计算机视觉 - 两个帧，重叠的边界框

以下是计算机视觉中处理两个帧重叠的边界框的示例代码：

import cv2

# 读取两个帧的图像
frame1 = cv2.imread('frame1.jpg')
frame2 = cv2.imread('frame2.jpg')

# 定义两个边界框的位置
box1 = (100, 100, 200, 200)  # (x, y, w, h)
box2 = (150, 150, 250, 250)

# 提取边界框的坐标
x1, y1, w1, h1 = box1
x2, y2, w2, h2 = box2

# 计算边界框的四个顶点坐标
top_left1 = (x1, y1)
bottom_right1 = (x1 + w1, y1 + h1)
top_left2 = (x2, y2)
bottom_right2 = (x2 + w2, y2 + h2)

# 重叠边界框的坐标计算
overlap_x1 = max(x1, x2)
overlap_y1 = max(y1, y2)
overlap_x2 = min(x1 + w1, x2 + w2)
overlap_y2 = min(y1 + h1, y2 + h2)

# 计算重叠区域的面积
overlap_area = max(0, overlap_x2 - overlap_x1) * max(0, overlap_y2 - overlap_y1)

# 计算重叠区域的比例
overlap_ratio = overlap_area / (w1 * h1)

# 在图像上绘制边界框和重叠区域
cv2.rectangle(frame1, top_left1, bottom_right1, (0, 255, 0), 2)
cv2.rectangle(frame2, top_left2, bottom_right2, (0, 255, 0), 2)
cv2.rectangle(frame2, (overlap_x1, overlap_y1), (overlap_x2, overlap_y2), (0, 0, 255), 2)

# 显示图像
cv2.imshow('Frame 1', frame1)
cv2.imshow('Frame 2', frame2)
cv2.waitKey(0)
cv2.destroyAllWindows()

请确保已经安装了OpenCV库，并将frame1.jpg和frame2.jpg替换为实际的图像文件路径。这段代码将加载两个图像，并在两个帧上绘制了边界框和重叠区域。最后，显示了处理后的帧。