Parse information from a line in a requirements text file.

An API used in inference stage for processing the data when some object classes should be ignored.

For VG_150 dataset. Rescales the bbox coords back to the original. Parameters ---------- og_height : int Original image height

:param img: :param img_meta: :param gt_bboxes: Usually, under the forward (train/val/test), it should not be None. But

:param img: :param img_meta: :param gt_bboxes: Usually, under the forward (train/val/test), it should not be None. Bu

https://github.com/tqdm/tqdm.

For SGG~SGCLS mode: Given gt boxes, extract its predicted scores and score dists. Without any post-process.

For SGG~SGCLS mode: Given gt boxes, extract its predicted scores and score dists. Without any post-process.

:param batch_idx: tensor with what index we're on :param confidence: tensor with confidences between [0,1) :param boxes: tens

Get a TxB indices from sorted lengths. Fetch new_inds, split by new_lens, padding to max(new_lens), and stack. Returns: new_inds (np.

Convert [xc yc w h] box format to [x1 y1 x2 y2] format.

Args: img_rgb: a numpy array of shape (H, W, C), where H and W correspond to the height and width of the image re

The public parameters that shared by various relation heads are initialized here.

Arguments: