def create_video_queue_vsffms2(args: Args, split_locations: List[int]) -> List[Chunk]: """ Create a list of chunks using vspipe and ffms2 for frame accurate seeking :param args: the Args :param split_locations: a list of frames to split on :return: A list of chunks """ # add first frame and last frame last_frame = frame_probe(args.input) split_locs_fl = [0] + split_locations + [last_frame] # pair up adjacent members of this list ex: [0, 10, 20, 30] -> [(0, 10), (10, 20), (20, 30)] chunk_boundaries = zip(split_locs_fl, split_locs_fl[1:]) # create a vapoursynth script that will load the source with ffms2 load_script = args.temp / 'split' / 'loadscript.vpy' source_file = args.input.absolute().as_posix() cache_file = (args.temp / 'split' / 'ffms2cache.ffindex').absolute().as_posix() with open(load_script, 'w') as file: file.writelines([ 'from vapoursynth import core\n', f'core.ffms2.Source("{source_file}", cachefile="{cache_file}").set_output()\n', ]) chunk_queue = [create_vsffms2_chunk(args, index, load_script, *cb) for index, cb in enumerate(chunk_boundaries)] return chunk_queue
def frame_check_output(chunk: Chunk, expected_frames: int) -> int: actual_frames = frame_probe(chunk.output_path) if actual_frames != expected_frames: print( f'Frame Count Differ for Source {chunk.name}: {actual_frames}/{expected_frames}' ) return actual_frames
def startup(args: Args, chunk_queue: List[Chunk]): """ If resuming, open done file and get file properties from there else get file properties and """ # TODO: move this out and pass in total frames and initial frames done_path = args.temp / 'done.json' if args.resume and done_path.exists(): log('Resuming...\n') with open(done_path) as done_file: data = json.load(done_file) total = data['total'] done = len(data['done']) initial = sum(data['done'].values()) log(f'Resumed with {done} encoded clips done\n\n') else: initial = 0 total = frame_probe_cv2(args.input) if total < 1: total = frame_probe(args.input) d = {'total': total, 'done': {}} with open(done_path, 'w') as done_file: json.dump(d, done_file) clips = len(chunk_queue) args.workers = min(args.workers, clips) print(f'\rQueue: {clips} Workers: {args.workers} Passes: {args.passes}\n' f'Params: {" ".join(args.video_params)}') counter = Manager().Counter(total, initial) args.counter = counter
def create_chunk_from_segment(args: Args, index: int, file: Path) -> Chunk: """ Creates a Chunk object from a segment file generated by ffmpeg :param args: the Args :param index: the index of the chunk :param file: the segmented file :return: A Chunk """ ffmpeg_gen_cmd = ['ffmpeg', '-y', '-hide_banner', '-loglevel', 'error', '-i', file.as_posix(), *args.pix_format, '-bufsize', '50000K', '-f', 'yuv4mpegpipe', '-'] file_size = file.stat().st_size frames = frame_probe(file) extension = ENCODERS[args.encoder].output_extension chunk = Chunk(args.temp, index, ffmpeg_gen_cmd, extension, file_size, frames) return chunk
def create_video_queue_select(args: Args, split_locations: List[int]) -> List[Chunk]: """ Create a list of chunks using the select filter :param args: the Args :param split_locations: a list of frames to split on :return: A list of chunks """ # add first frame and last frame last_frame = frame_probe(args.input) split_locs_fl = [0] + split_locations + [last_frame] # pair up adjacent members of this list ex: [0, 10, 20, 30] -> [(0, 10), (10, 20), (20, 30)] chunk_boundaries = zip(split_locs_fl, split_locs_fl[1:]) chunk_queue = [create_select_chunk(args, index, args.input, *cb) for index, cb in enumerate(chunk_boundaries)] return chunk_queue
def create_video_queue_hybrid(args: Args, split_locations: List[int]) -> List[Chunk]: """ Create list of chunks using hybrid segment-select approach :param args: the Args :param split_locations: a list of frames to split on :return: A list of chunks """ keyframes = get_keyframes(args.input) end = [frame_probe_cv2(args.input) ] if frame_probe_cv2(args.input) > 1 else [frame_probe(args.input)] splits = [0] + split_locations + end segments_list = list(zip(splits, splits[1:])) to_split = [x for x in keyframes if x in splits] if os.name == 'nt': to_split = reduce_segments(to_split) segments = [] # Make segments segment(args.input, args.temp, to_split[1:]) source_path = args.temp / 'split' queue_files = [x for x in source_path.iterdir() if x.suffix == '.mkv'] queue_files.sort(key=lambda p: p.stem) kf_list = list(zip(to_split, to_split[1:] + end)) for f, (x, y) in zip(queue_files, kf_list): to_add = [(f, [s[0] - x, s[1] - x]) for s in segments_list if s[0] >= x and s[1] <= y and s[0] - x < s[1] - x] segments.extend(to_add) chunk_queue = [ create_select_chunk(args, index, file, *cb) for index, (file, cb) in enumerate(segments) ] return chunk_queue
def aom_keyframes(video_path: Path, stat_file, min_scene_len, ffmpeg_pipe, video_params): """[Get frame numbers for splits from aomenc 1 pass stat file] """ log(f'Started aom_keyframes scenedetection\nParams: {video_params}\n') # Get CV2 fast framecount video = cv2.VideoCapture(video_path.as_posix()) total = int(video.get(cv2.CAP_PROP_FRAME_COUNT)) video.release() if total < 1: total = frame_probe(video_path) f, e = compose_aomsplit_first_pass_command(video_path, stat_file, ffmpeg_pipe, video_params) tqdm_bar = tqdm(total=total, initial=0, dynamic_ncols=True, unit="fr", leave=True, smoothing=0.2) ffmpeg_pipe = subprocess.Popen(f, stdout=PIPE, stderr=STDOUT) pipe = subprocess.Popen(e, stdin=ffmpeg_pipe.stdout, stdout=PIPE, stderr=STDOUT, universal_newlines=True) encoder_history = deque(maxlen=20) frame = 0 while True: line = pipe.stdout.readline() if len(line) == 0 and pipe.poll() is not None: break line = line.strip() if line: encoder_history.append(line) match = re.search(r"frame.*?/([^ ]+?) ", line) if match: new = int(match.group(1)) if new > frame: tqdm_bar.update(new - frame) frame = new if pipe.returncode != 0 and pipe.returncode != -2: # -2 is Ctrl+C for aom enc_hist = '\n'.join(encoder_history) er = f"\nAom first pass encountered an error: {pipe.returncode}\n{enc_hist}" log(er) print(er) if not stat_file.exists(): terminate() else: # aom crashed, but created keyframes.log, so we will try to continue print( "WARNING: Aom first pass crashed, but created a first pass file. Keyframe splitting may not be accurate." ) # aom kf-min-dist defaults to 0, but hardcoded to 3 in pass2_strategy.c test_candidate_kf. 0 matches default aom behavior # https://aomedia.googlesource.com/aom/+/8ac928be918de0d502b7b492708d57ad4d817676/av1/av1_cx_iface.c#2816 # https://aomedia.googlesource.com/aom/+/ce97de2724d7ffdfdbe986a14d49366936187298/av1/encoder/pass2_strategy.c#1907 min_scene_len = 0 if min_scene_len is None else min_scene_len keyframes = find_aom_keyframes(stat_file, min_scene_len) return keyframes