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# Copyright (c) OpenMMLab. All rights reserved.
"""Used to compress videos (FPS and dimensions) in the Singularity project.
copied from https://github.com/klauscc/VindLU
"""
import argparse
import os
import shutil
import subprocess
from multiprocessing import Pool
from os.path import exists, join
from pathlib import Path
try:
from psutil import cpu_count
except ImportError:
from multiprocessing import cpu_count
from functools import partial
from PIL import Image
from tqdm import tqdm
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)'", # noqa: E501
'-map',
'0:v', # no audio
'-r',
str(fps), # frames per second
# '-g', str(16),
output_file_path,
]
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` # noqa: E501
if input_file_list_path:
with open(input_file_list_path, 'r') as f:
filenames = [s.strip() for s in f.readlines()]
else:
filenames = [
video_path.name for video_path in Path(input_root).glob('*.mp4')
]
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,
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`' # noqa: E501
)
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()
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