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Fix shape mismatch error #5489

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Apr 1, 2022
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2 changes: 1 addition & 1 deletion test/test_video_reader.py
Original file line number Diff line number Diff line change
Expand Up @@ -1225,7 +1225,7 @@ def test_invalid_file(self):

@pytest.mark.parametrize("test_video", test_videos.keys())
@pytest.mark.parametrize("backend", ["video_reader", "pyav"])
@pytest.mark.parametrize("start_offset", [0, 1000])
@pytest.mark.parametrize("start_offset", [0, 500])
@pytest.mark.parametrize("end_offset", [3000, None])
def test_audio_present_pts(self, test_video, backend, start_offset, end_offset):
"""Test if audio frames are returned with pts unit."""
Expand Down
40 changes: 10 additions & 30 deletions torchvision/io/_video_opt.py
Original file line number Diff line number Diff line change
Expand Up @@ -423,16 +423,6 @@ def _probe_video_from_memory(
return info


def _convert_to_sec(
start_pts: Union[float, Fraction], end_pts: Union[float, Fraction], pts_unit: str, time_base: Fraction
) -> Tuple[Union[float, Fraction], Union[float, Fraction], str]:
if pts_unit == "pts":
start_pts = float(start_pts * time_base)
end_pts = float(end_pts * time_base)
pts_unit = "sec"
return start_pts, end_pts, pts_unit


def _read_video(
filename: str,
start_pts: Union[float, Fraction] = 0,
Expand All @@ -452,38 +442,28 @@ def _read_video(

has_video = info.has_video
has_audio = info.has_audio
video_pts_range = (0, -1)
video_timebase = default_timebase
audio_pts_range = (0, -1)
audio_timebase = default_timebase
time_base = default_timebase

if has_video:
video_timebase = Fraction(info.video_timebase.numerator, info.video_timebase.denominator)
time_base = video_timebase

if has_audio:
audio_timebase = Fraction(info.audio_timebase.numerator, info.audio_timebase.denominator)
time_base = time_base if time_base else audio_timebase

# video_timebase is the default time_base
start_pts_sec, end_pts_sec, pts_unit = _convert_to_sec(start_pts, end_pts, pts_unit, time_base)

def get_pts(time_base):
start_offset = start_pts_sec
end_offset = end_pts_sec
start_offset = start_pts
end_offset = end_pts
if pts_unit == "sec":
start_offset = int(math.floor(start_pts_sec * (1 / time_base)))
start_offset = int(math.floor(start_pts * (1 / time_base)))
if end_offset != float("inf"):
end_offset = int(math.ceil(end_pts_sec * (1 / time_base)))
end_offset = int(math.ceil(end_pts * (1 / time_base)))
if end_offset == float("inf"):
end_offset = -1
return start_offset, end_offset

video_pts_range = (0, -1)
video_timebase = default_timebase
if has_video:
video_timebase = Fraction(info.video_timebase.numerator, info.video_timebase.denominator)
video_pts_range = get_pts(video_timebase)

audio_pts_range = (0, -1)
audio_timebase = default_timebase
if has_audio:
audio_timebase = Fraction(info.audio_timebase.numerator, info.audio_timebase.denominator)
audio_pts_range = get_pts(audio_timebase)

vframes, aframes, info = _read_video_from_file(
Expand Down
7 changes: 0 additions & 7 deletions torchvision/io/video.py
Original file line number Diff line number Diff line change
Expand Up @@ -287,13 +287,6 @@ def read_video(
with av.open(filename, metadata_errors="ignore") as container:
if container.streams.audio:
audio_timebase = container.streams.audio[0].time_base
time_base = _video_opt.default_timebase
if container.streams.video:
time_base = container.streams.video[0].time_base
elif container.streams.audio:
time_base = container.streams.audio[0].time_base
# video_timebase is the default time_base
start_pts, end_pts, pts_unit = _video_opt._convert_to_sec(start_pts, end_pts, pts_unit, time_base)
if container.streams.video:
video_frames = _read_from_stream(
container,
Expand Down