openmv计算两直线夹角
时间: 2023-08-03 10:01:12 浏览: 132
要计算两条直线的夹角,可以使用OpenMV的`line_intersection()`函数来找到两条直线的交点,然后通过计算交点与直线起点或终点的夹角来得到夹角值。以下是一个示例代码:
```python
import sensor, image
sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
clock = time.clock()
# 在图像上画两条直线
img = sensor.snapshot()
img.draw_line((50, 50, 200, 100))
img.draw_line((100, 150, 250, 200))
img = img.to_grayscale()
# 获取直线的起点和终点坐标
line1 = [(50, 50), (200, 100)]
line2 = [(100, 150), (250, 200)]
# 计算两条直线的交点坐标
def line_intersection(line1, line2):
xdiff = (line1[0][0] - line1[1][0], line2[0][0] - line2[1][0])
ydiff = (line1[0][1] - line1[1][1], line2[0][1] - line2[1][1])
def det(a, b):
return a[0] * b[1] - a[1] * b[0]
div = det(xdiff, ydiff)
if div == 0:
raise Exception('Lines do not intersect')
d = (det(*line1), det(*line2))
x = det(d, xdiff) / div
y = det(d, ydiff) / div
return x, y
intersection = line_intersection(line1, line2)
# 计算交点与直线起点或终点的夹角
angle = math.atan2(intersection[1] - line1[0][1], intersection[0] - line1[0][0])
# 将弧度转换为角度
angle_degrees = math.degrees(angle)
print("夹角:", angle_degrees)
```
这段代码首先设置了OpenMV的一些参数,然后在图像上画了两条直线,并将图像转换为灰度图像。接下来定义了一个`line_intersection()`函数,用于计算两条直线的交点坐标。最后,计算了交点与直线起点的夹角,并将弧度转换为角度进行打印输出。你可以根据需要修改直线的起点和终点坐标来计算不同直线之间的夹角。
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