File "C:\Users\HP\PycharmProjects\pythonProject2\qq.py", line 12, in <module> for i in circles[0, :]: ~~~~~~~^^^^^^ TypeError: 'NoneType' object is not subscriptable

这个错误是Python编程中常见的类型错误，意味着试图对一个空值(NoneType)进行操作，而这个空值不能够被索引(subscriptable)。具体到这段代码中，有可能是circles这个变量没有正确地被赋值，导致出现了空值，需要检查代码中circles的来源和赋值过程。另外，也需要确保代码中所有的数据类型和操作都是匹配的，如索引只能对列表、元组、字典等可迭代对象进行，而不能对数字等其他类型进行操作。

相关问题

openMV用UART库将以下代码通过串口发送给arduino: import sensor import image import time sensor.reset() sensor.set_pixformat(sensor.RGB565) sensor.set_framesize(sensor.QQVGA) sensor.skip_frames(time=2000) clock = time.clock() while True: clock.tick() img = sensor.snapshot().lens_corr(1.8) #检测圆形 for c in img.find_circles(threshold=3500, x_margin=10, y_margin=10, r_margin=10, r_min=2, r_max=100, r_step=2): img.draw_circle(c.x(), c.y(), c.r(), color=(255, 0, 0)) print(c) img = sensor.snapshot() #检测矩形 for r in img.find_rects(threshold=10000): img.draw_rectangle(r.rect(), color=(255, 0, 0)) for p in r.corners(): img.draw_circle(p[0], p[1], 5, color=(0, 255, 0)) print(r) #检测三角形 sum_theta = 0 count = 0 for l in img.find_line_segments(merge_distance=10, max_theta_diff=10): img.draw_line(l.line(), color=(255, 0, 0)) sum_theta += l.theta() count += 1 avg_theta = sum_theta / count if count > 0 else 0 if 1 < avg_theta < 110: print('三角形') print("FPS %f" % clock.fps())

你可以使用以下代码将上述代码通过串口发送给Arduino：

import serial

# 打开串口
ser = serial.Serial('/dev/ttyUSB0', 9600)  # 根据实际情况修改串口号和波特率

# 发送代码
code = '''
import sensor
import image
import time

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time=2000)
clock = time.clock()

while True:
    clock.tick()
    img = sensor.snapshot().lens_corr(1.8)

    # 检测圆形
    for c in img.find_circles(threshold=3500, x_margin=10, y_margin=10, r_margin=10, r_min=2, r_max=100, r_step=2):
        img.draw_circle(c.x(), c.y(), c.r(), color=(255, 0, 0))
        print(c)

    img = sensor.snapshot()

    # 检测矩形
    for r in img.find_rects(threshold=10000):
        img.draw_rectangle(r.rect(), color=(255, 0, 0))
        for p in r.corners():
            img.draw_circle(p[0], p[1], 5, color=(0, 255, 0))
        print(r)

    # 检测三角形
    sum_theta = 0
    count = 0
    for l in img.find_line_segments(merge_distance=10, max_theta_diff=10):
        img.draw_line(l.line(), color=(255, 0, 0))
        sum_theta += l.theta()
        count += 1

    avg_theta = sum_theta / count if count > 0 else 0
    if 1 < avg_theta < 110:
        print('三角形')

    print("FPS %f" % clock.fps())
'''

# 发送代码到Arduino
ser.write(code.encode('utf-8'))

# 关闭串口
ser.close()

请根据你的实际情况修改串口号和波特率。代码中使用了pyserial库来实现串口通信，需要提前安装。代码中将代码以字符串形式发送到Arduino，Arduino可以通过串口接收并执行。

import sensor, image, time sensor.reset() sensor.set_pixformat(sensor.RGB565) # 灰度更快 sensor.set_framesize(sensor.QQVGA) sensor.skip_frames(time = 2000) clock = time.clock() while(True): clock.tick() #lens_corr(1.8)畸变矫正 img = sensor.snapshot().lens_corr(1.8) for c in img.find_circles(threshold = 3500, x_margin = 10, y_margin = 10, r_margin = 10,r_min = 2, r_max = 100, r_step = 2): img.draw_circle(c.x(), c.y(), c.r(), color = (255, 0, 0)) print(c) clock.tick() img = sensor.snapshot() for r in img.find_rects(threshold = 10000): img.draw_rectangle(r.rect(), color = (255, 0, 0)) for p in r.corners(): img.draw_circle(p[0], p[1], 5, color = (0, 255, 0)) print(r) print("FPS %f" % clock.fps()) print("FPS %f" % clock.fps()) for l in img.find_line_segments(merge_distance = 10, max_theta_diff = 10): img.draw_line(l.line(), color = (255, 0, 0)) sum += l.theta() sum -= 180 if sum<110 and sum>1: print('三角形') num_segment=1

你的代码中已经包含了检测圆形和矩形的部分，但是缺少了检测三角形的部分。我会在代码中添加检测三角形的功能，同时进行一些优化。以下是修改后的代码：

import sensor
import image
import time

sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time=2000)
clock = time.clock()

while True:
    clock.tick()
    img = sensor.snapshot().lens_corr(1.8)
    
    # 检测圆形
    for c in img.find_circles(threshold=3500, x_margin=10, y_margin=10, r_margin=10, r_min=2, r_max=100, r_step=2):
        img.draw_circle(c.x(), c.y(), c.r(), color=(255, 0, 0))
        print(c)
    
    img = sensor.snapshot()
    
    # 检测矩形
    for r in img.find_rects(threshold=10000):
        img.draw_rectangle(r.rect(), color=(255, 0, 0))
        for p in r.corners():
            img.draw_circle(p[0], p[1], 5, color=(0, 255, 0))
        print(r)
    
    # 检测三角形
    sum_theta = 0
    count = 0
    for l in img.find_line_segments(merge_distance=10, max_theta_diff=10):
        img.draw_line(l.line(), color=(255, 0, 0))
        sum_theta += l.theta()
        count += 1
    
    avg_theta = sum_theta / count if count > 0 else 0
    if 1 < avg_theta < 110:
        print('三角形')
    
    print("FPS %f" % clock.fps())

请注意，我添加了一个变量`sum_theta`和`count`来计算检测到的直线的平均角度。然后，根据平均角度判断是否为三角形。这只是一个简单的判断方式，您可以根据需求进行进一步优化。希望这对您有所帮助！如果您有任何其他问题，请随时提问。