def capture_video(video_path, capture_path, default_path):
print("\n[전환장면 캡처 시작] 영상 내 전환 시점을 기준으로 이미지 추출을 시작합니다")
video_manager = VideoManager([video_path])
stats_manager = StatsManager()
scene_manager = SceneManager(stats_manager)
# 가장 예민하게 잡아내도록 1~100 중 1로 설정
scene_manager.add_detector(ContentDetector(threshold=1))
video_manager.set_downscale_factor()
video_manager.start()
scene_manager.detect_scenes(frame_source=video_manager)
scene_list = scene_manager.get_scene_list()
print(">>>", f'{len(scene_list)} scenes detected!') # 전환 인식이 된 장면의 수
save_images(scene_list,
video_manager,
num_images=1,
image_name_template='$SCENE_NUMBER',
output_dir=capture_path)
write_scene_list_html(default_path + 'SceneDetectResult.html', scene_list)
captured_timeline_list = [] # 전환된 시점을 저장할 리스트 함수
for scene in scene_list:
start, end = scene
# 전환 시점 저장
captured_timeline_list.append(start.get_seconds())
print("[전환장면 캡처 종료] 영상 내 전환 시점을 기준으로 이미지 추출을 종료합니다\n")
return captured_timeline_list
def process_input(self):
# type: () -> None
""" Process Input: Processes input video(s) and generates output as per CLI commands.
Run after all command line options/sub-commands have been parsed.
"""
logging.debug('Processing input...')
if not self.options_processed:
logging.debug(
'Skipping processing, CLI options were not parsed successfully.'
)
return
self.check_input_open()
if not self.scene_manager.get_num_detectors() > 0:
logging.error(
'No scene detectors specified (detect-content, detect-threshold, etc...),\n'
' or failed to process all command line arguments.')
return
# Handle scene detection commands (detect-content, detect-threshold, etc...).
self.video_manager.start()
base_timecode = self.video_manager.get_base_timecode()
start_time = time.time()
logging.info('Detecting scenes...')
num_frames = self.scene_manager.detect_scenes(
frame_source=self.video_manager,
frame_skip=self.frame_skip,
show_progress=not self.quiet_mode)
duration = time.time() - start_time
logging.info('Processed %d frames in %.1f seconds (average %.2f FPS).',
num_frames, duration,
float(num_frames) / duration)
# Handle -s/--statsfile option.
if self.stats_file_path is not None:
if self.stats_manager.is_save_required():
with open(self.stats_file_path, 'wt') as stats_file:
logging.info('Saving frame metrics to stats file: %s',
os.path.basename(self.stats_file_path))
self.stats_manager.save_to_csv(stats_file, base_timecode)
else:
logging.debug(
'No frame metrics updated, skipping update of the stats file.'
)
# Get list of detected cuts and scenes from the SceneManager to generate the required output
# files with based on the given commands (list-scenes, split-video, save-images, etc...).
cut_list = self.scene_manager.get_cut_list(base_timecode)
scene_list = self.scene_manager.get_scene_list(base_timecode)
video_paths = self.video_manager.get_video_paths()
video_name = os.path.basename(video_paths[0])
if video_name.rfind('.') >= 0:
video_name = video_name[:video_name.rfind('.')]
# Ensure we don't divide by zero.
if scene_list:
logging.info(
'Detected %d scenes, average shot length %.1f seconds.',
len(scene_list),
sum([(end_time - start_time).get_seconds()
for start_time, end_time in scene_list]) /
float(len(scene_list)))
else:
logging.info('No scenes detected.')
# Handle list-scenes command.
if self.scene_list_output:
scene_list_filename = Template(
self.scene_list_name_format).safe_substitute(
VIDEO_NAME=video_name)
if not scene_list_filename.lower().endswith('.csv'):
scene_list_filename += '.csv'
scene_list_path = get_and_create_path(
scene_list_filename,
self.scene_list_directory if self.scene_list_directory
is not None else self.output_directory)
logging.info('Writing scene list to CSV file:\n %s',
scene_list_path)
with open(scene_list_path, 'wt') as scene_list_file:
write_scene_list(scene_list_file, scene_list, cut_list)
# Handle `list-scenes`.
if self.print_scene_list:
logging.info(
"""Scene List:
-----------------------------------------------------------------------
| Scene # | Start Frame | Start Time | End Frame | End Time |
-----------------------------------------------------------------------
%s
-----------------------------------------------------------------------
""", '\n'.join([
' | %5d | %11d | %s | %11d | %s |' %
(i + 1, start_time.get_frames(), start_time.get_timecode(),
end_time.get_frames(), end_time.get_timecode())
for i, (start_time, end_time) in enumerate(scene_list)
]))
if cut_list:
logging.info('Comma-separated timecode list:\n %s',
','.join([cut.get_timecode() for cut in cut_list]))
# Handle save-images command.
if self.save_images:
self._generate_images(
scene_list=scene_list,
video_name=video_name,
image_name_template=self.image_name_format,
output_dir=self.image_directory,
downscale_factor=self.video_manager.get_downscale_factor())
# Handle export-html command.
if self.export_html:
html_filename = Template(
self.html_name_format).safe_substitute(VIDEO_NAME=video_name)
if not html_filename.lower().endswith('.html'):
html_filename += '.html'
html_path = get_and_create_path(
html_filename, self.image_directory
if self.image_directory is not None else self.output_directory)
logging.info('Exporting to html file:\n %s:', html_path)
if not self.html_include_images:
self.image_filenames = None
write_scene_list_html(html_path,
scene_list,
cut_list,
image_filenames=self.image_filenames,
image_width=self.image_width,
image_height=self.image_height)
# Handle split-video command.
if self.split_video:
# Add proper extension to filename template if required.
dot_pos = self.split_name_format.rfind('.')
if self.split_mkvmerge and not self.split_name_format.endswith(
'.mkv'):
self.split_name_format += '.mkv'
# Don't add if we find an extension between 2 and 4 characters
elif not (dot_pos >= 0) or (dot_pos >= 0
and not ((len(self.split_name_format) -
(dot_pos + 1) <= 4 >= 2))):
self.split_name_format += '.mp4'
output_file_prefix = get_and_create_path(
self.split_name_format, self.split_directory
if self.split_directory is not None else self.output_directory)
mkvmerge_available = is_mkvmerge_available()
ffmpeg_available = is_ffmpeg_available()
if mkvmerge_available and (self.split_mkvmerge
or not ffmpeg_available):
if not self.split_mkvmerge:
logging.warning(
'ffmpeg not found, falling back to fast copy mode (split-video -c/--copy).'
)
split_video_mkvmerge(video_paths,
scene_list,
output_file_prefix,
video_name,
suppress_output=self.quiet_mode
or self.split_quiet)
elif ffmpeg_available:
if self.split_mkvmerge:
logging.warning(
'mkvmerge not found, falling back to normal splitting'
' mode (split-video).')
split_video_ffmpeg(video_paths,
scene_list,
output_file_prefix,
video_name,
arg_override=self.split_args,
hide_progress=self.quiet_mode,
suppress_output=self.quiet_mode
or self.split_quiet)
else:
if not (mkvmerge_available or ffmpeg_available):
error_strs = [
"ffmpeg/mkvmerge is required for split-video [-c/--copy]."
]
else:
error_strs = [
"{EXTERN_TOOL} is required for split-video{EXTRA_ARGS}."
.format(EXTERN_TOOL='mkvmerge'
if self.split_mkvmerge else 'ffmpeg',
EXTRA_ARGS=' -c/--copy'
if self.split_mkvmerge else '')
]
error_strs += [
"Install one of the above tools to enable the split-video command."
]
error_str = '\n'.join(error_strs)
logging.debug(error_str)
raise click.BadParameter(error_str, param_hint='split-video')
if scene_list:
logging.info(
'Video splitting completed, individual scenes written to disk.'
)
def process_input(self):
# type: () -> None
""" Process Input: Processes input video(s) and generates output as per CLI commands.
Run after all command line options/sub-commands have been parsed.
"""
self.logger.debug('Processing input...')
if not self.options_processed:
self.logger.debug(
'Skipping processing, CLI options were not parsed successfully.'
)
return
self.check_input_open()
assert self.scene_manager.get_num_detectors() >= 0
if self.scene_manager.get_num_detectors() == 0:
self.logger.error(
'No scene detectors specified (detect-content, detect-threshold, etc...),\n'
' or failed to process all command line arguments.')
return
# Display a warning if the video codec type seems unsupported (#86).
if int(abs(self.video_manager.get(cv2.CAP_PROP_FOURCC))) == 0:
self.logger.error(
'Video codec detection failed, output may be incorrect.\nThis could be caused'
' by using an outdated version of OpenCV, or using codecs that currently are'
' not well supported (e.g. VP9).\n'
'As a workaround, consider re-encoding the source material before processing.\n'
'For details, see https://github.com/Breakthrough/PySceneDetect/issues/86'
)
# Handle scene detection commands (detect-content, detect-threshold, etc...).
self.video_manager.start()
start_time = time.time()
self.logger.info('Detecting scenes...')
num_frames = self.scene_manager.detect_scenes(
frame_source=self.video_manager,
frame_skip=self.frame_skip,
show_progress=not self.quiet_mode)
# Handle case where video fails with multiple audio tracks (#179).
# TODO: Using a different video backend as per #213 may also resolve this issue,
# as well as numerous other timing related issues.
if num_frames <= 0:
self.logger.critical(
'Failed to read any frames from video file. This could be caused'
' by the video having multiple audio tracks. If so, please try'
' removing the audio tracks or muxing to mkv via:\n'
' ffmpeg -i input.mp4 -c copy -an output.mp4\n'
'or:\n'
' mkvmerge -o output.mkv input.mp4\n'
'For details, see https://pyscenedetect.readthedocs.io/en/latest/faq/'
)
return
duration = time.time() - start_time
self.logger.info(
'Processed %d frames in %.1f seconds (average %.2f FPS).',
num_frames, duration,
float(num_frames) / duration)
# Handle -s/--statsfile option.
if self.stats_file_path is not None:
if self.stats_manager.is_save_required():
with open(self.stats_file_path, 'wt') as stats_file:
self.logger.info('Saving frame metrics to stats file: %s',
os.path.basename(self.stats_file_path))
base_timecode = self.video_manager.get_base_timecode()
self.stats_manager.save_to_csv(stats_file, base_timecode)
else:
self.logger.debug(
'No frame metrics updated, skipping update of the stats file.'
)
# Get list of detected cuts and scenes from the SceneManager to generate the required output
# files with based on the given commands (list-scenes, split-video, save-images, etc...).
cut_list = self.scene_manager.get_cut_list()
scene_list = self.scene_manager.get_scene_list()
# Handle --drop-short-scenes.
if self.drop_short_scenes and self.min_scene_len > 0:
scene_list = [
s for s in scene_list if (s[1] - s[0]) >= self.min_scene_len
]
video_paths = self.video_manager.get_video_paths()
video_name = self.video_manager.get_video_name()
if scene_list: # Ensure we don't divide by zero.
self.logger.info(
'Detected %d scenes, average shot length %.1f seconds.',
len(scene_list),
sum([(end_time - start_time).get_seconds()
for start_time, end_time in scene_list]) /
float(len(scene_list)))
else:
self.logger.info('No scenes detected.')
# Handle list-scenes command.
if self.scene_list_output:
scene_list_filename = Template(
self.scene_list_name_format).safe_substitute(
VIDEO_NAME=video_name)
if not scene_list_filename.lower().endswith('.csv'):
scene_list_filename += '.csv'
scene_list_path = get_and_create_path(
scene_list_filename,
self.scene_list_directory if self.scene_list_directory
is not None else self.output_directory)
self.logger.info('Writing scene list to CSV file:\n %s',
scene_list_path)
with open(scene_list_path, 'wt') as scene_list_file:
write_scene_list(output_csv_file=scene_list_file,
scene_list=scene_list,
include_cut_list=not self.skip_cuts,
cut_list=cut_list)
if self.print_scene_list:
self.logger.info(
"""Scene List:
-----------------------------------------------------------------------
| Scene # | Start Frame | Start Time | End Frame | End Time |
-----------------------------------------------------------------------
%s
-----------------------------------------------------------------------
""", '\n'.join([
' | %5d | %11d | %s | %11d | %s |' %
(i + 1, start_time.get_frames(), start_time.get_timecode(),
end_time.get_frames(), end_time.get_timecode())
for i, (start_time, end_time) in enumerate(scene_list)
]))
if cut_list:
self.logger.info(
'Comma-separated timecode list:\n %s',
','.join([cut.get_timecode() for cut in cut_list]))
# Handle save-images command.
if self.save_images:
image_output_dir = self.output_directory
if self.image_directory is not None:
image_output_dir = self.image_directory
image_filenames = save_images(
scene_list=scene_list,
video_manager=self.video_manager,
num_images=self.num_images,
frame_margin=self.frame_margin,
image_extension=self.image_extension,
encoder_param=self.image_param,
image_name_template=self.image_name_format,
output_dir=image_output_dir,
show_progress=not self.quiet_mode,
scale=self.scale,
height=self.height,
width=self.width)
# Handle export-html command.
if self.export_html:
html_filename = Template(
self.html_name_format).safe_substitute(VIDEO_NAME=video_name)
if not html_filename.lower().endswith('.html'):
html_filename += '.html'
html_path = get_and_create_path(
html_filename, self.image_directory
if self.image_directory is not None else self.output_directory)
self.logger.info('Exporting to html file:\n %s:', html_path)
if not self.html_include_images:
image_filenames = None
write_scene_list_html(html_path,
scene_list,
cut_list,
image_filenames=image_filenames,
image_width=self.image_width,
image_height=self.image_height)
# Handle split-video command.
if self.split_video:
output_path_template = self.split_name_format
# Add proper extension to filename template if required.
dot_pos = output_path_template.rfind('.')
extension_length = 0 if dot_pos < 0 else len(
output_path_template) - (dot_pos + 1)
# If using mkvmerge, force extension to .mkv.
if self.split_mkvmerge and not output_path_template.endswith(
'.mkv'):
output_path_template += '.mkv'
# Otherwise, if using ffmpeg, only add an extension if one doesn't exist.
elif not 2 <= extension_length <= 4:
output_path_template += '.mp4'
output_path_template = get_and_create_path(
output_path_template, self.split_directory
if self.split_directory is not None else self.output_directory)
# Ensure the appropriate tool is available before handling split-video.
check_split_video_requirements(self.split_mkvmerge)
if self.split_mkvmerge:
split_video_mkvmerge(video_paths,
scene_list,
output_path_template,
video_name,
suppress_output=self.quiet_mode
or self.split_quiet)
else:
split_video_ffmpeg(video_paths,
scene_list,
output_path_template,
video_name,
arg_override=self.split_args,
hide_progress=self.quiet_mode,
suppress_output=self.quiet_mode
or self.split_quiet)
if scene_list:
self.logger.info(
'Video splitting completed, individual scenes written to disk.'
)
stats_manager = StatsManager()
scene_manager = SceneManager(stats_manager)
scene_manager.add_detector(ContentDetector(threshold=50))
video_manager.set_downscale_factor()
video_manager.start()
scene_manager.detect_scenes(frame_source=video_manager)
# result
with open(stats_path, 'w') as f:
stats_manager.save_to_csv(f, video_manager.get_base_timecode())
scene_list = scene_manager.get_scene_list()
print(f'{len(scene_list)} scenes detected!')
save_images(scene_list,
video_manager,
num_images=1,
image_name_template='$SCENE_NUMBER',
output_dir='scenes')
write_scene_list_html('result.html', scene_list)
for scene in scene_list:
start, end = scene
# your code
print(f'{start.get_seconds()} - {end.get_seconds()}')
def process_input(self):
# type: () -> None
""" Process Input: Processes input video(s) and generates output as per CLI commands.
Run after all command line options/sub-commands have been parsed.
"""
logging.debug('Processing input...')
if not self.options_processed:
logging.debug('Skipping processing, CLI options were not parsed successfully.')
return
self.check_input_open()
if not self.scene_manager.get_num_detectors() > 0:
logging.error(
'No scene detectors specified (detect-content, detect-threshold, etc...),\n'
' or failed to process all command line arguments.')
return
# Handle scene detection commands (detect-content, detect-threshold, etc...).
self.video_manager.start()
base_timecode = self.video_manager.get_base_timecode()
start_time = time.time()
logging.info('Detecting scenes...')
num_frames = self.scene_manager.detect_scenes(
frame_source=self.video_manager, frame_skip=self.frame_skip,
show_progress=not self.quiet_mode)
duration = time.time() - start_time
logging.info('Processed %d frames in %.1f seconds (average %.2f FPS).',
num_frames, duration, float(num_frames)/duration)
# Handle -s/--statsfile option.
if self.stats_file_path is not None:
if self.stats_manager.is_save_required():
with open(self.stats_file_path, 'wt') as stats_file:
logging.info('Saving frame metrics to stats file: %s',
os.path.basename(self.stats_file_path))
self.stats_manager.save_to_csv(
stats_file, base_timecode)
else:
logging.debug('No frame metrics updated, skipping update of the stats file.')
# Get list of detected cuts and scenes from the SceneManager to generate the required output
# files with based on the given commands (list-scenes, split-video, save-images, etc...).
cut_list = self.scene_manager.get_cut_list(base_timecode)
scene_list = self.scene_manager.get_scene_list(base_timecode)
video_paths = self.video_manager.get_video_paths()
video_name = os.path.basename(video_paths[0])
if video_name.rfind('.') >= 0:
video_name = video_name[:video_name.rfind('.')]
# Ensure we don't divide by zero.
if scene_list:
logging.info('Detected %d scenes, average shot length %.1f seconds.',
len(scene_list),
sum([(end_time - start_time).get_seconds()
for start_time, end_time in scene_list]) / float(len(scene_list)))
else:
logging.info('No scenes detected.')
# Handle list-scenes command.
if self.scene_list_output:
scene_list_filename = Template(self.scene_list_name_format).safe_substitute(
VIDEO_NAME=video_name)
if not scene_list_filename.lower().endswith('.csv'):
scene_list_filename += '.csv'
scene_list_path = self.get_output_file_path(
scene_list_filename, self.scene_list_directory)
logging.info('Writing scene list to CSV file:\n %s', scene_list_path)
with open(scene_list_path, 'wt') as scene_list_file:
write_scene_list(scene_list_file, scene_list, cut_list)
# Handle `list-scenes`.
if self.print_scene_list:
logging.info("""Scene List:
-----------------------------------------------------------------------
| Scene # | Start Frame | Start Time | End Frame | End Time |
-----------------------------------------------------------------------
%s
-----------------------------------------------------------------------
""", '\n'.join(
[' | %5d | %11d | %s | %11d | %s |' % (
i+1,
start_time.get_frames(), start_time.get_timecode(),
end_time.get_frames(), end_time.get_timecode())
for i, (start_time, end_time) in enumerate(scene_list)]))
if cut_list:
logging.info('Comma-separated timecode list:\n %s',
','.join([cut.get_timecode() for cut in cut_list]))
# Handle save-images command.
if self.save_images:
self._generate_images(scene_list=scene_list, video_name=video_name,
image_name_template=self.image_name_format,
output_dir=self.image_directory)
# Handle export-html command.
if self.export_html:
html_filename = Template(self.html_name_format).safe_substitute(
VIDEO_NAME=video_name)
if not html_filename.lower().endswith('.html'):
html_filename += '.html'
html_path = self.get_output_file_path(
html_filename, self.image_directory)
logging.info('Exporting to html file:\n %s:', html_path)
if not self.html_include_images:
self.image_filenames = None
write_scene_list_html(html_path, scene_list, cut_list,
image_filenames=self.image_filenames,
image_width=self.image_width,
image_height=self.image_height)
# Handle split-video command.
if self.split_video:
# Add proper extension to filename template if required.
dot_pos = self.split_name_format.rfind('.')
if self.split_mkvmerge and not self.split_name_format.endswith('.mkv'):
self.split_name_format += '.mkv'
# Don't add if we find an extension between 2 and 4 characters
elif not (dot_pos >= 0) or (
dot_pos >= 0 and not
((len(self.split_name_format) - (dot_pos+1) <= 4 >= 2))):
self.split_name_format += '.mp4'
output_file_prefix = self.get_output_file_path(
self.split_name_format, output_dir=self.split_directory)
mkvmerge_available = is_mkvmerge_available()
ffmpeg_available = is_ffmpeg_available()
if mkvmerge_available and (self.split_mkvmerge or not ffmpeg_available):
if not self.split_mkvmerge:
logging.warning(
'ffmpeg not found, falling back to fast copy mode (split-video -c/--copy).')
split_video_mkvmerge(video_paths, scene_list, output_file_prefix, video_name,
suppress_output=self.quiet_mode or self.split_quiet)
elif ffmpeg_available:
if self.split_mkvmerge:
logging.warning('mkvmerge not found, falling back to normal splitting'
' mode (split-video).')
split_video_ffmpeg(video_paths, scene_list, output_file_prefix,
video_name, arg_override=self.split_args,
hide_progress=self.quiet_mode,
suppress_output=self.quiet_mode or self.split_quiet)
else:
if not (mkvmerge_available or ffmpeg_available):
error_strs = ["ffmpeg/mkvmerge is required for split-video [-c/--copy]."]
else:
error_strs = [
"{EXTERN_TOOL} is required for split-video{EXTRA_ARGS}.".format(
EXTERN_TOOL='mkvmerge' if self.split_mkvmerge else 'ffmpeg',
EXTRA_ARGS=' -c/--copy' if self.split_mkvmerge else '')]
error_strs += ["Install one of the above tools to enable the split-video command."]
error_str = '\n'.join(error_strs)
logging.debug(error_str)
raise click.BadParameter(error_str, param_hint='split-video')
if scene_list:
logging.info('Video splitting completed, individual scenes written to disk.')