cCiBSrSSKJrJr SSKrSSKJrJrJ r SSK J r J r J r SSKJrJrJrJrJrJrJrJrJrJr SSKJrJrJr SS KJrJr \R@"\!5r""S S \5r#S /r$g) z{ Image processor class for InstructBLIPVideo. Largely copy of Blip2Processor with addition of a video processing abilities )OptionalUnionN)BaseImageProcessor BatchFeature get_size_dict)convert_to_rgbresizeto_channel_dimension_format) OPENAI_CLIP_MEANOPENAI_CLIP_STDChannelDimension ImageInputPILImageResamplinginfer_channel_dimension_formatis_scaled_imageto_numpy_array valid_imagesvalidate_preprocess_arguments) TensorTypefilter_out_non_signature_kwargslogging) VideoInputmake_batched_videoscf^\rSrSrSrS/rSS\RSSSSSS4 S\S\ \ \ \ 4S \S \S \ \ \4S \S \ \ \\\4S\ \ \\\4S\SS4U4Sjjjr\RSS4S\R$S\ \ \ 4S \S\ \ \ \4S\ \ \ \4S\R$4 Sjjr\"5SSSSSSSSSSS\R,S4 S\ \S\ \S\ \ \ \ 4S \ \S \ \S \ \S \ \S \ \ \\\4S\ \ \\\4S\ \ \ \4S\ \S\S\ \ \ \4S\4Sjj5rSSSSSSSSSS\R,S4 S\ \S\ \S\ \ \ \ 4S \ \S \ \S \ \S \ \S \ \ \\\4S\ \ \\\4S\ \S\S\ \ \ \4S\R$4SjjrSrU=r$)InstructBlipVideoImageProcessor/ah Constructs a InstructBLIPVideo image processor. Args: do_resize (`bool`, *optional*, defaults to `True`): Whether to resize the image's (height, width) dimensions to the specified `size`. Can be overridden by the `do_resize` parameter in the `preprocess` method. size (`dict`, *optional*, defaults to `{"height": 384, "width": 384}`): Size of the output image after resizing. Can be overridden by the `size` parameter in the `preprocess` method. resample (`PILImageResampling`, *optional*, defaults to `Resampling.BICUBIC`): Resampling filter to use if resizing the image. Only has an effect if `do_resize` is set to `True`. Can be overridden by the `resample` parameter in the `preprocess` method. do_rescale (`bool`, *optional*, defaults to `True`): Whether to rescale the image by the specified scale `rescale_factor`. Can be overridden by the `do_rescale` parameter in the `preprocess` method. rescale_factor (`int` or `float`, *optional*, defaults to `1/255`): Scale factor to use if rescaling the image. Only has an effect if `do_rescale` is set to `True`. Can be overridden by the `rescale_factor` parameter in the `preprocess` method. do_normalize (`bool`, *optional*, defaults to `True`): Whether to normalize the image. Can be overridden by the `do_normalize` parameter in the `preprocess` method. Can be overridden by the `do_normalize` parameter in the `preprocess` method. image_mean (`float` or `list[float]`, *optional*, defaults to `IMAGENET_STANDARD_MEAN`): Mean to use if normalizing the image. This is a float or list of floats the length of the number of channels in the image. Can be overridden by the `image_mean` parameter in the `preprocess` method. Can be overridden by the `image_mean` parameter in the `preprocess` method. image_std (`float` or `list[float]`, *optional*, defaults to `IMAGENET_STANDARD_STD`): Standard deviation to use if normalizing the image. This is a float or list of floats the length of the number of channels in the image. Can be overridden by the `image_std` parameter in the `preprocess` method. Can be overridden by the `image_std` parameter in the `preprocess` method. do_convert_rgb (`bool`, *optional*, defaults to `True`): Whether to convert the image to RGB. pixel_valuesTNgp? do_resizesizeresample do_rescalerescale_factor do_normalize image_mean image_stddo_convert_rgbreturnc  >[T U]"S0U D6 UbUOSSS.n[USS9nXlX lX0lX@lXPlX`lUbUO[Ul UbUO[Ul Xl g)Ni)heightwidthTdefault_to_square)super__init__rrr r!r"r#r$r r%r r&r') selfrr r!r"r#r$r%r&r'kwargs __class__s ڂ/home/james-whalen/.local/lib/python3.13/site-packages/transformers/models/instructblipvideo/image_processing_instructblipvideo.pyr0(InstructBlipVideoImageProcessor.__init__Tsu "6"'tc-JTT:"  $,((2(>*DT&/&;,image data_formatinput_data_formatc [U5nSU;dSU;a[SUR535eUSUS4n[U4UUUUS.UD6$)a Resize an image to `(size["height"], size["width"])`. Args: image (`np.ndarray`): Image to resize. size (`dict[str, int]`): Dictionary in the format `{"height": int, "width": int}` specifying the size of the output image. resample (`PILImageResampling`, *optional*, defaults to `PILImageResampling.BICUBIC`): `PILImageResampling` filter to use when resizing the image e.g. `PILImageResampling.BICUBIC`. data_format (`ChannelDimension` or `str`, *optional*): The channel dimension format for the output image. If unset, the channel dimension format of the input image is used. Can be one of: - `"channels_first"` or `ChannelDimension.FIRST`: image in (num_channels, height, width) format. - `"channels_last"` or `ChannelDimension.LAST`: image in (height, width, num_channels) format. - `"none"` or `ChannelDimension.NONE`: image in (height, width) format. input_data_format (`ChannelDimension` or `str`, *optional*): The channel dimension format for the input image. If unset, the channel dimension format is inferred from the input image. Can be one of: - `"channels_first"` or `ChannelDimension.FIRST`: image in (num_channels, height, width) format. - `"channels_last"` or `ChannelDimension.LAST`: image in (height, width, num_channels) format. - `"none"` or `ChannelDimension.NONE`: image in (height, width) format. Returns: `np.ndarray`: The resized image. r*r+zFThe `size` dictionary must contain the keys `height` and `width`. Got )r r!r8r9)r ValueErrorkeysr )r1r7r r!r8r9r2 output_sizes r4r &InstructBlipVideoImageProcessor.resizepsyFT" 4 7$#6efjfofofqerst tH~tG}5   #/     r6imagesreturn_tensorscUbUO URnUbUO URnUbUO URnUbUO URnUbUO URnUbUO UR nU bU O UR n U bU O URn UbUO URn[USS9n[U5n[RS5 [UUUUU UUUS9 [U5(d [S5eUVVs/sH.nUVs/sHnUR!UUUUUUUUU U U U S9 PM snPM0 nnn[#SU0U S9nU$s snfs snnf) a% Preprocess a video or batch of images/videos. Args: videos (`VideoInput`): Video frames to preprocess. Expects a single or batch of videos as a list of frames with pixel values ranging from 0 to 255. If passing in video with pixel values between 0 and 1, set `do_rescale=False`. do_resize (`bool`, *optional*, defaults to `self.do_resize`): Whether to resize the video. size (`dict[str, int]`, *optional*, defaults to `self.size`): Controls the size of the video after `resize`. The shortest edge of the image is resized to `size["shortest_edge"]` whilst preserving the aspect ratio. If the longest edge of this resized image is > `int(size["shortest_edge"] * (1333 / 800))`, then the image is resized again to make the longest edge equal to `int(size["shortest_edge"] * (1333 / 800))`. resample (`PILImageResampling`, *optional*, defaults to `self.resample`): Resampling filter to use if resizing the video. Only has an effect if `do_resize` is set to `True`. do_rescale (`bool`, *optional*, defaults to `self.do_rescale`): Whether to rescale the video values between [0 - 1]. rescale_factor (`float`, *optional*, defaults to `self.rescale_factor`): Rescale factor to rescale the video by if `do_rescale` is set to `True`. do_normalize (`bool`, *optional*, defaults to `self.do_normalize`): Whether to normalize the video. image_mean (`float` or `list[float]`, *optional*, defaults to `self.image_mean`): Image mean to normalize the video by if `do_normalize` is set to `True`. image_std (`float` or `list[float]`, *optional*, defaults to `self.image_std`): Image standard deviation to normalize the video by if `do_normalize` is set to `True`. do_convert_rgb (`bool`, *optional*, defaults to `self.do_convert_rgb`): Whether to convert the image to RGB. return_tensors (`str` or `TensorType`, *optional*): The type of tensors to return. Can be one of: - Unset: Return a list of `np.ndarray`. - `TensorType.TENSORFLOW` or `'tf'`: Return a batch of type `tf.Tensor`. - `TensorType.PYTORCH` or `'pt'`: Return a batch of type `torch.Tensor`. - `TensorType.NUMPY` or `'np'`: Return a batch of type `np.ndarray`. - `TensorType.JAX` or `'jax'`: Return a batch of type `jax.numpy.ndarray`. data_format (`ChannelDimension` or `str`, *optional*, defaults to `ChannelDimension.FIRST`): The channel dimension format for the output image. Can be one of: - `"channels_first"` or `ChannelDimension.FIRST`: image in (num_channels, height, width) format. - `"channels_last"` or `ChannelDimension.LAST`: image in (height, width, num_channels) format. - Unset: Use the channel dimension format of the input image. input_data_format (`ChannelDimension` or `str`, *optional*): The channel dimension format for the input image. If unset, the channel dimension format is inferred from the input image. Can be one of: - `"channels_first"` or `ChannelDimension.FIRST`: image in (num_channels, height, width) format. - `"channels_last"` or `ChannelDimension.LAST`: image in (height, width, num_channels) format. - `"none"` or `ChannelDimension.NONE`: image in (height, width) format. Fr,z`InstructBlipVideoImageProcessor` is deprecated and will be removed in v5.0. We recommend to load an instance of `InstructBlipVideoVideoProcessor` to process videos for the model. )r"r#r$r%r&rr r!zkInvalid input type. Must be of type PIL.Image.Image, numpy.ndarray, torch.Tensor, tf.Tensor or jax.ndarray.) r7rr r!r"r#r$r%r&r'r8r9r)data tensor_type)rr!r"r#r$r%r&r'r rrloggerwarningrrr;_preprocess_imager)r1r?rr r!r"r#r$r%r&r@r'r8r9videosvideoframerencoded_outputss r4 preprocess*InstructBlipVideoImageProcessor.preprocesss@"+!6IDNN '38#-#9Zt +9+E4K^K^'3'?|TEVEV #-#9Zt !*!6IDNN +9+E4K^K^'tTYYTU;$V, v &!)%! F##: . % $ # #E&&'%)#1!-)'#1 +&7' # " %  *'^\,JXfg+  s4 D?>$D: "D?:D?c RU (a [U5n[U5nU(a%[U5(a[R S5 U c [ U5n U(aUR XXLS9nU(aURXU S9nU(aURXXS9n[XU S9nU$)NzIt looks like you are trying to rescale already rescaled video frames. If the input images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again.)r7r r!r9)r7scaler9)r7meanstdr9)input_channel_dim) r rrrD warning_oncerr rescale normalizer ) r1r7rr r!r"r#r$r%r&r'r8r9s r4rF1InstructBlipVideoImageProcessor._preprocess_images "5)Eu% /%00   s   $ >u E  KKeKoE LLuVgLhE NNYNtE+ERcd r6) r'r$r"rr%r&r!r#r )__name__ __module__ __qualname____firstlineno____doc__model_input_namesrBICUBICboolrdictstrintrfloatlistr0npndarrayrr rFIRSTrrrrKrrF__static_attributes__ __classcell__)r3s@r4rr/s D(()-'9'A'A,3!:>9=#--tCH~&-% -  - c5j) --U5$u+#567-E%e"456-- --@(:'A'A>BDH / zz/ 38n/ % / eC)9$9:; / $E#/?*?$@A /  / d%&(,$()-15%)*.'+:>9=;?)-(8(>(>DHx$xD>xtCH~& x -. x TN x!xtnxU5$u+#567xE%e"456x!sJ!78x!x&x$E#/?*?$@Ax x'xz'+$()-15%)*.'+:>9=)-(8(>(>DH+ #+D>+tCH~& + -. + TN +!+tn+U5$u+#567+E%e"456+!+&+$E#/?*?$@A+ ++r6r)%rZtypingrrnumpyrcimage_processing_utilsrrrimage_transformsr r r image_utilsr r rrrrrrrrutilsrrr video_utilsrr get_loggerrVrDr__all__r.r6r4rqse #UUSS   JI:   H % Z&8Zz - -r6