces(
            Image={
                'Bytes': b
            },
            Attributes=[
                'ALL'
            ]
        )

        filename = "Labels/" + image_url + ".json"
        with open(filename, 'w') as json_file:
            json.dump(response, json_file)


def download_all(images):
    with concurrent.futures.ThreadPoolExecutor(max_workers=30) as executor:
        executor.map(download_labels, images)


if __name__ == "__main__":
    image_list = os.listdir("Images/")
    start_time = time.time()
    download_all(image_list)
    duration = time.time() - start_time
    print(f"Downloaded {len(image_list)} in {duration} seconds")

import boto3
import concurrent.futures
import threading
import time
import os

client = boto3.client('rekognition')

def download_labels(image_url):
    image_url_path = "small_images/" + image_url
    with open(image_url_path, "rb") as image:
        f = image.read()
        b = bytearray(f)


        response = client.detect_faces(
            Image={
                'Bytes': b
            },
            Attributes=[
                'ALL'
            ]
        )

        filename = "Labels/" + image_url + ".json"
        with open(filename, 'w') as json_file:
            json.dump(response, json_file)


def download_all(images):
    with concurrent.futures.ThreadPoolExecutor(max_workers=30) as executor:
        executor.map(download_labels, images)


if __name__ == "__main__":
    image_list = os.listdir("Images/")
    start_time = time.time()
    download_all(image_list)
    duration = time.time() - start_time
    print(f"Downloaded {len(image_list)} in {duration} seconds")