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"""
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()
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