openmv上电后芯片过热，frame buffer区域的图像会很暗，这是代码问题还是硬件出问题了？

[m2wt]

[kidswong999]

正常来说没有关联。
你需要提供具体的代码，硬件的型号，固件版本。让我复现问题，才能解决。

[m2wt]

THRESHOLD = (0,100) # Grayscale threshold for dark things... (5, 70, -23, 15, -57, 0)(18, 100, 31, -24, -21, 70)
import sensor, image, time, pyb
from pyb import LED
from pyb import UART,Timer
from pyb import Pin
uart = UART(3,115200)#初始化串口 波特率 115200

sensor.reset()
#sensor.set_vflip(True)
#sensor.set_hmirror(True)
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA) # 80x60 (4,800 pixels) - O(N^2) max = 2,3040,000.
sensor.set_auto_gain(False) # 在进行颜色追踪时，必须关闭
sensor.set_auto_whitebal(False) # 在进行颜色追踪时，必须关闭
sensor.skip_frames(time = 2000)     # WARNING: If you use QQVGA it may take seconds
clock = time.clock()                # to process a frame sometimes.

green_led = LED(2)
blue_led  = LED(3)
p_out = Pin('P7', Pin.OUT_PP)#设置p_out为输出引脚

thresholds1 = [(9, 46, 127, -30, 27, 127)]#异物阈值
thresholds2 = [(0, 10, 127, -128, -128, 127)]#杆阈值


class Object(object):
    pixels = 0
    num = 0
    flag1 = 0
    flag2 = 0
    flag3 = 0

class receive(object):
    uart_buf = []
    _data_len = 0
    _data_cnt = 0
    state = 0
R=receive()

class ctrl(object):
    work_mode = 0x01 #工作模式.默认是点检测，可以通过串口设置成其他模式
    #check_show = 1   #开显示，在线调试时可以打开，离线使用请关闭，可提高计算速度

ctr=ctrl()

object  = Object()
#line.flag = 0

timer_update_flag=0

timer = Timer(4, freq=20)



# func会自动接收timer这个对象
def func(timer):
    global timer_update_flag
    #print(timer.counter())
    # 定义回调函数
    timer_update_flag=1

timer.callback(func)



#物块检测数据打包
def pack_object_data():
    pack_data=bytearray([0xAA,0xAF,0xC0,0x00,object.flag1,object.flag2,object.flag3,0x00,0x00,object.num,0x00,0x00])

    lens = len(pack_data)#数据包大小
    pack_data[3] = lens-5;#有效数据个数

    i = 0
    sum = 0

    #和校验
    while i<(lens-1):
        sum = sum + pack_data[i]
        i = i+1
    pack_data[lens-1] = sum;

    return pack_data


#串口数据解析
def Receive_Anl(data_buf,num):

    #和校验
    sum = 0
    i = 0
    while i<(num-1):
        sum = sum + data_buf[i]
        i = i + 1

    sum = sum%256 #求余
    if sum != data_buf[num-1]:
        return
    #和校验通过

    #if data_buf[2]==0x01:
    #    print("receive 1 ok!")

    #if data_buf[2]==0x02:
    #   print("receive 2 ok!")

    if data_buf[2]==0xFC:

        #设置模块工作模式
        ctr.work_mode = data_buf[4]

        #print("Set work mode success!")


#串口通信协议接收
def Receive_Prepare(data):

    if R.state==0:

        if data == 0xAA:#帧头
            R.state = 1
            R.uart_buf.append(data)
        else:
            R.state = 0

    elif R.state==1:
        if data == 0xAF:#帧头
            R.state = 2
            R.uart_buf.append(data)
        else:
            R.state = 0

    elif R.state==2:
        if data <= 0xFF:#控制字
            R.state = 3
            R.uart_buf.append(data)
        else:
            R.state = 0

    elif R.state==3:#数据个数
        if data <= 33:
            R.state = 4
            R.uart_buf.append(data)
            R._data_len = data
            R._data_cnt = 0
        else:
            R.state = 0

    elif R.state==4:
        if R._data_len > 0:
            R. _data_len = R._data_len - 1
            R.uart_buf.append(data)
            if R._data_len == 0:
                R.state = 5
        else:
            R.state = 0

    elif R.state==5:
        R.state = 0
        R.uart_buf.append(data)
        Receive_Anl(R.uart_buf,R.uart_buf[3]+5)
        R.uart_buf=[]#清空缓冲区，准备下次接收数据
    else:
        R.state = 0

#读取串口缓存
def uart_read_buf():
    i = 0
    buf_size = uart.any()
    while i<buf_size:
        Receive_Prepare(uart.readchar())
        i = i + 1
#检测函数
def check_object(img):
    #寻找色块
    blobs = img.find_blobs(thresholds1, pixels_threshold=200, area_threshold=200, merge=True, margin=5)
    #for blob in blobs:
    if blobs:
        #if object.pixels<blob.pixels():#寻找最大的黑点
        #object.pixels=blob.pixels()
        object.flag1 = 1
        #img.draw_cross(blob.cx(), blob.cy(), color=127, size = 10)
        for blob in blobs:
            img.draw_rectangle(blob.rect(), color=127)
            blue_led.on()
 1           p_out.low()#设置p_out引脚为低
    else:
        blue_led.off()
        p_out.high()
        #object.flag = 0

    #判断标志位 赋值像素点数据
    #object.flag = object.ok
    #object.num = object.pixels

    #清零标志位
    #object.pixels = 0
    #object.ok = 0

    #寻找黑杆
    blobs1 = img.find_blobs(thresholds2, pixels_threshold=2000, area_threshold=200, merge=True, margin=5)
    if blobs1:
        #if object.pixels<blob.pixels():#寻找最大的黑点
        #object.pixels=blob.pixels()
        object.flag2 = 1
        #img.draw_cross(blob.cx(), blob.cy(), color=127, size = 10)-
        for blob1 in blobs1:
            img.draw_rectangle(blob1.rect())
            print(blob1.pixels())

    #寻找二维码
    if object.flag2 == 1:
        img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
        codes = img.find_qrcodes()
        if codes:
            object.flag3 = 1
            for code in codes:
                green_led.on()
                print(code)
        else:
            green_led.off()
        #object.flag = 0

    #object.flag = object.ok

    #object.ok = 0


    global timer_update_flag
    #发送数据
    if timer_update_flag:
        uart.write(pack_object_data())
        #timer_update_flag=0

while(True):
    clock.tick()

    #img = sensor.snapshot().binary([THRESHOLD])
    #img = sensor.snapshot()

    if (ctr.work_mode&0x01)!=0:
        img = sensor.snapshot()
        check_object(img)
        #LED(1).on()           #亮灯
        #time.sleep(10)     #延时150ms
        #LED(1).off()
        #time.sleep(10)     #延时150ms
    #print(object.flag)

    #接收串口数据
    uart_read_buf()
    #found_line(img)
    #print(clock.fps())

[m2wt]

@kidswong999 openmv4 h7 之前没有发觉 今天用的时候一直出现这个问题

[kidswong999]

上传一下正常的图像，和变暗的图像吧

[m2wt]

此回复已被删除！

[m2wt]

 @kidswong999