编写openmv3识别颜色(红色,蓝色,黄色,绿色)和形状(矩形,圆形,三角形,五角形)的代码
时间: 2023-10-02 16:04:21 浏览: 56
以下是一个基本的OpenMV3代码,用于识别颜色和形状:
```python
import sensor, image, time
from pyb import UART
# 初始化串口
uart = UART(3, 9600)
# 传感器设置
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
# 颜色和形状识别
def find_color_shape():
while(True):
img = sensor.snapshot()
blobs = img.find_blobs([(30, 100, -128, 127, -128, 127), # 红色阈值
(30, 100, -128, 127, -128, 127), # 蓝色阈值
(30, 100, -128, 127, -128, 127), # 黄色阈值
(30, 100, -128, 127, -128, 127)], # 绿色阈值
pixels_threshold=100, area_threshold=100)
for blob in blobs:
x = blob.cx()
y = blob.cy()
w = blob.w()
h = blob.h()
area = blob.area()
aspect_ratio = w / h
# 形状识别
if aspect_ratio > 0.95 and aspect_ratio < 1.05:
shape = "Circle"
elif aspect_ratio > 0.5 and aspect_ratio < 2:
shape = "Rectangle"
elif aspect_ratio > 0.3 and aspect_ratio < 0.5:
shape = "Triangle"
elif aspect_ratio > 0.2 and aspect_ratio < 0.3:
shape = "Pentagon"
# 颜色识别
if blob.code() == 1:
color = "Red"
elif blob.code() == 2:
color = "Blue"
elif blob.code() == 3:
color = "Yellow"
elif blob.code() == 4:
color = "Green"
# 发送颜色和形状到串口
uart.write(color + " " + shape + "\n")
# 在图像中标记形状和颜色
img.draw_rectangle(blob.rect())
img.draw_string(blob.x(), blob.y(), color + " " + shape, color = (255, 255, 255))
# 显示图像
img.show()
# 运行颜色和形状识别
find_color_shape()
```
这个代码使用OpenMV3的颜色识别和形状识别功能来检测红色、蓝色、黄色和绿色,并将它们分为矩形、圆形、三角形和五角形。它还将颜色和形状发送到串口,并在图像中标记它们。注意,您需要根据您的实际环境和要检测的颜色和形状进行适当的调整。