逐行注释下面这段代码: width = proposal[:, 2] - proposal[:, 0] height = proposal[:, 3] - proposal[:, 1] ctr_x = proposal[:, 0] + 0.5 * width ctr_y = proposal[:, 1] + 0.5 * height gt_width = reference_box[:, 2] - reference_box[:, 0] gt_height = reference_box[:, 3] - reference_box[:, 1] gt_ctr_x = reference_box[:, 0] + 0.5 * gt_width gt_ctr_y = reference_box[:, 1] + 0.5 * gt_height dx = self.weights[0] * (gt_ctr_x - ctr_x) / width dy = self.weights[1] * (gt_ctr_y - ctr_y) / height dw = self.weights[2] * torch.log(gt_width / width) dh = self.weights[3] * torch.log(gt_height / height) delta = torch.stack((dx, dy, dw, dh), dim=1) return delta
时间: 2023-07-16 12:15:52 浏览: 43
这段代码主要是计算proposal和reference_box之间的偏移量,具体注释如下:
```
# 提取proposal的宽度和高度
width = proposal[:, 2] - proposal[:, 0]
height = proposal[:, 3] - proposal[:, 1]
# 计算proposal的中心点坐标
ctr_x = proposal[:, 0] + 0.5 * width
ctr_y = proposal[:, 1] + 0.5 * height
# 提取reference_box的宽度和高度
gt_width = reference_box[:, 2] - reference_box[:, 0]
gt_height = reference_box[:, 3] - reference_box[:, 1]
# 计算reference_box的中心点坐标
gt_ctr_x = reference_box[:, 0] + 0.5 * gt_width
gt_ctr_y = reference_box[:, 1] + 0.5 * gt_height
# 计算偏移量
dx = self.weights[0] * (gt_ctr_x - ctr_x) / width
dy = self.weights[1] * (gt_ctr_y - ctr_y) / height
dw = self.weights[2] * torch.log(gt_width / width)
dh = self.weights[3] * torch.log(gt_height / height)
# 将偏移量拼接成一个tensor返回
delta = torch.stack((dx, dy, dw, dh), dim=1)
return delta
```