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import os
import shutil
import argparse
from typing import List
import numpy as np
from tqdm import tqdm
from PIL import Image
def crop_video_dataset(source_dir: str, max_num_frames: int=None, slice_n_left_frames: int=0, resize: int=None, target_dir: str=None):
dataset_name = os.path.basename(source_dir)
if target_dir is None:
max_num_frames_prefix = "" if max_num_frames is None else f"_cut{max_num_frames}"
slice_prefix = "" if slice_n_left_frames == 0 else f"_slice{slice_n_left_frames}"
new_dataset_name = f"{dataset_name}{max_num_frames_prefix}{slice_prefix}"
target_dir = os.path.join(os.path.dirname(source_dir), new_dataset_name)
all_clips_paths = listdir_full_paths(source_dir)
os.makedirs(target_dir, exist_ok=True)
slice_proportions = []
total_num_frames = 0
for source_clip_dir in tqdm(all_clips_paths, desc=f'Cropping the dataset into {target_dir}'):
all_frames = listdir_full_paths(source_clip_dir)
if len(all_frames) == 0:
print(f'{source_clip_dir} is empty. Skipping it.')
continue
target_clip_dir = os.path.join(target_dir, os.path.basename(source_clip_dir))
os.makedirs(target_clip_dir, exist_ok=True)
total_num_frames += len(all_frames)
slice_proportions.append(slice_n_left_frames / len(all_frames))
all_frames = all_frames[slice_n_left_frames:]
if not max_num_frames is None:
all_frames = all_frames[:max_num_frames]
for source_frame_path in all_frames:
target_frame_path = os.path.join(target_clip_dir, os.path.basename(source_frame_path))
if resize is None:
shutil.copy(source_frame_path, target_frame_path)
else:
assert target_frame_path.endswith('.jpg')
Image.open(source_frame_path).resize((resize, resize), resample=Image.LANCZOS).save(target_frame_path, q=95)
print(f'Done! Sliced {np.mean(slice_proportions) * 100.0 : .02f}% on average. {len(all_clips_paths) * slice_n_left_frames / total_num_frames * 100.0 : .02f}% of total num frames.')
def listdir_full_paths(d) -> List[os.PathLike]:
return sorted([os.path.join(d, x) for x in os.listdir(d)])
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Crops a video dataset temporally into several frames')
parser.add_argument('source_dir', type=str, help='Path to the dataset')
parser.add_argument('-n', '--max_num_frames', type=int, default=None, help='Number of frames to preserve')
parser.add_argument('--slice_n_left_frames', type=int, default=0, help='Number of frames to slice from the left')
parser.add_argument('--resize', type=int, default=None, help='Should we resize the dataset')
parser.add_argument('--target_dir', type=str, default=None, help='Should we resize the dataset')
args = parser.parse_args()
crop_video_dataset(
source_dir=args.source_dir,
max_num_frames=args.max_num_frames,
slice_n_left_frames=args.slice_n_left_frames,
resize=args.resize,
target_dir=args.target_dir,
)
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