nvidia.dali.fn.video_reader_resize#

nvidia.dali.fn.video_reader_resize(
*,
sequence_length,
additional_decode_surfaces=2,
antialias=True,
bytes_per_sample_hint=[0],
channels=3,
dont_use_mmap=False,
dtype=DALIDataType.UINT8,
enable_frame_num=False,
enable_timestamps=False,
file_list='',
file_list_frame_num=False,
file_list_include_preceding_frame=False,
file_root='',
filenames=[],
image_type=DALIImageType.RGB,
initial_fill=1024,
interp_type=DALIInterpType.INTERP_LINEAR,
labels=None,
lazy_init=False,
mag_filter=DALIInterpType.INTERP_LINEAR,
max_size=None,
min_filter=DALIInterpType.INTERP_LINEAR,
minibatch_size=32,
mode='default',
normalized=False,
num_shards=1,
pad_last_batch=False,
pad_sequences=False,
prefetch_queue_depth=1,
preserve=False,
random_shuffle=False,
read_ahead=False,
resize_longer=0.0,
resize_shorter=0.0,
resize_x=0.0,
resize_y=0.0,
resize_z=0.0,
roi_end=None,
roi_relative=False,
roi_start=None,
seed=-1,
shard_id=0,
size=None,
skip_cached_images=False,
skip_vfr_check=False,
step=-1,
stick_to_shard=False,
stride=1,
subpixel_scale=True,
temp_buffer_hint=0,
tensor_init_bytes=1048576,
device=None,
name=None,
)#

Warning

This operator is now deprecated. Use readers.video_resize() instead.

In DALI 1.0 all readers were moved into a dedicated readers submodule and renamed to follow a common pattern. This is a placeholder operator with identical functionality to allow for backward compatibility.

Legacy alias for readers.video_resize().