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53 lines (43 loc) · 1.59 KB
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"""Read YUV video to npy frames"""
#
# Copyright (c) 2022 Vladislav Tsendrovskii
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3 of the License.
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
# See the GNU General Public License for more details.
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
#
import numpy as np
import vstarstack.library.data
def readyuv(fname: str, width: int, height: int):
"""Read YUV file"""
frame_len = int(width*height*2)
shape = (int(height*2), width)
with open(fname, "rb") as files:
tags = {
"depth": 8,
}
params = {
"w": width,
"h": height,
}
frame_id = 0
while True:
frame = files.read(frame_len)
if not frame:
break
yuv = np.frombuffer(frame, dtype=np.uint8)
yuv = yuv.reshape(shape)
print(f"\tprocessing frame {frame_id}")
dataframe = vstarstack.library.data.DataFrame(params, tags)
exptime = 1
dataframe.add_channel(yuv, "raw", encoded=True)
dataframe.add_parameter("yuv422", "format")
dataframe.add_parameter(exptime, "weight")
yield dataframe
frame_id += 1