app-audio_video_recognize / subtitle_utils.py
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def time_convert(ms):
ms = int(ms)
tail = ms % 1000
s = ms // 1000
mi = s // 60
s = s % 60
h = mi // 60
mi = mi % 60
h = "00" if h == 0 else str(h)
mi = "00" if mi == 0 else str(mi)
s = "00" if s == 0 else str(s)
tail = str(tail)
if len(h) == 1: h = '0' + h
if len(mi) == 1: mi = '0' + mi
if len(s) == 1: s = '0' + s
return "{}:{}:{},{}".format(h, mi, s, tail)
class Text2SRT():
def __init__(self, text_seg, ts_list, offset=0):
self.token_list = [i for i in text_seg.split() if len(i)]
self.ts_list = ts_list
start, end = ts_list[0][0] - offset, ts_list[-1][1] - offset
self.start_sec, self.end_sec = start, end
self.start_time = time_convert(start)
self.end_time = time_convert(end)
def text(self):
res = ""
for word in self.token_list:
if '\u4e00' <= word <= '\u9fff':
res += word
else:
res += " " + word
return res
def len(self):
return len(self.token_list)
def srt(self, acc_ost=0.0):
return "{} --> {}\n{}\n".format(
time_convert(self.start_sec+acc_ost*1000),
time_convert(self.end_sec+acc_ost*1000),
self.text())
def time(self, acc_ost=0.0):
return (self.start_sec/1000+acc_ost, self.end_sec/1000+acc_ost)
def distribute_spk(sentence_list, sd_time_list):
sd_sentence_list = []
for d in sentence_list:
sentence_start = d['ts_list'][0][0]
sentence_end = d['ts_list'][-1][1]
sentence_spk = 0
max_overlap = 0
for sd_time in sd_time_list:
spk_st, spk_ed, spk = sd_time
spk_st = spk_st*1000
spk_ed = spk_ed*1000
overlap = max(
min(sentence_end, spk_ed) - max(sentence_start, spk_st), 0)
if overlap > max_overlap:
max_overlap = overlap
sentence_spk = spk
d['spk'] = sentence_spk
sd_sentence_list.append(d)
return sd_sentence_list
def generate_srt(sentence_list):
srt_total = ''
for i, d in enumerate(sentence_list):
t2s = Text2SRT(d['text_seg'], d['ts_list'])
if 'spk' in d:
srt_total += "{} spk{}\n{}".format(i, d['spk'], t2s.srt())
else:
srt_total += "{}\n{}".format(i, t2s.srt())
return srt_total
def generate_srt_clip(sentence_list, start, end, begin_index=0, time_acc_ost=0.0):
start, end = int(start * 1000), int(end * 1000)
srt_total = ''
cc = 1 + begin_index
subs = []
for i, d in enumerate(sentence_list):
if d['ts_list'][-1][1] <= start:
continue
if d['ts_list'][0][0] >= end:
break
# parts in between
if (d['ts_list'][-1][1] <= end and d['ts_list'][0][0] > start) or (d['ts_list'][-1][1] == end and d['ts_list'][0][0] == start):
t2s = Text2SRT(d['text_seg'], d['ts_list'], offset=start)
srt_total += "{}\n{}".format(cc, t2s.srt(time_acc_ost))
subs.append((t2s.time(time_acc_ost), t2s.text()))
cc += 1
continue
if d['ts_list'][0][0] <= start:
if not d['ts_list'][-1][1] > end:
for j, ts in enumerate(d['ts_list']):
if ts[1] > start:
break
_text = " ".join(d['text_seg'].split()[j:])
_ts = d['ts_list'][j:]
else:
for j, ts in enumerate(d['ts_list']):
if ts[1] > start:
_start = j
break
for j, ts in enumerate(d['ts_list']):
if ts[1] > end:
_end = j
break
_text = " ".join(d['text_seg'].split()[_start:_end])
_ts = d['ts_list'][_start:_end]
if len(ts):
t2s = Text2SRT(_text, _ts, offset=start)
srt_total += "{}\n{}".format(cc, t2s.srt(time_acc_ost))
subs.append((t2s.time(time_acc_ost), t2s.text()))
cc += 1
continue
if d['ts_list'][-1][1] > end:
for j, ts in enumerate(d['ts_list']):
if ts[1] > end:
break
_text = " ".join(d['text_seg'].split()[:j])
_ts = d['ts_list'][:j]
if len(_ts):
t2s = Text2SRT(_text, _ts, offset=start)
srt_total += "{}\n{}".format(cc, t2s.srt(time_acc_ost))
subs.append(
(t2s.time(time_acc_ost), t2s.text())
)
cc += 1
continue
return srt_total, subs, cc