# coding=utf-8
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#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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"""Video processor class for LLaVa-Onevision."""

from ...image_utils import OPENAI_CLIP_MEAN, OPENAI_CLIP_STD, PILImageResampling
from ...processing_utils import Unpack, VideosKwargs
from ...video_processing_utils import BaseVideoProcessor


class LlavaOnevisionFastVideoProcessorInitKwargs(VideosKwargs): ...


class LlavaOnevisionVideoProcessor(BaseVideoProcessor):
    resample = PILImageResampling.BICUBIC
    image_mean = OPENAI_CLIP_MEAN
    image_std = OPENAI_CLIP_STD
    size = {"height": 384, "width": 384}
    rescale_factor = 1 / 255
    default_to_square = False
    crop_size = None
    do_resize = True
    do_center_crop = None
    do_rescale = True
    do_normalize = True
    do_convert_rgb = True
    do_sample_frames = False  # Set to False for BC, recommended to set `True` in new models
    valid_kwargs = LlavaOnevisionFastVideoProcessorInitKwargs
    model_input_names = ["pixel_values_videos"]

    def __init__(self, **kwargs: Unpack[LlavaOnevisionFastVideoProcessorInitKwargs]):
        super().__init__(**kwargs)


__all__ = ["LlavaOnevisionVideoProcessor"]
