File size: 11,285 Bytes
7daf628 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 | """Cuts multiple clips from a single video using ffmpeg."""
import os
from os.path import join, exists
import numpy as np
import pandas as pd
from subprocess import call
from tqdm import tqdm
def cut_multiple_clips_video_only(
video_path: str,
start_times: list,
end_times: list,
save_dir: str,
video_id=None,
ext=None,
verbose=False,
):
"""Cuts multiple clips from a single video using ffmpeg.
Args:
video_path: Path to the video file.
start_times: List of start times for each clip.
end_times: List of end times for each clip.
"""
os.makedirs(save_dir, exist_ok=True)
assert len(start_times) == len(end_times), \
'start_times and end_times must have the same length.'
if video_id is None:
video_id = os.path.basename(video_path).split(".")[0]
if ext is None:
ext = os.path.basename(video_path).split(".")[1]
item_ids = [
f"{video_id}_{np.round(s, 1)}_{np.round(e, 1)}" \
for (s, e) in zip(start_times, end_times)
]
ins = [
f"[0:v]trim=start={s}:end={e},setpts=PTS-STARTPTS,scale=480:-1[v{i}]" \
for i, (s, e) in enumerate(zip(start_times, end_times))
]
ins = ";".join(ins)
outs = [
f"-map [v{i}] {save_dir}/{item_ids[i]}.{ext}" \
for i in range(len(start_times))
]
outs = " ".join(outs)
if not verbose:
suffix = "-loglevel panic"
else:
suffix = ""
command = f"""
ffmpeg -i {video_path} -filter_complex "{ins}" {outs} -y {suffix}
"""
call(command, shell=True)
def cut_multiple_clips_audio_and_video(
video_path: str,
start_times: list,
end_times: list,
save_dir: str,
video_id=None,
ext=None,
verbose=False,
):
"""Cuts multiple clips from a single video using ffmpeg.
Args:
video_path: Path to the video file.
start_times: List of start times for each clip.
end_times: List of end times for each clip.
"""
if args.verbose:
print("[:::] Cutting clips from video: ", video_path)
print("[:::] Number of clips to cut: ", len(start_times))
os.makedirs(save_dir, exist_ok=True)
assert len(start_times) == len(end_times), \
'start_times and end_times must have the same length.'
if video_id is None:
video_id = os.path.basename(video_path).split(".")[0]
if ext is None:
ext = os.path.basename(video_path).split(".")[1]
item_ids = [
f"{video_id}_{np.round(s, 1)}_{np.round(e, 1)}" \
for (s, e) in zip(start_times, end_times)
]
ins = [
f"[0:v]trim=start={s}:end={e},setpts=PTS-STARTPTS,scale=480:-1[v{i}];"\
f"[0:a:0]atrim=start={s}:end={e},asetpts=PTS-STARTPTS[a{i}]" \
for i, (s, e) in enumerate(zip(start_times, end_times))
]
ins = ";".join(ins)
outs = [
f"-map [v{i}] -map [a{i}] {save_dir}/{item_ids[i]}.{ext}" \
for i in range(len(start_times))
]
outs = " ".join(outs)
if not verbose:
suffix = "-loglevel panic"
else:
suffix = ""
command = f"""
ffmpeg -i {video_path} -filter_complex "{ins}" {outs} -y {suffix}
"""
call(command, shell=True)
def cut_multiple_clips_audio_and_video_v2(
video_path: str,
start_times: list,
end_times: list,
save_dir: str,
video_id=None,
ext=None,
verbose=False,
):
"""Cuts multiple clips from a single video using ffmpeg.
Args:
video_path: Path to the video file.
start_times: List of start times for each clip.
end_times: List of end times for each clip.
"""
if args.verbose:
print("[:::] Cutting clips from video: ", video_path)
print("[:::] Number of clips to cut: ", len(start_times))
os.makedirs(save_dir, exist_ok=True)
assert len(start_times) == len(end_times), \
'start_times and end_times must have the same length.'
if video_id is None:
video_id = os.path.basename(video_path).split(".")[0]
if ext is None:
ext = os.path.basename(video_path).split(".")[1]
item_ids = [
f"{video_id}_{np.round(s, 1)}_{np.round(e, 1)}" \
for (s, e) in zip(start_times, end_times)
]
ins = [
f"[0:v]trim=start={s}:end={e},setpts=PTS-STARTPTS,scale=480:-1[v{i}];"\
f"[0:a:0]atrim=start={s}:end={e},asetpts=PTS-STARTPTS[a{i}]" \
for i, (s, e) in enumerate(zip(start_times, end_times))
]
# ins = ";".join(ins)
outs = [
f"-map [v{i}] -map [a{i}] {save_dir}/{item_ids[i]}.{ext}" \
for i in range(len(start_times))
]
# outs = " ".join(outs)
if not verbose:
suffix = "-loglevel panic"
else:
suffix = ""
iterator = tqdm(range(len(start_times)), desc="Cutting clips for {}".format(video_id))
for i in iterator:
ins_ = ins[i]
outs_ = outs[i]
save_path = f"{save_dir}/{item_ids[i]}.{ext}"
os.makedirs(os.path.dirname(save_path), exist_ok=True)
if os.path.exists(save_path):
continue
command = f"""
ffmpeg -i {video_path} -filter_complex "{ins_}" {outs_} -y {suffix}
"""
call(command, shell=True)
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
# General arguments
parser.add_argument("--sanity", action="store_true")
parser.add_argument("--debug", action="store_true")
parser.add_argument("--verbose", action="store_true")
parser.add_argument(
"--ext", type=str, default="mp4",
)
# Arguments for input CSV
parser.add_argument(
"--csv", type=str, required=True,
help="Path to CSV file containing video IDs and timestamps",
)
parser.add_argument(
"--video_id_key", type=str, default="video_id",
)
parser.add_argument(
"--start_time_key", type=str, default="start_time",
)
parser.add_argument(
"--end_time_key", type=str, default="end_time",
)
parser.add_argument(
"--video_dir", type=str, required=True,
help="Path to directory containing downloaded videos",
)
parser.add_argument(
"--cut_dir", type=str, required=True,
help="Path to directory where cut videos will be saved",
)
parser.add_argument(
"--overwrite", action="store_true",
help="Whether to overwrite existing cut videos",
)
parser.add_argument(
"--video_only", action="store_true",
)
parser.add_argument(
"--si", type=int, default=0,
)
parser.add_argument(
"--ei", type=int, default=None,
)
args = parser.parse_args()
if args.sanity:
# Test without audio
video_path = "sample_data/folding_paper.mp4"
start_times = [0, 5, 10]
end_times = [5, 10, 15]
cut_multiple_clips_video_only(
video_path,
start_times,
end_times,
"./sample_data/clips",
verbose=args.verbose,
ext=args.ext,
)
# Test with audio
video_path = "sample_data/pouring_water_youtube.mp4"
start_times = [0, 5, 10]
end_times = [5, 10, 15]
cut_multiple_clips_audio_and_video(
video_path,
start_times,
end_times,
"./sample_data/clips",
verbose=args.verbose,
ext=args.ext,
)
else:
# Make cut_dir
os.makedirs(args.cut_dir, exist_ok=True)
# Load csv
assert os.path.exists(args.csv), f"CSV file {args.csv} does not exist."
df = pd.read_csv(args.csv)
print(">>> Loaded CSV file with shape", df.shape)
keys = [args.video_id_key, args.start_time_key, args.end_time_key]
assert set(keys).issubset(df.columns), \
f"CSV file must contain columns {keys}."
# Filter out videos that don't exist
df["video_path"] = df[args.video_id_key].apply(
lambda video_id: join(args.video_dir, f"{video_id}.{args.ext}"),
)
df["check_video"] = df["video_path"].apply(exists)
df = df[df["check_video"]]
del df["check_video"]
print(">>> Found videos for", df.shape[0], "rows.")
si = args.si
ei = args.ei if args.ei is not None else df.shape[0]
print("Running from indices", si, "to", ei)
df = df.iloc[si:ei]
if args.debug:
args.verbose = True
ext = args.ext
# Iterate over each video
video_paths = df["video_path"].unique()
# iterator = tqdm(range(len(video_paths)), desc="Cutting clips")
print("Number of unique videos:", len(video_paths))
for i in range(len(video_paths)):
video_path = video_paths[i]
# Find rows corresponding to this video
df_video = df[df["video_path"] == video_path]
print("Number of clips to cut from video", video_path, ":", df_video.shape[0])
start_times = df_video[args.start_time_key].values
end_times = df_video[args.end_time_key].values
video_id = df_video[args.video_id_key].values[0]
"""
# Cut to MAXLEN clips per video
MAX_LEN = 10
start_times_batches = np.array_split(start_times, MAX_LEN)
end_times_batches = np.array_split(end_times, MAX_LEN)
for start_times_, end_times_ in zip(start_times_batches, end_times_batches):
if args.video_only:
cut_multiple_clips_video_only(
video_path,
start_times_,
end_times_,
args.cut_dir,
video_id=video_id,
ext=ext,
verbose=args.verbose,
# verbose=True,
)
else:
cut_multiple_clips_audio_and_video_v2(
video_path,
start_times_,
end_times_,
args.cut_dir,
video_id=video_id,
ext=ext,
verbose=args.verbose,
# verbose=True,
)
"""
# """
# Cut videos
if args.video_only:
cut_multiple_clips_video_only(
video_path,
start_times,
end_times,
args.cut_dir,
video_id=video_id,
ext=ext,
verbose=args.verbose,
)
else:
cut_multiple_clips_audio_and_video_v2(
video_path,
start_times,
end_times,
args.cut_dir,
video_id=video_id,
ext=ext,
verbose=args.verbose,
)
# """
if args.debug:
break
|