Returns the tokenized representation of given input string(s) Parameters ---------- texts : Union[str, List[str]]

Args: img (PIL Image): Image to be cropped and resized. Returns: PIL Image: Resized, padded to at least targ

Uses SAM to calculate the image embedding for an image, and then allow repeated, efficient mask prediction given prompts.

Using a SAM model, generates masks for the entire image. Generates a grid of point prompts over the image, then filters lo

Predicts masks given an image and prompt embeddings, using a transformer architecture. Arguments: transformer

Args: img_size (int): Input image size. patch_size (int): Patch size. in_chans (int): Number of input

Args: dim (int): Number of input channels. num_heads (int): Number of attention heads. qkv_bias (bool

Args: kernel_size (Tuple): kernel size of the projection layer. stride (Tuple): stride of the projection layer.

A transformer decoder that attends to an input image using queries whose positional embedding is supplied. Args:

A transformer block with four layers: (1) self-attention of sparse inputs, (2) cross attention of sparse inputs to dense inputs, (3

SAM predicts object masks from an image and input prompts. Arguments: image_encoder (ImageEncoderViT): The backbone us

Sample shards from the shard list with replacement. :param urls: a list of URLs as a Python list or brace notation string

extracts the dataset fingerprint used for experiment planning. The dataset fingerprint will be saved as a json file in the input_fold

overwrite_target_spacing only affects 3d_fullres! (but by extension 3d_lowres which starts with fullres may also be affected