为什么我第一次识别红色成功后第二次再识别屏幕的色彩变绿了好多
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@kidswong999 第一次识别到红色，然后继续识别图像以及卡主了
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@13542749802 是不是需要重新初始化啊，我重新初始化就不会
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和初始化没关系。感光元件只需要开机初始化一次。
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@kidswong999 那为什么识别到红色，图像就停止了呢
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@13542749802 你要提供你的代码。
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# Untitled - By: Administrator - 周一 五月 13 2019 import sensor, image, time,pyb,utime 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) sensor.set_auto_whitebal(False) sensor.set_auto_exposure(False, 1500)#这里设置曝光时间 sensor.skip_frames(30) clock = time.clock() #初始化串口3 uart = UART(3,115200) uart.init(115200,bits = 8,parity = None,stop = 1) #初始化RGB red_led = pyb.LED(1) grean_led = pyb.LED(2) blue_led = pyb.LED(3) global flag_color #标志变量 flag_color = 0 global switch #标志变量 switch = 0 global timeout timeout = 0 global start start = 0 red_color = (32, 48, 54, 70, 31, 59) # 一般情况下的红色阈值 green_color = (47, 64, -61, -48, 29, 51) # 一般情况下的绿色阈值 blue_color = (53 , 59 , 7 , 23 , -74 , -61) # 一般情况下的蓝色阈值 red_threshold = (30, 40, 40, 57, 18, 52) green_threshold =(33, 47, -47, -28, 10, 36) blue_threshold = (55, 59, 10, 22, -70, -65) # 如果是红色，执行此函数 def doWithRed(img): red_led.on() grean_led.off() blue_led.off() uart.write("1") # 如果是绿色，执行此函数 def doWithGreen(img): grean_led.on() red_led.off() blue_led.off() uart.write("2") # 如果是蓝色，执行此函数 def doWithBlue(img): blue_led.on() red_led.off() grean_led.off() uart.write("3") # 如果是红绿蓝三色，执行此函数 def RedAndGreenAndBlue(img): uart.write("4") i = 0 for i in range(5): red_led.toggle() blue_led.toggle() grean_led.toggle() time.sleep(100) # 如果是二维码，执行此函数 def Qr_code(img): blue_led.on() red_led.on() grean_led.on() uart.write("5") #判断单颜色中最大色块 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 def fun(): while(True): global switch switch = 1 if switch == 1: global flag_color flag_color = 1 global timeout timeout = 1 global start if timeout == 1: start = utime.ticks_ms() #记录当前识别红色开始运行时间 global timeout timeout = 0 delta = utime.ticks_diff(utime.ticks_ms(), start) print(delta) if delta > 8000: #如果超过8秒则跳出该循环往下执行第二步，并向串口发送-1 if flag_color == 1: blue_led.toggle() red_led.toggle() grean_led.toggle() uart.write('-1') global timeout timeout = 1 global flag_color flag_color = 2 break img = sensor.snapshot() red_blob = img.find_blobs([red_threshold], pixels_threshold=100, area_threshold=100, merge=True) if red_blob: max_blob = find_max(red_blob) print(max_blob) if(max_blob.w() > 30 and max_blob.h() > 20): img.draw_rectangle(max_blob.rect()) img.draw_cross(max_blob.cx(), max_blob.cy()) # cx, cy doWithRed(img) global flag_color flag_color = 2 global timeout timeout = 1 time.sleep(500) while(flag_color == 2): #识别绿色 if timeout == 1: start = utime.ticks_ms() #记录当前识别绿色开始识别时间 global timeout timeout = 0 delta = utime.ticks_diff(utime.ticks_ms(), start) print(delta) if delta > 8000: #如果超过8秒则跳出该循环往下执行第三步，并向串口发送-2 if flag_color == 2: blue_led.toggle() red_led.toggle() grean_led.toggle() uart.write('-2') global timeout timeout = 1 global flag_color flag_color = 3 break green_blob = img.find_blobs([green_threshold], pixels_threshold=100, area_threshold=100, merge=True) if green_blob: max_blob = find_max(green_blob) if(max_blob.w() > 30 and max_blob.h() > 20): img.draw_rectangle(max_blob.rect()) img.draw_cross(max_blob.cx(), max_blob.cy()) # cx, cy doWithGreen(img) global flag_color flag_color = 3 global timeout timeout = 1 time.sleep(500) while(flag_color == 3): #识别蓝色 clock.tick() if timeout == 1: start = utime.ticks_ms() #记录当前识别蓝色开始识别时间 global timeout timeout = 0 delta = utime.ticks_diff(utime.ticks_ms(), start) print(delta) if delta > 8000: #如果超过8秒则跳出该循环往下执行第四部，并向串口发送-3 if flag_color == 3: blue_led.toggle() red_led.toggle() grean_led.toggle() uart.write("-3") global flag_color flag_color = 4 global timeout timeout = 1 break blue_blob = img.find_blobs([blue_threshold], pixels_threshold=100, area_threshold=100, merge=True) if blue_blob: max_blob = find_max(blue_blob) if(max_blob.w() > 30 and max_blob.h() > 20): img.draw_rectangle(max_blob.rect()) img.draw_cross(max_blob.cx(), max_blob.cy()) # cx, cy doWithBlue(img) global flag_color flag_color = 4 global timeout timeout = 1 time.sleep(500) while(flag_color == 4): #识别红绿蓝 clock.tick() if timeout == 1: start = utime.ticks_ms() #记录当前识别红绿蓝开始识别时间 global timeout timeout = 0 delta = utime.ticks_diff(utime.ticks_ms(), start) print(delta) if delta > 8000: #如果超过8秒则跳出该循环往下执行第五步，并向串口发送-4 if flag_color == 4: blue_led.toggle() red_led.toggle() grean_led.toggle() uart.write("-4") global flag_color flag_color = 5 global timeout timeout = 1 global switch switch = 2 break img = sensor.snapshot() red_blob = img.find_blobs([red_color], pixels_threshold=100, area_threshold=100, merge=True) green_blob = img.find_blobs([green_color], pixels_threshold=100, area_threshold=100, merge=True) blue_blob = img.find_blobs([blue_color], pixels_threshold=100, area_threshold=100, merge=True) if red_blob and green_blob and blue_blob: r_max_size=g_max_size=b_max_size=0 for r_blob,g_blob,b_blob in zip(red_blob,green_blob,blue_blob): if r_blob[2]*r_blob[3] > r_max_size and g_blob[2]*g_blob[3] > g_max_size and b_blob[2]*b_blob[3] > b_max_size: img.draw_rectangle(r_blob.rect()) img.draw_cross(r_blob.cx(), r_blob.cy()) # cx, cy img.draw_rectangle(g_blob.rect()) img.draw_cross(g_blob.cx(), g_blob.cy()) # cx, cy img.draw_rectangle(b_blob.rect()) img.draw_cross(b_blob.cx(), b_blob.cy()) # cx, cy RedAndGreenAndBlue(img) global flag_color flag_color = 5 global timeout timeout = 1 global switch switch = 2 time.sleep(500) if switch == 2: #sensor.reset() #sensor.set_pixformat(sensor.RGB565) #sensor.set_framesize(sensor.QQVGA) #sensor.skip_frames(30) # 修改sensor配置之后， 跳过30帧 #sensor.set_auto_gain(False) while(flag_color == 5): #识别二维码 if timeout == 1: start = utime.ticks_ms() #记录当前二维码开始识别时间 global timeout timeout = 0 delta = utime.ticks_diff(utime.ticks_ms(), start) print(delta) if delta > 10000: #如果超过10秒则跳出循环，并向串口发送-5 if flag_color == 5: blue_led.toggle() red_led.toggle() grean_led.toggle() uart.write('-5') global timeout timeout = 1 global flag_color flag_color = 1 global switch switch = 1 break img = sensor.snapshot() img.lens_corr(1.5) for code in img.find_qrcodes(): print(code) if code[4] == "hello": Qr_code(img) global flag_color flag_color = 1 global switch switch = 1 global timeout timeout = 1 time.sleep(500) if __name__=='__main__': fun()
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我运行你的代码没有停止
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@kidswong999 这里不方便拍视频不然拍给你看
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@13542749802 有QQ没我拍了发你
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@kidswong999 要识别到才会帧缓冲区才会停止的
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？？？？？？？？？？？？？？
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你也有那种卡住的问题吗
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你微信号多少，加你微信探讨一下。