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speed increase by (optionally) skipping (most) frames #48

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speed increase by (optionally) skipping (most) frames #48

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2 changes: 1 addition & 1 deletion videocr/api.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@

def get_subtitles(
video_path: str, lang='eng', time_start='0:00', time_end='',
conf_threshold=65, sim_threshold=90, use_fullframe=False) -> str:
conf_threshold=65, sim_threshold=90, use_fullframe=False, skip_frames=0) -> str:
utils.download_lang_data(lang)

v = Video(video_path)
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5 changes: 3 additions & 2 deletions videocr/video.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,12 +29,13 @@ def __init__(self, path: str):
self.height = int(v.get(cv2.CAP_PROP_FRAME_HEIGHT))

def run_ocr(self, lang: str, time_start: str, time_end: str,
conf_threshold: int, use_fullframe: bool) -> None:
conf_threshold: int, use_fullframe: bool, skip_frames: int) -> None:
self.lang = lang
self.use_fullframe = use_fullframe

ocr_start = utils.get_frame_index(time_start, self.fps) if time_start else 0
ocr_end = utils.get_frame_index(time_end, self.fps) if time_end else self.num_frames
skip_frames = max(1, int(self.fps / 2) if skip_frames is True else 0 if skip_frames is False else skip_frames)

if ocr_end < ocr_start:
raise ValueError('time_start is later than time_end')
Expand All @@ -43,8 +44,8 @@ def run_ocr(self, lang: str, time_start: str, time_end: str,
# get frames from ocr_start to ocr_end
with Capture(self.path) as v, multiprocessing.Pool() as pool:
v.set(cv2.CAP_PROP_POS_FRAMES, ocr_start)
frames = (v.read()[1] for _ in range(num_ocr_frames))

frames = (v.read()[1] for _ in range(0, num_ocr_frames, skip_frames))
# perform ocr to frames in parallel
it_ocr = pool.imap(self._image_to_data, frames, chunksize=10)
self.pred_frames = [
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