qi-dZddlmZmZmZddlmZmZmZddl m Z m Z m Z m Z mZmZmZmZmZmZmZddlmZmZmZmZej4eZerddlZGdd eZd gZy) z!Image processor class for SigLIP.)BaseImageProcessor BatchFeature get_size_dict)convert_to_rgbresizeto_channel_dimension_format) IMAGENET_STANDARD_MEANIMAGENET_STANDARD_STDChannelDimension ImageInputPILImageResamplinginfer_channel_dimension_formatis_scaled_imagemake_flat_list_of_imagesto_numpy_array valid_imagesvalidate_preprocess_arguments) TensorTypefilter_out_non_signature_kwargsis_vision_availableloggingNceZdZdZdgZddej ddddddf dedee e fdzded ed e e zd ed e e e zdzd e e e zdzdedzddffd Z edddddddddej ddf dededzdee e fdzdedzd edzd e dzd edzd e e e zdzd e e e zdzde ezdzdedzde ezdzdedzdej(j(fdZxZS)SiglipImageProcessora Constructs a SigLIP 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 `do_resize` in the `preprocess` method. size (`dict[str, int]` *optional*, defaults to `{"height": 224, "width": 224}`): Size of the image after resizing. Can be overridden by `size` in the `preprocess` method. resample (`PILImageResampling`, *optional*, defaults to `Resampling.BICUBIC`): Resampling filter to use if resizing the image. Can be overridden by `resample` 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 `do_rescale` in the `preprocess` method. rescale_factor (`int` or `float`, *optional*, defaults to `1/255`): Scale factor to use if rescaling the image. Can be overridden by `rescale_factor` in the `preprocess` method. do_normalize (`bool`, *optional*, defaults to `True`): Whether to normalize the image by the specified mean and standard deviation. Can be overridden by `do_normalize` in the `preprocess` method. image_mean (`float` or `list[float]`, *optional*, defaults to `[0.5, 0.5, 0.5]`): 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. image_std (`float` or `list[float]`, *optional*, defaults to `[0.5, 0.5, 0.5]`): 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 |di| ||nddd}||nt}||nt}||_||_||_||_||_||_ ||_ ||_ | |_ y)N)heightwidth) super__init__r r rrrrr r!r"r#r$) selfrrrrr r!r"r#r$kwargs __class__s d/opt/pipecat/venv/lib/python3.12/site-packages/transformers/models/siglip/image_processing_siglip.pyr,zSiglipImageProcessor.__init__Os "6"'tc-J#-#9Z?U !*!6Is r0 preprocesszSiglipImageProcessor.preprocessksvz"+!6IDNN 'tTYYTfN'38#-#9Zt +9+E4K^K^'3'?|TEVEV #-#9Zt !*!6IDNN +9+E4K^K^""6*)&1F#rs s%!)%!  9?@nU+@F@6<vay I   NDMEF$U&%8_pqF $ 5Rc dF $U^opF ou ej '{N_ `  '>BBOA=    s$*G(G-G2;G7G<H)__name__ __module__ __qualname____doc__model_input_namesr BICUBICbooldictstrintfloatlistr,rr FIRSTr rPILImagerF __classcell__)r/s@r0rr-s>((&*'9'A'A&-!1504&*--38nt#-% -  - e --DK'$.-4;&--t - -8%&"&&*.2"&'+$(150426/?/E/E;?&*~C~C$;~C38nt# ~C %t+ ~C 4K ~C ~CTk~CDK'$.~C4;&-~Cj(4/~C&,~C!11D8~Ct ~C ~C'~Cr1r) rJimage_processing_utilsrrrimage_transformsrrr image_utilsr r r r r rrrrrrutilsrrrr get_loggerrGrBrTr__all__r*r1r0r]sr(UU    _^   H %}C-}C@ " "r1