openmv输出检测位置
时间: 2023-11-11 12:02:33 浏览: 28
OpenMV可以通过图像处理技术来检测物体的位置。在OpenMV中,可以通过以下方式输出检测位置:
1. 使用find_blobs方法检测物体的位置和大小:
```
import sensor, image, time
# 初始化摄像头
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
# 设置阈值
thresholds = [(30, 100, -128, 127, -128, 127)]
while(True):
# 获取图像
img = sensor.snapshot()
# 检测物体
blobs = img.find_blobs(thresholds, pixels_threshold=200, area_threshold=200)
# 输出检测结果
if blobs:
for b in blobs:
img.draw_rectangle(b.rect())
img.draw_cross(b.cx(), b.cy())
print("x=%d, y=%d" % (b.cx(), b.cy()))
```
2. 使用find_circles方法检测圆形物体的位置和大小:
```
import sensor, image, time
# 初始化摄像头
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
# 设置阈值
thresholds = [(30, 100, -128, 127, -128, 127)]
while(True):
# 获取图像
img = sensor.snapshot()
# 检测圆形物体
circles = img.find_circles(thresholds, x_margin=10, y_margin=10, r_margin=10, r_min=2, r_max=100, r_step=2)
# 输出检测结果
if circles:
for c in circles:
img.draw_circle(c.x(), c.y(), c.r(), color=(255, 0, 0))
print("x=%d, y=%d" % (c.x(), c.y()))
```
3. 使用find_qrcodes方法检测二维码的位置和内容:
```
import sensor, image, time
# 初始化摄像头
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
while(True):
# 获取图像
img = sensor.snapshot()
# 检测二维码
qrcodes = img.find_qrcodes()
# 输出检测结果
if qrcodes:
for q in qrcodes:
img.draw_rectangle(q.rect())
print(q.payload())
```