move util functions to utils.py
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9360ebdd40
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@ -1,5 +1,6 @@
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from urllib.request import urlopen
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import shutil
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import datetime
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from . import constants
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@ -19,3 +20,27 @@ def download_lang_data(lang: str):
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with urlopen(url) as res, open(filepath, 'w+b') as f:
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shutil.copyfileobj(res, f)
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# convert time string to frame index
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def get_frame_index(time_str: str, fps: float):
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t = time_str.split(':')
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t = list(map(float, t))
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if len(t) == 3:
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td = datetime.timedelta(hours=t[0], minutes=t[1], seconds=t[2])
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elif len(t) == 2:
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td = datetime.timedelta(minutes=t[0], seconds=t[1])
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else:
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raise ValueError(
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'Time data "{}" does not match format "%H:%M:%S"'.format(time_str))
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index = int(td.total_seconds() * fps)
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return index
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# convert frame index into SRT timestamp
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def get_srt_timestamp(frame_index: int, fps: float):
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td = datetime.timedelta(seconds=frame_index / fps)
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ms = td.microseconds // 1000
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m, s = divmod(td.seconds, 60)
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h, m = divmod(m, 60)
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return '{:02d}:{:02d}:{:02d},{:03d}'.format(h, m, s, ms)
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@ -1,10 +1,10 @@
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from __future__ import annotations
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from multiprocessing import Pool
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import datetime
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import multiprocessing
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import pytesseract
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import cv2
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from . import constants
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from . import utils
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from .models import PredictedFrame, PredictedSubtitle
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from .opencv_adapter import Capture
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@ -31,8 +31,8 @@ class Video:
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self.lang = lang
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self.use_fullframe = use_fullframe
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ocr_start = self._frame_index(time_start) if time_start else 0
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ocr_end = self._frame_index(time_end) if time_end else self.num_frames
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ocr_start = utils.get_frame_index(time_start, self.fps) if time_start else 0
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ocr_end = utils.get_frame_index(time_end, self.fps) if time_end else self.num_frames
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if ocr_end < ocr_start:
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raise ValueError('time_start is later than time_end')
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@ -47,30 +47,10 @@ class Video:
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it_ocr = pool.imap(self._image_to_data, frames, chunksize=10)
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self.pred_frames = [
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PredictedFrame(i + ocr_start, data, conf_threshold)
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for i, data in enumerate(it_ocr)]
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for i, data in enumerate(it_ocr)
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]
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v.release()
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# convert time str to frame index
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def _frame_index(self, time: str) -> int:
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t = time.split(':')
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t = list(map(float, t))
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if len(t) == 3:
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td = datetime.timedelta(hours=t[0], minutes=t[1], seconds=t[2])
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elif len(t) == 2:
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td = datetime.timedelta(minutes=t[0], seconds=t[1])
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else:
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raise ValueError(
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'time data "{}" does not match format "%H:%M:%S"'.format(time))
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index = int(td.total_seconds() * self.fps)
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if index > self.num_frames or index < 0:
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raise ValueError(
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'time data "{}" exceeds video duration'.format(time))
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return index
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def _single_frame_ocr(self, img) -> str:
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def _image_to_data(self, img) -> str:
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if not self.use_fullframe:
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# only use bottom half of the frame by default
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img = img[self.height // 2:, :]
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@ -82,8 +62,8 @@ class Video:
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return ''.join(
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'{}\n{} --> {}\n{}\n\n'.format(
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i,
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self._srt_timestamp(sub.index_start),
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self._srt_timestamp(sub.index_end),
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utils.get_srt_timestamp(sub.index_start, self.fps),
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utils.get_srt_timestamp(sub.index_end, self.fps),
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sub.text)
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for i, sub in enumerate(self.pred_subs))
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@ -133,10 +113,3 @@ class Video:
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sub = PredictedSubtitle(ls.frames + sub.frames, sub.sim_threshold)
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self.pred_subs.append(sub)
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def _srt_timestamp(self, frame_index: int) -> str:
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td = datetime.timedelta(seconds=frame_index / self.fps)
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ms = td.microseconds // 1000
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m, s = divmod(td.seconds, 60)
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h, m = divmod(m, 60)
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return '{:02d}:{:02d}:{:02d},{:03d}'.format(h, m, s, ms)
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