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Running
on
Zero
""" | |
Used to compress videos (FPS and dimensions) in the Singularity project. | |
Modified from https://github.com/ArrowLuo/CLIP4Clip | |
""" | |
import os | |
from os.path import exists, join | |
import argparse | |
import subprocess | |
from multiprocessing import Pool | |
import shutil | |
try: | |
from psutil import cpu_count | |
except: | |
from multiprocessing import cpu_count | |
from functools import partial | |
from tqdm import tqdm | |
from PIL import Image | |
def resize_image(input_path, output_path, size=224): | |
with Image.open(input_path) as img: | |
w, h = img.width, img.height | |
r = 1. * w / h | |
if w > h: | |
h = size | |
w = r * size | |
else: | |
h = size / r | |
w = size | |
img_resized = img.resize((int(w), int(h))) | |
img_resized.save(output_path) | |
def _compress_images(input_output_pair, size=224): | |
""" | |
Scale and downsample an input image to a given fps and size (shorter side size). | |
This also removes the audio from the image. | |
""" | |
input_image_path, output_image_path = input_output_pair | |
try: | |
resize_image(input_image_path, output_image_path, size) | |
except Exception as e: | |
print(f"Caught Exception {e}") | |
def _compress_videos(input_output_pair, size=224, fps=3): | |
""" | |
Scale and downsample an input video to a given fps and size (shorter side size). | |
This also removes the audio from the video. | |
""" | |
input_file_path, output_file_path = input_output_pair | |
try: | |
command = ['ffmpeg', | |
'-y', # (optional) overwrite output file if it exists | |
'-i', input_file_path, | |
'-filter:v', # no audio | |
f"scale='if(gt(a,1),trunc(oh*a/2)*2,{size})':'if(gt(a,1),{size},trunc(ow*a/2)*2)'", | |
'-map', '0:v', # no audio | |
'-r', str(fps), # frames per second | |
# '-g', str(16), | |
output_file_path, | |
] | |
result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.STDOUT) | |
except Exception as e: | |
raise e | |
def _compress(input_output_pair, fps=3, size=224, file_type="image"): | |
if file_type == "image": | |
_compress_images(input_output_pair, size) | |
elif file_type == "video": | |
_compress_videos(input_output_pair, size, fps) | |
def prepare_input_output_pairs(input_root, output_root, input_file_list_path=None): | |
# filename list in `input_file_list_path` can be created very fast using `ls -U . >> ../video_filenames.txt` | |
with open(input_file_list_path, "r") as f: | |
filenames = [s.strip() for s in f.readlines()] | |
print(f"There are {len(filenames)} video/images files loaded from list.") | |
input_file_path_list = [] | |
output_file_path_list = [] | |
for e in tqdm(filenames, desc="find un-processed videos/images"): | |
input_file_path = join(input_root, e) | |
output_file_path = join(output_root, e) | |
if not exists(output_file_path): | |
input_file_path_list.append(input_file_path) | |
output_file_path_list.append(output_file_path) | |
return input_file_path_list, output_file_path_list | |
def run_compress(): | |
parser = argparse.ArgumentParser(description="Compress videos/images for speed-up") | |
parser.add_argument("--input_root", type=str, help="input root", required=True) | |
parser.add_argument("--input_file_list_path", type=str, required=True, default=None, | |
help="list of video filenames under args.input_root, it can be " | |
"created efficiently with `ls -U /path/to/video >> /path/to/video_filenames.txt`") | |
parser.add_argument("--output_root", type=str, help="output root", required=True) | |
parser.add_argument("--size", type=int, default=224, help="shorter side size, aspect ratio is kept") | |
parser.add_argument("--num_workers", type=int, default=24, help="#workers") | |
parser.add_argument("--fps", type=int, default=3, help="fps for output video, ignored if file_type == image") | |
parser.add_argument("--file_type", type=str, choices=["image", "video"], help="input file type") | |
args = parser.parse_args() | |
# set paths | |
input_root = args.input_root | |
output_root = args.output_root | |
assert input_root != output_root | |
if not exists(output_root): | |
os.makedirs(output_root, exist_ok=True) | |
# prepare and find un-processed | |
input_file_path_list, output_file_path_list = prepare_input_output_pairs( | |
input_root, output_root, input_file_list_path=args.input_file_list_path, | |
) | |
print(f"input_file_path_list[:3] {input_file_path_list[:3]}") | |
print(f"output_file_path_list[:3] {output_file_path_list[:3]}") | |
print("Total videos/images need to process: {}".format(len(input_file_path_list))) | |
# start parallel jobs | |
num_cores = cpu_count() | |
num_workers = args.num_workers | |
print(f"Begin with {num_cores}-core logical processor, {num_workers} workers") | |
compress = partial(_compress, fps=args.fps, size=args.size, file_type=args.file_type) | |
input_pairs = list(zip(input_file_path_list, output_file_path_list)) | |
with Pool(num_workers) as pool, tqdm(total=len(input_file_path_list), desc="re-encoding videos/images") as pbar: | |
for idx, _ in enumerate(pool.imap_unordered(compress, input_pairs, chunksize=32)): | |
pbar.update(1) | |
# copy-paste failed files | |
print("Compress finished, copy-paste failed files...") | |
copy_count = 0 | |
for input_file_path, output_file_path in zip(input_file_path_list, output_file_path_list): | |
if exists(input_file_path): | |
if exists(output_file_path) is False or os.path.getsize(output_file_path) < 1.: | |
copy_count += 1 | |
shutil.copyfile(input_file_path, output_file_path) | |
print("Copy and replace file: {}".format(output_file_path)) | |
print(f"copy_count {copy_count}") | |
if __name__ == "__main__": | |
run_compress() | |