公开(公告)号：US20220301258A1

公开(公告)日：2022-09-22

申请号：US17826049

申请日：2022-05-26

申请人： CHINA INSTITUTE OF WATER RESOURCES AND HYDROPOWER RESEARCH

发明人： Wenlong SONG ,  Changjun LIU ,  Tao SUN ,  Rui TANG ,  Yuanyuan FU ,  Yizhu LU ,  Lang YU ,  Jie LIU ,  Yue WANG

IPC分类号： G06T15/10

摘要： Disclosed in the present invention is An improved rotated rectangular bounding box annotation method, used for taking as anchor boxes samples annotation and bounding box output at predicting of a target detection and tracking algorithm, wherein: coordinates of a central point C, a vector {right arrow over (CD)} from the coordinates of the central point C to any one vertex D, and a proportional coefficient of a vector {right arrow over (CP)} of a vector {right arrow over (CE)} on the vector {right arrow over (CD)} from the coordinates of the central point C to an adjacent vertex E of the vertex D, and a vector {right arrow over (CD)}; external constraints to be met: the vector {right arrow over (CP)} is in the same direction as the vector {right arrow over (CD)}, and the included angle from the vector {right arrow over (CD)} to the vector {right arrow over (CE)} is one of a clockwise direction or a counterclockwise direction; representation of an annotation vector {right arrow over (CD)}: the angle between the component of the annotation vector recorded at the first position and the vector is clockwise (or counterclockwise), and the value range of this angle is [0,90) degrees; the modulus value or another component of the annotation vector are recorded at the second position; the direction of the first component of the annotation vector is recorded at the third position, and this direction can be taken as X-axis direction or Y-axis direction; when the bounding box is square, either X-axis direction or Y-axis direction it can be taken. When the square bounding box and the general rectangular bounding box share the same constraints, recognition of the constraint by a machine learning algorithm is facilitated.