6uis 发布的帖子

lepton的镜头，同一段程序，运行一段时间以后就会发生这种情况

为什么装备红外镜头的摄像头在正常运行时，同一段程序运行一段时间后，画面会出现明暗变化呢？每次设置完成的参数运行一段时间后就会不一样，该问题如何解决
 

使用红外镜头能否训练模型呢？

请问下 是什么原因出现的错误？ 错误发生在第46行

# Edge Impulse - OpenMV Object Detection Example

import sensor, image, time, os, tf, math, uos, gc

sensor.reset()                         # Reset and initialize the sensor.
sensor.set_pixformat(sensor.RGB565)    # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA)      # Set frame size to QVGA (320x240)
sensor.set_windowing((240, 240))       # Set 240x240 window.
sensor.skip_frames(time=2000)          # Let the camera adjust.

net = None
labels = None
min_confidence = 0.5

try:
    # load the model, alloc the model file on the heap if we have at least 64K free after loading
    net = tf.load("trained.tflite", load_to_fb=uos.stat('trained.tflite')[6] > (gc.mem_free() - (64*1024)))
except Exception as e:
    raise Exception('Failed to load "trained.tflite", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')

try:
    labels = [line.rstrip('\n') for line in open("labels.txt")]
except Exception as e:
    raise Exception('Failed to load "labels.txt", did you copy the .tflite and labels.txt file onto the mass-storage device? (' + str(e) + ')')

colors = [ # Add more colors if you are detecting more than 7 types of classes at once.
    (255,   0,   0),
    (  0, 255,   0),
    (255, 255,   0),
    (  0,   0, 255),
    (255,   0, 255),
    (  0, 255, 255),
    (255, 255, 255),
]

clock = time.clock()
while(True):
    clock.tick()

    img = sensor.snapshot()

    # detect() returns all objects found in the image (splitted out per class already)
    # we skip class index 0, as that is the background, and then draw circles of the center
    # of our objects

    for i, detection_list in enumerate(net.detect(img, thresholds=[(math.ceil(min_confidence * 255), 255)])):
        if (i == 0): continue # background class
        if (len(detection_list) == 0): continue # no detections for this class?

        print("********** %s **********" % labels[i])
        for d in detection_list:
            [x, y, w, h] = d.rect()
            center_x = math.floor(x + (w / 2))
            center_y = math.floor(y + (h / 2))
            print('x %d\ty %d' % (center_x, center_y))
            img.draw_circle((center_x, center_y, 12), color=colors[i], thickness=2)

    print(clock.fps(), "fps", end="\n\n")

我想达成的需求是在生产线的环境下，识别移动的物体和人，如何区分这两种呢

先识别移动的物体然后再进行人识别能否实现？

不好意思，我也想加群，但是现在貌似又过期了。。。

好的！
非常感谢！

好的 谢谢
可不可以设定多个roi区域呢？

求教，ROI参数可以取反吗？就是除了ROI区域内，其他区域都执行检测

不用了，问题解决 具体咋解决的我也不知道。。。。。。。。

Type Error: function missing 1 required positional arguments
求教 为啥会出现这种错误啊

import sensor, image, time,pyb,lcd
import pyb, machine, sensor, image, pyb, os, lcd, time
led_R = pyb.LED(1)
led_G = pyb.LED(2)
led_B = pyb.LED(3)
led_R.off()
led_G.off()
led_B.off()
lcd.init()
from pyb import Pin,Timer,RTC

pin1 = Pin('P1', Pin.IN, Pin.PULL_DOWN)
pin4 = Pin('P4', Pin.IN, Pin.PULL_DOWN)
pin5 = Pin('P5', Pin.OUT, Pin.PULL_NONE)
pin6 = Pin('P6', Pin.OUT, Pin.PULL_NONE)
pin9 = Pin('P9', Pin.OUT, Pin.PULL_NONE)
light=Timer(2,freq=50000).channel(1,Timer.PWM,pin=Pin("P6")) #LED灯亮度调节
a=0
roi01 = (170,170,225,300)
Count01 = 0
Count02 = 0
Count_ok = 0
Count_ng = 0
result = 0
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.VGA)
sensor.set_windowing((0,0,500,400))
sensor.skip_frames(time = 1000)
sensor.set_auto_gain(False)
sensor.set_auto_whitebal(False)
def check01(): #2.0T
thresholds = [(35, 68, -20, 18, -59, -29),(68, 100, -35, -10, -58, -16)]
Count_ok = 0
Count_ng = 0
roi01 = (170,170,225,300)
for i in range(3):
a=0
light.pulse_width_percent(a)
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.VGA)
sensor.set_windowing((0,0,500,400))
sensor.skip_frames(time = 1000)
sensor.set_auto_gain(False)
sensor.set_auto_whitebal(False)
img=sensor.snapshot()
lcd.display(img,roi=roi01)
if Count_ok >= 13:
break
a=80
light.pulse_width_percent(a)
for y in range(15):
img=sensor.snapshot()
lcd.display(img,roi=roi01)
for blob in img.find_blobs(thresholds,roi=(175,135,190,95),pixels_threshold=100,area_threshold=100, merge=True,margin=7000):
if blob.area()>1500 and blob.area()<23000:
img.draw_rectangle(blob.rect(),color=(255,0,0))
img.draw_cross(blob.cx(),blob.cy())
img.draw_string(170,170,"OK",color=(255,255,255),scale=3,mono_space=False)
lcd.display(img,roi=roi01)
area=blob.area()
print('OK')
print(area)
Count_ok += 1
else:
img.draw_rectangle(blob.rect(),color=(255,0,0))
img.draw_cross(blob.cx(),blob.cy())
img.draw_string(170,170,"NG",color=(255,255,255),scale=3,mono_space=False)
lcd.display(img,roi=roi01)
area=blob.area()
print('NG')
print(area)
Count_ng += 1
if Count_ok > 8:
return True
else:
return False
def check02(): #1.5T
thresholds = [(49, 76, -31, -15, 7, 65),(64, 100, -35, 2, 8, 60)]
Count_ok = 0
Count_ng = 0
roi01 = (170,170,225,300)
for i in range(3):
a=0
light.pulse_width_percent(a)
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.VGA)
sensor.set_windowing((0,0,500,400))
sensor.skip_frames(time = 1000)
sensor.set_auto_gain(False)
sensor.set_auto_whitebal(False)
img=sensor.snapshot()
lcd.display(img,roi=roi01)
if Count_ok >= 13:
break
a=80
light.pulse_width_percent(a)
for y in range(15):
img=sensor.snapshot()
lcd.display(img,roi=roi01)
for blob in img.find_blobs(thresholds,roi=(185,135,190,95),pixels_threshold=300,area_threshold=200, merge=True,margin=300):
if blob.area()>2500 and blob.area()<20000:
img.draw_rectangle(blob.rect(),color=(255,0,0))
img.draw_cross(blob.cx(),blob.cy())
img.draw_string(170,170,"OK",color=(255,255,255),scale=3,mono_space=False)
lcd.display(img,roi=roi01)
area=blob.area()
print('OK')
print(area)
Count_ok += 1
else:
img.draw_rectangle(blob.rect(),color=(255,0,0))
img.draw_cross(blob.cx(),blob.cy())
img.draw_string(170,170,"NG",color=(255,255,255),scale=3,mono_space=False)
lcd.display(img,roi=roi01)
area=blob.area()
print('NG')
print(area)
Count_ng += 1
if Count_ok > 8:
return True
else:
return False

while(True):
img=sensor.snapshot()
value1=pin1.value()
value4=pin4.value()
if value1==1: #2.0T
rtc = RTC
datetime = rtc.datetime()
ye = str(datetime[0])
mon = '%02d' %datetime[1]
day = '%02d' %datetime[2]
hou = '%02d' %datetime[4]
minu = '%02d' %datetime[5]
sec = '%02d' %datetime[6]
subsec = str(datetime[7])

    file_name = 'NG'+ye+mon+day+hou+minu+sec
    Count01 += 1
    if Count01 == 1:
        lcd.display(img)
        result = check01()
    else:
        if result == True:
            led_G.on()
            print('2.0T OK')
            a=0
            light.pulse_width_percent(a)
            pin5.value(1)
            img.draw_string(170,170," 2.0T OK",color=(0,0,255),scale=4,mono_space=False)
            lcd.display(img,roi=roi01)
        elif result == False:
            led_R.on()
            print('total ng')
            sensor.snapshot().save("NG/%s.jpg"%(file_name))
            a=0
            light.pulse_width_percent(a)
            pin9.value(1)
            img.draw_string(170,170," 2.0T NG",color=(0,0,255),scale=4,mono_space=False)
            lcd.display(img,roi=roi01)
elif value4==1:    #1.5T
    rtc = RTC
    datetime = rtc.datetime()
    ye = str(datetime[0])
    mon = '%02d' %datetime[1]
    day = '%02d' %datetime[2]
    hou = '%02d' %datetime[4]
    minu = '%02d' %datetime[5]
    sec = '%02d' %datetime[6]
    subsec = str(datetime[7])

    file_name = 'NG'+ye+mon+day+hou+minu+sec
    Count02 += 1
    if Count02 == 1:
        lcd.display(img)
        result = check02()
    else:
        if result == True:
            led_G.on()
            print('total OK')
            a=0
            light.pulse_width_percent(a)
            pin5.value(1)
            img.draw_string(170,170," 1.5T OK",color=(0,0,255),scale=4,mono_space=False)
            lcd.display(img,roi=roi01)
        elif result == False:
            led_R.on()
            print('total ng')
            sensor.snapshot().save("NG/%s.jpg"%(file_name))
            a=0
            light.pulse_width_percent(a)
            pin9.value(1)
            img.draw_string(170,170," 1.5T NG",color=(0,0,255),scale=4,mono_space=False)
            lcd.display(img,roi=roi01)
else:
    img.draw_string(210,170," NO",color=(0,0,0),scale=3,mono_space=False)
    img.draw_string(210,200," KU",color=(0,0,0),scale=3,mono_space=False)
    img.draw_string(210,230," SKID",color=(0,0,0),scale=3,mono_space=False)
    lcd.display(img,roi=roi01)
    print('no skid')
    pin5.value(0)
    pin9.value(0)
    a=0
    light.pulse_width_percent(a)
    Count01 = 0
    Count02 = 0
    led_R.off()
    led_G.off()
    led_B.off()

如题。。小白求教

@kidswong999 感谢！！

@kidswong999 如果可以的话，程序有办法设置USB断电时，电池只保证RTC正常计时，不会运行检测程序么？这样电池能够使用的时间长一些。由于没有办法确定具体何时断电，pyb.stop没办法设置。。

我想达成的需求就是使用日期+时间的名称保存图片，现在使用的摄像头供电方式为USB供电，能不能在此基础上增加电池供电，保证断电时RTC正常计时不会复位？

另，摄像头能不能实现USB供电时为电池充电的功能。。。。

@tn56 抱歉，没整出来。。。。

摄像头连接不到电脑且LED绿灯和白灯交替闪烁
点击IDE界面连接按钮提示正在忙碌中
请问如何解决，重新刷固件，故障依然存在