
    sg.                         d Z ddlmZmZmZmZ ddlmZmZm	Z	 ddl
mZmZmZ ddlmZmZmZmZmZmZmZmZmZmZmZ ddlmZmZmZmZ  ej>                  e       Z! e       rddl"Z" G d	 d
e      Z#y)z!Image processor class for SigLIP.    )DictListOptionalUnion   )BaseImageProcessorBatchFeatureget_size_dict)convert_to_rgbresizeto_channel_dimension_format)IMAGENET_STANDARD_MEANIMAGENET_STANDARD_STDChannelDimension
ImageInputPILImageResamplinginfer_channel_dimension_formatis_scaled_imagemake_list_of_imagesto_numpy_arrayvalid_imagesvalidate_preprocess_arguments)
TensorTypefilter_out_non_signature_kwargsis_vision_availableloggingNc                       e Zd ZdZdgZddej                  ddddddf	dedee	e
f   ded	ed
ee
ef   dedeeeee   f      deeeee   f      deddf fdZ e       dddddddddej$                  ddfdededee	e
f   ded	ed
ededeeeee   f      deeeee   f      deee	ef      dee   deee	ef      dedej,                  j,                  fd       Z xZS )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_valuesTNgp?	do_resizesizeresample
do_rescalerescale_factordo_normalize
image_mean	image_stddo_convert_rgbreturnc
                     t        |   di |
 ||nddd}||nt        }||nt        }|| _        || _        || _        || _        || _        || _	        || _
        || _        |	| _        y )N   )heightwidth )super__init__r   r   r    r!   r"   r#   r$   r%   r&   r'   r(   )selfr    r!   r"   r#   r$   r%   r&   r'   r(   kwargs	__class__s              e/var/www/html/venv/lib/python3.12/site-packages/transformers/models/siglip/image_processing_siglip.pyr0   zSiglipImageProcessor.__init__R   s     	"6"'tc-J#-#9Z?U
!*!6I<Q	"	 $,($",    imagesreturn_tensorsdata_formatinput_data_formatc           
         ||n| j                   }||n| j                  }t        |dd      }||n| j                  }||n| j                  }||n| j
                  }||n| j                  }||n| j                  }|	|	n| j                  }	||n| j                  }t        |      }t        |      st        d      t        |||||	|||       |r|D cg c]  }t        |       }}|D cg c]  }t        |       }}t!        |d         r|rt"        j%                  d       |t'        |d         }|r(|d   |d	   }}|D cg c]  }t)        |||f||
       }}|r!|D cg c]  }| j+                  |||       }}|r"|D cg c]  }| j-                  |||	|       }}|D cg c]  }t/        |||       }}d|i}t1        ||
      S c c}w c c}w c c}w c c}w c c}w c c}w )a:  
        Preprocess an image or batch of images.

        Args:
            images (`ImageInput`):
                Image to preprocess. Expects a single or batch of images with pixel values ranging from 0 to 255. If
                passing in images with pixel values between 0 and 1, set `do_rescale=False`.
            do_resize (`bool`, *optional*, defaults to `self.do_resize`):
                Whether to resize the image.
            size (`Dict[str, int]`, *optional*, defaults to `self.size`):
                Size of the image after resizing.
            resample (`int`, *optional*, defaults to `self.resample`):
                Resampling filter to use if resizing the image. This can be one of the enum `PILImageResampling`. Only
                has an effect if `do_resize` is set to `True`.
            do_rescale (`bool`, *optional*, defaults to `self.do_rescale`):
                Whether to rescale the image.
            rescale_factor (`float`, *optional*, defaults to `self.rescale_factor`):
                Rescale factor to rescale the image by if `do_rescale` is set to `True`.
            do_normalize (`bool`, *optional*, defaults to `self.do_normalize`):
                Whether to normalize the image.
            image_mean (`float` or `List[float]`, *optional*, defaults to `self.image_mean`):
                Image mean to use for normalization. Only has an effect if `do_normalize` is set to `True`.
            image_std (`float` or `List[float]`, *optional*, defaults to `self.image_std`):
                Image standard deviation to use for normalization. Only has an effect if `do_normalize` is set to
                `True`.
            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.
            do_convert_rgb (`bool`, *optional*, defaults to `self.do_convert_rgb`):
                Whether to convert the image to RGB.
        r!   F)
param_namedefault_to_squarezkInvalid image type. Must be of type PIL.Image.Image, numpy.ndarray, torch.Tensor, tf.Tensor or jax.ndarray.)r#   r$   r%   r&   r'   r    r!   r"   r   zIt looks like you are trying to rescale already rescaled images. If the input images have pixel values between 0 and 1, set `do_rescale=False` to avoid rescaling them again.r,   r-   )imager!   r"   r9   )r=   scaler9   )r=   meanstdr9   )input_channel_dimr   )datatensor_type)r    r!   r
   r"   r#   r$   r%   r&   r'   r(   r   r   
ValueErrorr   r   r   r   loggerwarning_oncer   r   rescale	normalizer   r	   )r1   r6   r    r!   r"   r#   r$   r%   r&   r'   r7   r8   r9   r(   r=   r,   r-   rB   s                     r4   
preprocesszSiglipImageProcessor.preprocessn   sn   ~ "+!6IDNN	'tTYYTfN'38#-#9Zt
+9+E4K^K^'3'?|TEVEV#-#9Zt
!*!6IDNN	+9+E4K^K^$V,F#:  	&!)%!		
 9?@nU+@F@ 6<<E.'<<6!9%*s
 $ >vay I NDMEF $ U&%8_pqF 
  $ 5RcdF 
  $ U^opF  ou
ej'{N_`
 
 '>BBO A =

s$   G1G
G!*G&G+/G0)__name__
__module____qualname____doc__model_input_namesr   BICUBICboolr   strintr   floatr   r   r0   r   r   FIRSTr   r   PILImagerI   __classcell__)r3   s   @r4   r   r   0   s   > (( #'9'A'A,3!:>9=#-- 38n- %	-
 - c5j)- - U5$u+#567- E%e"456- - 
-8 %& #'+ $!:>9=;?2B2H2HDH#BCBC BC 38n	BC
 %BC BC BC BC U5$u+#567BC E%e"456BC !sJ!78BC ./BC $E#/?*?$@ABC BC 
BC 'BCr5   r   )$rM   typingr   r   r   r   image_processing_utilsr   r	   r
   image_transformsr   r   r   image_utilsr   r   r   r   r   r   r   r   r   r   r   utilsr   r   r   r   
get_loggerrJ   rE   rU   r   r.   r5   r4   <module>r^      sm    ( . . U U 
    _ ^ 
		H	% AC- ACr5   