Created
February 4, 2020 19:41
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MLP AVA Downloader
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| import os | |
| import requests | |
| from tqdm import tqdm | |
| from multiprocessing.pool import ThreadPool | |
| path = os.getcwd() | |
| with open(os.path.join(path, "names.txt")) as f: | |
| names = [line.rstrip() for line in f] | |
| print("Loading {} videos".format(len(names))) | |
| base_url = "https://s3.amazonaws.com/ava-dataset/trainval/" | |
| out_dir = os.path.join(path, "videos/") | |
| if not os.path.exists(out_dir): | |
| os.makedirs(out_dir) | |
| def fetch_video(name): | |
| response = requests.get(base_url + name, stream=True) | |
| total_length = int(response.headers.get('content-length')) | |
| with open(os.path.join(out_dir, name), "wb") as out: | |
| pbar = tqdm(total=int(total_length/1024) + 1, desc=name) | |
| for chunk in response.iter_content(chunk_size=1024): | |
| if chunk: | |
| out.write(chunk) | |
| out.flush() | |
| pbar.update(1) | |
| pbar.close() | |
| out.close() | |
| return out.name | |
| results = ThreadPool(8).imap_unordered(fetch_video, names) | |
| for result in results: | |
| print(result) |
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