extract a list object from the *.txt file Args: p: *.txt file path. sep: Separators. [Default: ' '] Returns: A list ob

Trans poly format to rbox format. Args: polys (array): (num_gts, [x1 y1 x2 y2 x3 y3 x4 y4]) num_cls_thata (int): [1], theta

:param rate: resize rate before cut

Warning: This function will allocate a new string in Python 3, * so please call SWIG_Python_str_DelForPy3(x) to free the space. */

Return the pretty name associated with this type, that is an unmangled type name in a form presentable to the user. */

GetItemInt */

BufferIndexError */

Return intersection-over-union (Jaccard index) of boxes. Both sets of boxes are expected to be in (x1, y1, x2, y2) format. Arguments:

Create a folder Args: p: file path. is_remove: whether delete the exist folder or not. Default [False].

Trans poly format to hbb format Args: rboxes (array/tensor): (num_gts, poly) Returns: hbboxes (array/tensor): (num_gts,

Filter the poly labels which is out of the image. Args: polys (array): (num, 8) Return： keep_masks (array): (num)

多边形切割 用直线ab切割多边形p，切割后的在向量(a,b)的左侧，并原地保存切割结果 如果退化为一个点，也会返回去,此时n为1 void polygon_cut(Point*p,int&n,Point a,Point b){ static Point pp[maxn]; int m=0;p[n]=

Decorator to make all processes in distributed training wait for each local_master to do something.

Pack binary data into a string */

The python cached type query */

Cast a pointer up an inheritance hierarchy */

Set the clientdata field for a type */

Unpack binary data from a string */

split a single image and ground truth :param name: image name :param rate: the resize scale for the image :param

IsLittleEndian */

IsLittleEndian */

RaiseArgTupleInvalid */

RaiseArgTupleInvalid */

BufferIndexError */

ExtTypeTest */

CodeObjectCache */

CodeObjectCache */

Args: x (tensor): (b, 3, height, width), RGB Return： x (list[P3_out, ...]): tensor.Size(b, self.na, h_i, w_i

source - https://gist.github.com/simon-weber/7853144 A context manager that will prevent any logging messages triggered during the body from bein

Returns the intersection over box2 area given box1, box2. Boxes are x1y1x2y2 box1: np.array of shape(4) box2: np.array of shape(n