cCi4/SrSSKJrJr SSKJrJrJr SSKJ r J r J r SSK J r JrJrJrJrJrJrJrJrJrJr SSKJrJrJrJr \R:"\5r\"5(aSSK r "S S \5r!S /r"g) z!Image processor class for SigLIP.)OptionalUnion)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_availableloggingNc^\rSrSrSrS/rSS\RSSSSSS4 S\S\ \ \ \ 4S \S \S \ \ \4S \S \ \ \\\4S\ \ \\\4S\ \SS4U4Sjjjr\"5SSSSSSSSS\R&SS4 S\S\ \S\ \ \ \ 4S \ \S \ \S \ \S \ \S \ \ \\\4S\ \ \\\4S\ \ \ \4S\ \S\ \ \ \4S\ \S\R.R.4Sjj5rSrU=r$)SiglipImageProcessor0a 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 U]"S0U D6 UbUOSSS.nUbUO[nUbUO[nXlX lX0lX@lXPlX`l Xpl Xl Xl g)N)heightwidth) super__init__r r rr r!r"r#r$r%r&r') selfrr r!r"r#r$r%r&r'kwargs __class__s l/home/james-whalen/.local/lib/python3.13/site-packages/transformers/models/siglip/image_processing_siglip.pyr/SiglipImageProcessor.__init__Rsp "6"'tc-J#-#9Z?U !*!6Ivay I   NDMEF$#EU%8q#  $#E 5Rc d#  $#EUp#  ou ntej 'N_ `nt  '>BBOA=    s$7H H>H!HH (H%) r'r$r"rr%r&r!r#r )__name__ __module__ __qualname____firstlineno____doc__model_input_namesrBICUBICboolrdictstrintrfloatlistr/rrFIRSTrrPILImagerJ__static_attributes__ __classcell__)r2s@r3rr0sH>(()-'9'A'A,3!:>9=)---tCH~&-% -  - c5j) --U5$u+#567-E%e"456-!- --8%&%))-15%)*.'+:>9=;?2B2H2HDH)-CCCCD>CCtCH~& CC -. CC TN CC!CCtnCCU5$u+#567CCE%e"456CC!sJ!78CC./CC$E#/?*?$@ACC!CC CC'CCr5r)#rPtypingrrimage_processing_utilsrrrimage_transformsr r r image_utilsr r rrrrrrrrrutilsrrrr get_loggerrLrFrZr__all__r-r5r3resv("UU    _^   H %BC-BCJ " "r5