target must be b, c, x, y(, z) with c=1 :param net_output: :param target: :return:

target must be b, c, x, y(, z) with c=1 :param net_output: :param target: :return:

Retrieves the probability map for a single image from a folder containing multiple checkpoints. Note: this is publication method!! Args:

changed order_resampling_data, order_resampling_seg

changed order_resampling_data, order_resampling_seg

changed order_resampling_data, order_resampling_seg

changed order_resampling_data, order_resampling_seg

Retrieves a list of file paths for files with a '.nii.gz' extension within a folder and its subfolders. Args: folder_path (str): The

Returns the image embeddings for the currently set image, with shape 1xCxHxW, where C is the embedding dimension and (H,W) are

r""" Returns: image_features (`torch.FloatTensor` of shape `(batch_size, output_dim`): The image embeddings obtained by

Retrieves the mean probability maps for foreground and background for a single image from a folder containing multiple checkpoints. Args:

r""" Returns: text_features (`torch.FloatTensor` of shape `(batch_size, output_dim`): The text embeddings obtained by

Transformation for CAM (image)

returns list of pretrained models Returns a tuple (model_name, pretrain_tag) by default or 'name:tag' if as_str == True

Load a CLIP model Parameters ---------- name : str A model name listed by `clip.available_models()`, or the path to a model check

Call in an exception handler to ignore any exception, issue a warning, and continue.

See http://www.codinghorror.com/blog/archives/001018.html