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junjie.jiang 2 years ago
parent
commit
3746a13890
  1. 50
      cpu_decode.py
  2. 155
      video_decoder.py
  3. 10
      video_decoder.yaml

50
cpu_decode.py

@ -0,0 +1,50 @@
import math
import logging
import av
from towhee.types.video_frame import VideoFrame
logger = logging.getLogger()
class PyAVDecode:
def __init__(self, video_path, start_time=None, time_step=None) -> None:
self._container = av.open(video_path)
self._stream = self._container.streams.video[0]
self._start_time = start_time if start_time is not None else 0
self._time_step = time_step
def close(self):
self._container.close()
def time_step_decode(self):
ts = self._start_time
is_end = False
while not is_end:
is_end = True
offset = int(math.floor(ts / self._stream.time_base))
self._container.seek(offset, stream=self._stream)
for f in self._container.decode(self._stream):
if f.time < ts:
continue
yield self.av_frame_to_video_frame(f)
is_end = False
break
ts += self._time_step
def av_frame_to_video_frame(self, frame):
timestamp = int(round(frame.time * 1000))
ndarray = frame.to_ndarray(format='rgb24')
img = VideoFrame(ndarray, 'RGB', timestamp, frame.key_frame)
return img
def decode(self):
if self._start_time > 0:
offset = int(math.floor(self._start_time / self._stream.time_base))
self._container.seek(offset, any_frame=False, backward=True, stream=self._stream)
for frame in self._container.decode(self._stream):
if frame.time < self._start_time:
continue
yield self.av_frame_to_video_frame(frame)

155
video_decoder.py

@ -1,16 +1,9 @@
from typing import Generator, NamedTuple
from functools import partial, reduce
import math
import logging
import av
import numpy as np
from towhee.types.video_frame import VideoFrame
from towhee.operator.base import PyOperator
from cpu_decode import PyAVDecode
logger = logging.getLogger()
@ -29,56 +22,22 @@ class VideoDecoder(PyOperator):
def __init__(self, start_time=None, end_time=None, sample_type=None, args=None) -> None:
super().__init__()
self._start_time = start_time if start_time is not None else 0
self._end_time = end_time
self._sample_type = sample_type
self._end_time = end_time if end_time is not None else None
self._end_time_ms = end_time * 1000 if end_time is not None else None
self._sample_type = sample_type.lower() if sample_type else None
self._args = args if args is not None else {}
def get_sample(self, stream, duration):
if self._sample_type is None:
return self._no_sample
elif self._sample_type.lower() == SAMPLE_TYPE.UNIFORM_TEMPORAL_SUBSAMPLE:
end_time = self._end_time if self._end_time is not None and self._end_time <= duration else duration
start_time = self._start_time if self._start_time is not None else 0
nums = int(stream.average_rate * (end_time - start_time))
return partial(self._uniform_temporal_subsample, total_frames=nums)
elif self._sample_type.lower() == SAMPLE_TYPE.TIME_STEP_SAMPLE:
start_time = self._start_time if self._start_time is not None else 0
end_time = self._end_time if self._end_time is not None and self._end_time <= duration else duration
return partial(self._time_step_sample, start_time=start_time, end_time=end_time)
else:
raise RuntimeError('Unkown sample type: %s' % self._sample_type)
def decode(self, video_path: str):
yield from PyAVDecode(video_path, self._start_time).decode()
def _no_sample(self, frame_iter):
if self._end_time is None:
yield from frame_iter
else:
for frame in frame_iter:
frame.time < self._end_time
yield frame
def _time_step_sample(self, frame_iter, start_time, end_time):
time_step = self._args.get('time_step')
if time_step is None:
raise RuntimeError('time_step_sample sample lost args time_step')
time_index = start_time
for frame in frame_iter:
if time_index >= end_time:
break
if frame.time >= time_index:
time_index += time_step
yield frame
def time_step_decode(self, video_path, time_step):
yield from PyAVDecode(video_path, self._start_time, time_step).time_step_decode()
def _uniform_temporal_subsample(self, frame_iter, total_frames):
num_samples = self._args.get('num_samples')
if num_samples is None:
raise RuntimeError('uniform_temporal_subsample lost args num_samples')
def _uniform_temporal_subsample(self, frames, num_samples, total_frames):
indexs = np.linspace(0, total_frames - 1, num_samples).astype('int')
cur_index = 0
count = 0
for frame in frame_iter:
for frame in frames:
if cur_index >= len(indexs):
return
@ -86,73 +45,33 @@ class VideoDecoder(PyOperator):
cur_index += 1
yield frame
count += 1
@staticmethod
def _decdoe(video, container, start_time):
if start_time is not None:
start_offset = int(math.floor(start_time * (1 / video.time_base)))
else:
start_offset = 0
seek_offset = start_offset
seek_offset = max(seek_offset - 1, 0)
try:
container.seek(seek_offset, any_frame=False, backward=True, stream=video)
except av.AVError as e:
logger.error('Seek to start_time: %s sec failed, the offset is %s, errors: %s' % (start_time, seek_offset, str(e)))
raise RuntimeError from e
for frame in container.decode(video):
if frame.time < start_time:
continue
yield frame
@staticmethod
def get_video_duration(video):
if video.duration is not None:
return float(video.duration * video.time_base)
elif video.metadata.get('DURATION') is not None:
time_str = video.metadata['DURATION']
return reduce(lambda x, y: float(x) * 60 + float(y), time_str.split(':'))
else:
return None
def __call__(self, video_path: str) -> Generator:
with av.open(video_path) as container:
stream = container.streams.video[0]
duration = VideoDecoder.get_video_duration(stream)
if duration is None:
duration = float(container.duration) / 1000000
image_format = 'RGB'
frame_gen = VideoDecoder._decdoe(stream, container, self._start_time)
sample_function = self.get_sample(stream, duration)
for frame in sample_function(frame_gen):
timestamp = int(frame.time * 1000)
ndarray = frame.to_ndarray(format='rgb24')
img = VideoFrame(ndarray, image_format, timestamp, frame.key_frame)
yield img
# if __name__ == '__main__':
# video_path = "/home/junjie.jiangjjj/workspace/video/[The Rock] [1996] [Trailer] [#2]-16-l-rO5B64.mkv"
# video_path1 = "/home/junjie.jiangjjj/workspace/video/'Eagle Eye' Trailer (2008)-_wkqo_Rd3_Q.mp4"
# video_path2 = "/home/junjie.jiangjjj/workspace/video/2001 - A Space Odyssey - Trailer [1968] HD-Z2UWOeBcsJI.webm"
# # video_path3 = "/home/zhangchen/zhangchen_workspace/dataset/MSRVTT/msrvtt_data/MSRVTT_Videos/video9991.mp4"
# video_path3 = "/home/junjie.jiangjjj/e2adc784b83446ae775f698b9d17c9fd392b2f75.flv"
# def d(video_path):
# d = VideoDecoder(10, 17, 'time_step_sample', {'time_step': 1})
# fs = d(video_path)
# for f in fs:
# print(f.mode, f.key_frame, f.timestamp)
# d(video_path)
# # print('#' * 100)
# # with av.open(video_path) as container:
# # print(container.duration)
# # stream = container.streams.video[0]
# # print(stream.time_base)
def _filter(self, frames):
for f in frames:
if self._end_time_ms and f.timestamp > self._end_time_ms:
break
yield f
def frame_nums(self, video_path):
with av.open(video_path) as c:
video = c.streams.video[0]
start = self._start_time if self._start_time is not None else 0
duration = c.duration / 1000000
end = self._end_time if self._end_time and self._end_time <= duration else duration
return int(round((end - start) * video.average_rate))
def __call__(self, video_path: str):
if self._sample_type is None:
yield from self._filter(self.decode(video_path))
elif self._sample_type == SAMPLE_TYPE.TIME_STEP_SAMPLE:
time_step = self._args.get('time_step')
if time_step is None:
raise RuntimeError('time_step_sample sample lost args time_step')
yield from self._filter(self.time_step_decode(video_path, time_step))
elif self._sample_type == SAMPLE_TYPE.UNIFORM_TEMPORAL_SUBSAMPLE:
num_samples = self._args.get('num_samples')
if num_samples is None:
raise RuntimeError('uniform_temporal_subsample lost args num_samples')
yield from self._uniform_temporal_subsample(self.decode(video_path), num_samples, self.frame_nums(video_path))
else:
raise RuntimeError('Unkown sample type, only supports: [%s|%s]' % (SAMPLE_TYPE.TIME_STEP_SAMPLE, SAMPLE_TYPE.UNIFORM_TEMPORAL_SUBSAMPLE))

10
video_decoder.yaml

@ -1,10 +0,0 @@
name: 'video-decoder'
labels:
operator: 'towhee/video-decoder'
init:
key_frame: bool
call:
input:
video_path: str
output:
image: Image
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