@gv51

这是实际效果

import sensor, image, time, pyb
from pyb import UART
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # must be turned off for color tracking
sensor.set_auto_whitebal(False) # must be turned off for color tracking
clock = time.clock()

red = 0

red_threshold  = (9, 51, 29, 95, 20, 51)#red

uart = UART(3, 9600)

def find_max(blobs):
    max_size=0
    for blob in blobs:
        if blob[2]*blob[3] > max_size:
            max_blob=blob
            max_size = blob[2]*blob[3]
    return max_blob

while(True):
    clock.tick()
    img = sensor.snapshot()
    blobs = img.find_blobs([red_threshold])
    if blobs:
        max_blob = find_max(blobs)
    for max_blob in img.find_circles(
                                  threshold = 3500,
                                  x_margin = 10,
                                  y_margin = 10,
                                  r_margin =10,
                                  r_min = 10,
                                  r_max = 60,
                                  r_step = 10
                                  ):
        img.draw_circle(max_blob.x(), max_blob.y(), max_blob.r(), color = (0, 255, 0))
        red = red+1
    if red == 10:
        red = 0
        pyb.LED(2).on()
        uart.write("1\r\n")
        time.sleep_ms(200)
        pyb.LED(2).off()
![0_1710587934490_1710587710562.jpg](https://fcdn.singtown.com/f21ed488-f5c8-4326-a1f7-3e8ebf1142d1.jpg)

@kidswong999 就是如果我要用神经网络的模型，就必须选择4plus吗

@gv51 能不能在Edge生成的openMV代码上使用别的tflite模型啊

@gv51 在 openmv只能在Edge上训练模型吗 中说：

用的是4 H7 不能用Edge的模型，想弄神经网络的话只能换成plus了吗

能不能在Edge生成的代码使用别的tflite模型啊

用的是4 H7 不能用Edge的模型，想弄神经网络的话只能换成plus了吗

@kidswong999 这不是妥妥坑爹呢