为什么当标志位变化时，准备运行下一个if语句时，openmv就会自动断开连接？
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import sensor, image, time from pyb import UART from image import SEARCH_EX, SEARCH_DS thresholds = [(30, 100, 15, 127, 15, 127)] #red sensor.reset() # Reset and initialize the sensor. sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE) sensor.set_framesize(sensor.QQVGA) # Set frame size to QVGA (320x240) sensor.skip_frames(time = 2000) # Wait for settings take effect. sensor.set_auto_gain(False) sensor.set_auto_whitebal(False) #关掉白平衡和自动增益 uart = UART(3, 9600) templates1 = ["/11.pgm","/12.pgm","/13.pgm"] templates2 = ["/21.pgm","/22.pgm","/23.pgm"] #保存多个模板 templates3 = ["/31.pgm","/32.pgm","/33.pgm"] templates4 = ["/41.pgm","/42.pgm","/43.pgm"] templates5 = ["/51.pgm","/52.pgm","/53.pgm"] templates6 = ["/61.pgm","/62.pgm","/63.pgm"] templates7 = ["/71.pgm","/72.pgm","/73.pgm"] templates8 = ["/81.pgm","/82.pgm","/83.pgm"] clock = time.clock() while(True): p1=p2=p3=0 flag=1 clock.tick() # Update the FPS clock. img = sensor.snapshot() # Take a picture and return the image. #img.draw_rectangle((150,100, 50,50), color=(0,0,255)) #中 img.draw_rectangle((70,30,30,35), color=(0,0,255)) #上 img.draw_rectangle((40,50,30,40), color=(0,0,255)) #左 img.draw_rectangle((100,50,30,40), color=(0,0,255)) #右 #img.draw_rectangle((150,160, 50,50), color=(0,0,255)) #下 #上 左 右(73,55,20,15) (50,70,25,15) (91,70,25,15) if flag==1: for blob in img.find_blobs([thresholds[0]],roi=(70,30,30,35),pixels_threshold=15,area_threshold=15): img.draw_cross(blob.cx(),blob.cy()) p1=1 for blob in img.find_blobs([thresholds[0]],roi=(40,50,30,40),pixels_threshold=15,area_threshold=15): img.draw_cross(blob.cx(),blob.cy()) p2=1 for blob in img.find_blobs([thresholds[0]],roi=(100,50,30,40),pixels_threshold=15,area_threshold=15): img.draw_cross(blob.cx(),blob.cy()) p3=1 if p1==1 and p2==0 and p3==0 : uart.write("A") #前进 elif p1==1 and p2==1 and p3==0: uart.write("B") #左转 elif p1==0 and p2==1 and p3==0: uart.write("BB") #左转 elif p1==1 and p2==0 and p3==1: uart.write("C") #右转 elif p1==0 and p2==0 and p3==1: uart.write("CC") #右转 elif p1==1 and p2==1 and p3==1: uart.write("D") #路口1，2 flag=2 break elif p1==0 and p2==1 and p3==1: uart.write("E") #路口3 flag=2 break else: uart.write("E") elif flag==2: img = img.to_grayscale() #转化为灰度图 for t in templates1: img = sensor.snapshot() template = image.Image(t) r1 = img.find_template(template, 0.70, step=4, search=SEARCH_EX) for t in templates2: img = sensor.snapshot() template = image.Image(t) r2 = img.find_template(template, 0.70, step=4, search=SEARCH_EX) for t in templates3: img = sensor.snapshot() template = image.Image(t) r3 = img.find_template(template, 0.70, step=4, search=SEARCH_EX) for t in templates4: img = sensor.snapshot() template = image.Image(t) r4 = img.find_template(template, 0.70, step=4, search=SEARCH_EX) for t in templates5: img = sensor.snapshot() template = image.Image(t) r5 = img.find_template(template, 0.70, step=4, search=SEARCH_EX) for t in templates6: img = sensor.snapshot() template = image.Image(t) r6 = img.find_template(template, 0.70, step=4, search=SEARCH_EX) for t in templates7: img = sensor.snapshot() template = image.Image(t) r7 = img.find_template(template, 0.70, step=4, search=SEARCH_EX) for t in templates8: img = sensor.snapshot() template = image.Image(t) r8 = img.find_template(template, 0.70, step=4, search=SEARCH_EX) if r1: uart.write("1") if r2: uart.write("2") if r3: uart.write("3") if r4: uart.write("4") if r5: uart.write("5") if r6: uart.write("6") if r7: uart.write("7") if r8: uart.write("8") flag=1
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第66行，70行，74行，78行，82行，86行，90行，94行，重新采集了，img又变成RGB
你用的是什么硬件？是OpenMV4 Plus吗？
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@kidswong999 openmv-h7 R1
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@kidswong999 那如果想寻找色块和模板匹配一起使用，应该怎么弄（模板匹配需要每一个采集一次，不然延迟很高）？图像的img应该怎么弄？
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@pwtg 第66行，70行，74行，78行，82行，86行，90行，94行下面都添加img.to_grayscale()
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另外你最好用OpenMV4 h7 plus，否则你这么多模板，内存容易不够。