Calculate IoU between 2D bboxes. Args: bboxes1 (Tensor): bboxes have shape (m, 4) in <x1, y1, x2, y2> format, or

Call function to load images into results. Args: results (dict): A result dict contains the file name of the imag

Call function to apply test time augment transforms on results. Args: results (dict): Result dict contains the data to transform.

Call function to resize images, bounding boxes, masks, semantic segmentation map. Args: results (dict): Result dict from

Call function to flip bounding boxes, masks, semantic segmentation maps. Args: results (dict): Result dict from loading p

Call function to pad images, masks, semantic segmentation maps. Args: results (dict): Result dict from loading pipeline.

Call function to normalize images. Args: results (dict): Result dict from loading pipeline. Returns: dict: N

Call function to randomly crop images, bounding boxes, masks, semantic segmentation maps. Args: results (dict): Result di

Call function to scale the semantic segmentation map. Args: results (dict): Result dict from loading pipeline. Returns:

Call function to perform photometric distortion on images. Args: results (dict): Result dict from loading pipeline. Retu

Call function to expand images, bounding boxes. Args: results (dict): Result dict from loading pipeline. Returns:

Call function to crop images and bounding boxes with minimum IoU constraint. Args: results (dict): Result dict from loadi

Call function to corrupt image. Args: results (dict): Result dict from loading pipeline. Returns: dict: Resu

Call functions to load image and get image meta information. Args: results (dict): Result dict from :obj:`mmdet.CustomDataset`.

Call functions to load multiple images and get images meta information. Args: results (dict): Result dict from :obj:`mmde

Call function to load multiple types annotations. Args: results (dict): Result dict from :obj:`mmdet.CustomDataset`. Ret

Call function to load proposals from file. Args: results (dict): Result dict from :obj:`mmdet.CustomDataset`. Returns:

Call function to apply transforms sequentially. Args: data (dict): A result dict contains the data to transform. Returns

Call function to convert data in results to :obj:`torch.Tensor`. Args: results (dict): Result dict contains the data to convert.

Call function to convert image in results to :obj:`torch.Tensor` and transpose the channel order. Args: results (dict): R

Call function to transpose the channel order of data in results. Args: results (dict): Result dict contains the data to transpose

Call function to convert data in results to :obj:`mmcv.DataContainer`. Args: results (dict): Result dict contains the dat

Call function to transform and format common fields in results. Args: results (dict): Result dict contains the data to convert.

Call function to collect keys in results. The keys in ``meta_keys`` will be converted to :obj:mmcv.DataContainer. Args: r

Call function to wrap fields into lists. Args: results (dict): Result dict contains the data to wrap. Returns:

Index the BitmapMask. Args: index (int | ndarray): Indices in the format of integer or ndarray. Returns: :ob

Index the polygon masks. Args: index (ndarray | List): The indices. Returns: :obj:`PolygonMasks`: The indexe

Get training/test data after pipeline. Args: idx (int): Index of data. Returns: dict: Training/test data (wi