o 2h@sVddlZddlmZddlmZddlmZed      d d d Zd d ZdS)N)backend)ops) keras_exportz+keras.visualization.draw_segmentation_masks皙?Tcs|pt}t|}t|dkrtd||dkr(t|d}t|d}tj|dd}t|}t|j sGt |j } t d| |durUt t t|}dur^t|} n fd d t|D} t||} tj| d d } t||}|d dddf}t |}|} tj| ddd} t |} t| | D]\}}tj|| j d}|dddf| |d f<qt| } tj| dd}|r|d|||}t| d||}tj|dd}t |}|S)aDraws segmentation masks on images. The function overlays segmentation masks on the input images. The masks are blended with the images using the specified alpha value. Args: images: A batch of images as a 4D tensor or NumPy array. Shape should be (batch_size, height, width, channels). segmentation_masks: A batch of segmentation masks as a 3D or 4D tensor or NumPy array. Shape should be (batch_size, height, width) or (batch_size, height, width, 1). The values represent class indices starting from 1 up to `num_classes`. Class 0 is reserved for the background and will be ignored if `ignore_index` is not 0. num_classes: The number of segmentation classes. If `None`, it is inferred from the maximum value in `segmentation_masks`. color_mapping: A dictionary mapping class indices to RGB colors. If `None`, a default color palette is generated. The keys should be integers starting from 1 up to `num_classes`. alpha: The opacity of the segmentation masks. Must be in the range `[0, 1]`. blend: Whether to blend the masks with the input image using the `alpha` value. If `False`, the masks are drawn directly on the images without blending. Defaults to `True`. ignore_index: The class index to ignore. Mask pixels with this value will not be drawn. Defaults to -1. data_format: Image data format, either `"channels_last"` or `"channels_first"`. Defaults to the `image_data_format` value found in your Keras config file at `~/.keras/keras.json`. If you never set it, then it will be `"channels_last"`. Returns: A NumPy array of the images with the segmentation masks overlaid. Raises: ValueError: If the input `images` is not a 4D tensor or NumPy array. TypeError: If the input `segmentation_masks` is not an integer type. z;`images` must be batched 4D tensor. Received: images.shape=channels_first)rfloat32)dtypezR`segmentation_masks` must be in integer dtype. Received: segmentation_masks.dtype=Ncsg|]}|qSr.0i color_mappingrj/var/www/html/chatgem/venv/lib/python3.10/site-packages/keras/src/visualization/draw_segmentation_masks.py Rsz+draw_segmentation_masks..r)axis.r)r rr r )axesboolr ).Nuint8)rimage_data_formatrshapelen ValueError transposeconvert_to_tensor is_int_dtyper standardize_dtype TypeErrorintconvert_to_numpymax_generate_color_paletterange not_equalsqueezeone_hotnpastypecopyziparraycastwhere)imagessegmentation_masks num_classesralphablend ignore_index data_format images_shaper colors valid_masksmasksimages_to_drawmaskcoloroutputsrrrdraw_segmentation_maskssX 0             rAcs$tgdfddt|DS)N)iiicsg|] }|dqS))tolistrpaletterrrmsz+_generate_color_palette..)r+r/r')r4rrDrr&ksr&)NNrTrN) numpyr+ keras.srcrrkeras.src.api_exportrrAr&rrrrs    b