是图像的大小说错了
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13542749802 发布的帖子
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RE: 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发布在 OpenMV Cam
# 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() -
RE: 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发布在 OpenMV Cam
# Untitled - By: Administrator - 周一 五月 13 2019 import sensor, image, time,pyb,utime from pyb import UART #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: 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() global flag_color flag_color = 1 global timeout timeout = 1 global start while(flag_color == 1): #先识别红色 sensor.skip_frames(30) clock = time.clock() clock.tick() 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 sensor.skip_frames(30) clock = time.clock() clock.tick() 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 sensor.skip_frames(30) clock = time.clock() 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 sensor.skip_frames(20) clock = time.clock() 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() -
RE: 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发布在 OpenMV Cam
# Untitled - By: Administrator - 周一 五月 13 2019 import sensor, image, time,pyb,utime from pyb import UART #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: red_fd = open('red_threshold.txt','r',encoding='utf-8') #读取red_threshold.txt的红色阈值 green_fd = open('green_threshold.txt','r',encoding='utf-8') #读取green_threshold.txt的红色阈值 blue_fd = open('blue_threshold.txt','r',encoding='utf-8') #读取blue_threshold.txt的红色阈值 red_threshold = tuple(eval(red_fd.read())) green_threshold = tuple(eval(green_fd.read())) blue_threshold = tuple(eval(blue_fd.read())) red_fd.close() green_fd.close() blue_fd.close() 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() global flag_color flag_color = 1 global timeout timeout = 1 global start while(flag_color == 1): #先识别红色 sensor.skip_frames(30) clock = time.clock() clock.tick() 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 sensor.skip_frames(30) clock = time.clock() clock.tick() 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 sensor.skip_frames(30) clock = time.clock() 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 sensor.skip_frames(20) clock = time.clock() 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() -
RE: 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发布在 OpenMV Cam
# Untitled - By: Administrator - 周一 五月 13 2019 import sensor, image, time,pyb,utime from pyb import UART #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): if uart.any(): uart_buf = uart.readline() if uart_buf == b'0x01': global switch switch = 1 if switch == 1: red_fd = open('red_threshold.txt','r',encoding='utf-8') #读取red_threshold.txt的红色阈值 green_fd = open('green_threshold.txt','r',encoding='utf-8') #读取green_threshold.txt的红色阈值 blue_fd = open('blue_threshold.txt','r',encoding='utf-8') #读取blue_threshold.txt的红色阈值 red_threshold = tuple(eval(red_fd.read())) green_threshold = tuple(eval(green_fd.read())) blue_threshold = tuple(eval(blue_fd.read())) red_fd.close() green_fd.close() blue_fd.close() 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() global flag_color flag_color = 1 global timeout timeout = 1 global start while(flag_color == 1): #先识别红色 sensor.skip_frames(30) clock = time.clock() clock.tick() 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 sensor.skip_frames(30) clock = time.clock() clock.tick() 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 sensor.skip_frames(30) clock = time.clock() 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 sensor.skip_frames(20) clock = time.clock() 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 "alter" in uart_buf: #拾取屏幕中的颜色阈值 sensor.reset() sensor.set_pixformat(sensor.RGB565) sensor.set_framesize(sensor.QVGA) 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() r = [(320//2)-(30//2), (240//2)-(30//2), 30, 30] for i in range(60): img = sensor.snapshot() img.draw_rectangle(r) if "red_threshold" in uart_buf: #拾取红色阈值 red_threshold = [30, 30, 0, 0, 0, 0] for i in range(60): img = sensor.snapshot() hist = img.get_histogram(roi=r) lo = hist.get_percentile(0.01) hi = hist.get_percentile(0.99) red_threshold[0] = (red_threshold[0] + lo.l_value()) red_threshold[1] = (red_threshold[1] + hi.l_value()) red_threshold[2] = (red_threshold[2] + lo.a_value()) red_threshold[3] = (red_threshold[3] + hi.a_value()) red_threshold[4] = (red_threshold[4] + lo.b_value()) red_threshold[5] = (red_threshold[5] + hi.b_value()) for blob in img.find_blobs([red_threshold], pixels_threshold=100, area_threshold=100, merge=True, margin=10): img.draw_rectangle(blob.rect()) img.draw_cross(blob.cx(), blob.cy()) img.draw_rectangle(r) red_fd = open('red_threshold.txt','w+') #识别红色阈值并写入到red_threshold.txt文件里 red_fd.write(str(red_threshold)) red_fd.close() uart.write(str(red_threshold)) elif "green_threshold" in uart_buf: #拾取绿色阈值 green_threshold = [30, 30, 0, 0, 0, 0] for i in range(60): img = sensor.snapshot() hist = img.get_histogram(roi=r) lo = hist.get_percentile(0.01) hi = hist.get_percentile(0.99) green_threshold[0] = (green_threshold[0] + lo.l_value()) green_threshold[1] = (green_threshold[1] + hi.l_value()) green_threshold[2] = (green_threshold[2] + lo.a_value()) green_threshold[3] = (green_threshold[3] + hi.a_value()) green_threshold[4] = (green_threshold[4] + lo.b_value()) green_threshold[5] = (green_threshold[5] + hi.b_value()) for blob in img.find_blobs([green_threshold], pixels_threshold=100, area_threshold=100, merge=True, margin=10): img.draw_rectangle(blob.rect()) img.draw_cross(blob.cx(), blob.cy()) img.draw_rectangle(r) green_fd = open('green_threshold.txt','w+') #识别绿色阈值并写入到red_threshold.txt文件里 green_fd.write(str(green_threshold)) green_fd.close() uart.write(str(green_threshold)) elif "blue_threshold" in uart_buf: #拾取蓝色阈值 blue_threshold = [30, 30, 0, 0, 0, 0] for i in range(60): img = sensor.snapshot() hist = img.get_histogram(roi=r) lo = hist.get_percentile(0.01) hi = hist.get_percentile(0.99) blue_threshold[0] = (blue_threshold[0] + lo.l_value()) blue_threshold[1] = (blue_threshold[1] + hi.l_value()) blue_threshold[2] = (blue_threshold[2] + lo.a_value()) blue_threshold[3] = (blue_threshold[3] + hi.a_value()) blue_threshold[4] = (blue_threshold[4] + lo.b_value()) blue_threshold[5] = (blue_threshold[5] + hi.b_value()) for blob in img.find_blobs([blue_threshold], pixels_threshold=100, area_threshold=100, merge=True, margin=10): img.draw_rectangle(blob.rect()) img.draw_cross(blob.cx(), blob.cy()) img.draw_rectangle(r) blue_fd = open('blue_threshold.txt','w+') #识别蓝色阈值并写入到red_threshold.txt文件里 blue_fd.write(str(blue_threshold)) blue_fd.close() uart.write(str(blue_threshold)) if __name__=='__main__': fun()