源码如下
import numpy as np
# 将[x1,y1,x2,y2]转化成[x,y,s,r]
def convert_bbox_to_z(bbox):
w = bbox[2] - bbox[0]
h = bbox[3] - bbox[1]
x = bbox[0] + w / 2.
y = bbox[1] + w / 2.
s = w * h
r = w / float(h)
return np.array([x,y,s,r]).reshape((4,1)) # 返回四行一列,列向量
# 将[x,y,s,r]转化成[x1,y1,x2,y2]
def convert_x_to_bbox(x,score = None):
'''
:param x: [x,y,s,r]
:param score: 当前候选框的置信度
:return:
'''
w = np.sqrt(x[2]* x[3])
h = x[2] / w
x1 = x[0] - w /2.
y1 = x[1] - h / 2.
x2 = x[0] + w / 2.
y2 = x[1] + h /2.
if score is None:
return np.array([x1,y1,x2,y2]).reshape((1,4)) # 返回行向量
else:
return np.array([x1,y1,x2,y2,score]).reshape((1,5)) # 返回行向量,带置信度