完善openmv代码 能测出圆形三角形 矩形

当然可以帮您完善OpenMV代码来检测圆形、三角形和矩形。以下是一个简单示例代码，可以通过颜色识别和形状匹配来实现这个功能：

import sensor
import image
import time

# 初始化摄像头
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time=2000)

# 定义颜色阈值
red_threshold = (30, 100, 15, 127, 15, 127)
green_threshold = (30, 100, -64, -8, -32, 32)
blue_threshold = (0, 30, 0, 64, -128, 0)

# 定义形状识别函数
def detect_shape(c):
    shape = ""
    # 计算轮廓的周长和面积
    perimeter = c.perimeter()
    area = c.area()
    
    # 计算圆度
    circularity = 4 * 3.1415926 * area / (perimeter * perimeter)
    
    # 判断形状
    if circularity > 0.85:
        shape = "圆形"
    elif 2.5 < c.aspect_ratio() < 3.5:
        shape = "矩形"
    elif 0.5 < c.aspect_ratio() < 2.0:
        shape = "三角形"
    
    return shape

# 主循环
while True:
    img = sensor.snapshot()
    
    # 检测红色物体
    red_blobs = img.find_blobs([red_threshold], pixels_threshold=200, area_threshold=200)
    if red_blobs:
        for b in red_blobs:
            # 绘制外接矩形
            img.draw_rectangle(b.rect(), color=(255, 0, 0))
            # 绘制形状名称
            img.draw_string(b.x(), b.y(), detect_shape(b), color=(255, 0, 0))
    
    # 检测绿色物体
    green_blobs = img.find_blobs([green_threshold], pixels_threshold=200, area_threshold=200)
    if green_blobs:
        for b in green_blobs:
            # 绘制外接矩形
            img.draw_rectangle(b.rect(), color=(0, 255, 0))
            # 绘制形状名称
            img.draw_string(b.x(), b.y(), detect_shape(b), color=(0, 255, 0))
    
    # 检测蓝色物体
    blue_blobs = img.find_blobs([blue_threshold], pixels_threshold=200, area_threshold=200)
    if blue_blobs:
        for b in blue_blobs:
            # 绘制外接矩形
            img.draw_rectangle(b.rect(), color=(0, 0, 255))
            # 绘制形状名称
            img.draw_string(b.x(), b.y(), detect_shape(b), color=(0, 0, 255))
    
    # 显示图像
    img.show()

您可以根据需要调整颜色阈值和形状识别的参数来适应您的实际场景。请确保在使用之前已经安装了OpenMV的开发环境，并且连接了OpenMV摄像头。希望能对您有所帮助！如果有任何问题，请随时提问。