`iBdZddlmZmZddlZddlmZmZm Z ddl m Z m Z m Z ddlmZmZmZmZmZmZmZmZmZmZddlmZmZmZdd lmZmZej e!Z"Gd d eZ#d gZ$dS) 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_videosc>eZdZdZdgZddejddddddf dedee e e fded ed e e e fd ed ee e ee fd ee e ee fdeddffd Zejddfdejde e e fdedee e efdee e efdejf dZedddddddddddejdf deedeedee e e fdeed eed ee d eed ee e ee fd ee e ee fdee e efdeededee e efdefdZddddddddddejdf deedeedee e e fdeed eed ee d eed ee e ee fd ee e ee fdeededee e efdejfdZxZS)InstructBlipVideoImageProcessora 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  tjdi| ||nddd}t|d}||_||_||_||_||_||_||nt|_ ||nt|_ | |_ dS)Ni)heightwidthTdefault_to_square)super__init__rrrr r!r"r#r r$r r%r&) selfrrr r!r"r#r$r%r&kwargs __class__s /home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/transformers/models/instructblipvideo/image_processing_instructblipvideo.pyr/z(InstructBlipVideoImageProcessor.__init__Ts ""6"""'ttc-J-JTT:::"   $,((2(>**DT&/&;,image data_formatinput_data_formatc t|}d|vsd|vr$td||d|df}t|f||||d|S)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 )rr r6r7)r ValueErrorkeysr )r0r5rr r6r7r1 output_sizes r3r z&InstructBlipVideoImageProcessor.resizepsFT"" 4  7$#6#6sfjfofofqfqsstt tH~tG}5   #/       r4imagesreturn_tensorsc  njnjnjnjnjnj  nj  nj njtdt|}t dt t|std  f d|D}t!d|i| }|S) 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. NFr+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%rrr zkInvalid input type. Must be of type PIL.Image.Image, numpy.ndarray, torch.Tensor, tf.Tensor or jax.ndarray.cB g|]} f d|DS)cR g|]#} |   $S)) r5rrr r!r"r#r$r%r&r6r7)_preprocess_image).0framer6r&r#r!rr$r%r7r r"r0rs r3 zIInstructBlipVideoImageProcessor.preprocess...sd   &&'%)#1!-)'#1 +&7'     r4r-)rBvideor6r&r#r!rr$r%r7r r"r0rs r3rDz>InstructBlipVideoImageProcessor.preprocess..s   $#               #      r4r)data tensor_type)rr r!r"r#r$r%r&rrrloggerwarningrrr9r)r0r<rrr r!r"r#r$r%r=r&r6r7videosrencoded_outputss` ```````` ``` r3 preprocessz*InstructBlipVideoImageProcessor.preprocesss@"+!6IIDN '388#-#9ZZt +9+E4K^'3'?||TEV #-#9ZZt !*!6IIDN +9+E4K^'ttTYTU;;;$V,, v   &!)%! F## :                 $ %   *'^\,JXfgggr4c | rt|}t|}|r)t|rtd| t |} |r||||| }|r|||| }|r|||| | }t|| | }|S)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.)r5rr r7)r5scaler7)r5meanstdr7)input_channel_dim) r rrrH warning_oncerr rescale normalizer ) r0r5rrr r!r"r#r$r%r&r6r7s r3rAz1InstructBlipVideoImageProcessor._preprocess_images  *"5))Eu%%  /%00    s     $ >u E E   pKKe$]nKooE  iLLuNVgLhhE  uNNZYbsNttE+E;Rcddd r4)__name__ __module__ __qualname____doc__model_input_namesrBICUBICboolrdictstrintrfloatlistr/npndarrayrr rFIRSTrrrrLrrA __classcell__)r2s@r3rr/s4  D(()-'9'A,3!:>9=#---tCH~&-% -  - c5j) --U5$u+#567-E%e"456-- ------@(:'A>BDH / / z/ 38n/ % / eC)9$9:; / $E#/?*?$@A /  / / / / d%$&&(,$()-15%)*.'+:>9=;?)-(8(>DHxx$xD>xtCH~& x -. x TN x!xtnxU5$u+#567xE%e"456x!sJ!78x!x&x$E#/?*?$@Ax xxx'&xz'+$()-15%)*.'+:>9=)-(8(>DH++ #+D>+tCH~& + -. + TN +!+tn+U5$u+#567+E%e"456+!+&+$E#/?*?$@A+ ++++++++r4r)%rXtypingrrnumpyraimage_processing_utilsrrrimage_transformsr r r image_utilsr r rrrrrrrrutilsrrr video_utilsrr get_loggerrUrHr__all__r-r4r3rnsx #"""""""UUUUUUUUUUSSSSSSSSSS                        JIIIIIIIII::::::::  H % % ZZZZZ&8ZZZz - -r4