4. 为什么出现SyntaxError: invalid syntax呢
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    • 为什么出现SyntaxError: invalid syntax呢

    • V

      import time, sensor, image, math
      from pyb import UART
      import sensor, image, math

      uart = UART(3, 9600)
      sensor.reset()
      sensor.set_pixformat(sensor.RGB565)
      sensor.set_framesize(sensor.QVGA)
      sensor.skip_frames(time = 2000)
      sensor.set_auto_gain(False) # must be turned off for color tracking
      sensor.set_auto_whitebal(False) # must be turned off for color tracking
      clock = time.clock()

      thresholds_red = [(30, 100, 15, 127, 15, 127)] # generic_red_thresholds
      thresholds_green = [(30, 100, -64, -8, -32, 32)] # generic_green_thresholds
      thresholds_blue = [(0, 15, 0, 40, -80, -20)] # generic_blue_thresholds
      int(cx), # up sample by 4 #数据1
      int(cy), # up sample by 4 #数据2
      int(cw), # up sample by 4 #数据1
      int(ch), # up sample by 4 #数据2
      int(cj), # up sample by 4 #数据1
      int(cz), # up sample by 4 #数据2

      while(True):
      clock.tick()
      img = sensor.snapshot()
      img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
      for code in img.find_qrcodes():
      img.draw_rectangle(code.rect(), color = (255, 0, 0))
      print(code)
      qrcode2 = code.payload()
      cx = int(qrcode2[0:1])
      cy = int(qrcode2[1:2])
      cw = int(qrcode2[2:3])
      ch = int(qrcode2[4:5])
      cj = int(qrcode2[5:6])
      cz = int(qrcode2[6:7])
      print(cx)

      if cx == 1 :

clock.tick()
img = sensor.snapshot()
for blob in img.find_blobs(thresholds_red, pixels_threshold=200, area_threshold=200):   #未设置roi
    # These values depend on the blob not being circular - otherwise they will be shaky.
    if blob.elongation() > 0.5:
        img.draw_edges(blob.min_corners(), color=(255,0,0))
        img.draw_line(blob.major_axis_line(), color=(0,255,0))
        img.draw_line(blob.minor_axis_line(), color=(0,0,255))
    # These values are stable all the time.
    img.draw_rectangle(blob.rect())
    img.draw_cross(blob.cx(), blob.cy())
    # Note - the blob rotation is unique to 0-180 only.
    img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20)                #识别寻找红色色块

uart.write('red')#发送完成信号
print("red")
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    • V

      0_1695121152201_p.png

      0

    • 缩进不对，if下面必须有缩进。

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       2 条回复
    • V

      @kidswong999 解决了多谢

      0
    • V

      @kidswong999 while(True):
      clock.tick()
      img = sensor.snapshot()
      img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
      for code in img.find_qrcodes():
      img.draw_rectangle(code.rect(), color = (255, 0, 0))
      print(code)
      qrcode2 = code.payload()
      cx = int(qrcode2[0:1])
      cy = int(qrcode2[1:2])
      cw = int(qrcode2[2:3])
      ch = int(qrcode2[4:5])
      cj = int(qrcode2[5:6])
      cz = int(qrcode2[6:7])
      print(cx)

      if cx == 1 :

    clock.tick()
    img = sensor.snapshot()
    for blob in img.find_blobs(thresholds_red, pixels_threshold=200, area_threshold=200):   #未设置roi
    # These values depend on the blob not being circular - otherwise they will be shaky.
        if blob.elongation() > 0.5:
            img.draw_edges(blob.min_corners(), color=(255,0,0))
            img.draw_line(blob.major_axis_line(), color=(0,255,0))
            img.draw_line(blob.minor_axis_line(), color=(0,0,255))
            # These values are stable all the time.
            img.draw_rectangle(blob.rect())
            img.draw_cross(blob.cx(), blob.cy())
            # Note - the blob rotation is unique to 0-180 only.
            img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20)                #识别寻找红色色块

uart.write('red')#发送完成信号
print("red")

else if cx == 2 :

    clock.tick()
    img = sensor.snapshot()
    for blob in img.find_blobs(thresholds_green, pixels_threshold=200, area_threshold=200):   #未设置roi
        # These values depend on the blob not being circular - otherwise they will be shaky.
        if blob.elongation() > 0.5:
            img.draw_edges(blob.min_corners(), color=(255,0,0))
            img.draw_line(blob.major_axis_line(), color=(0,255,0))
            img.draw_line(blob.minor_axis_line(), color=(0,0,255))
            # These values are stable all the time.
            img.draw_rectangle(blob.rect())
            img.draw_cross(blob.cx(), blob.cy())
            # Note - the blob rotation is unique to 0-180 only.
            img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20)                #识别寻找绿色色块


 uart.write('green')#发送完成信号
 print("green")
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    • V

      那关于这个错误呢0_1695274584160_pro.png

      0

    • 62行和63行缩进也不对。

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       1 条回复
    • V

      @kidswong999 改了之后还是不行0_1695298809978_pro.png

      import time, sensor, image, math
      from pyb import UART
      import sensor, image, math

      uart = UART(3, 9600)
      sensor.reset()
      sensor.set_pixformat(sensor.RGB565)
      sensor.set_framesize(sensor.QVGA)
      sensor.skip_frames(time = 2000)
      sensor.set_auto_gain(False) # must be turned off for color tracking
      sensor.set_auto_whitebal(False) # must be turned off for color tracking
      clock = time.clock()

      thresholds_red = [(30, 100, 15, 127, 15, 127)] # generic_red_thresholds
      thresholds_green = [(30, 100, -64, -8, -32, 32)] # generic_green_thresholds
      thresholds_blue = [(0, 15, 0, 40, -80, -20)] # generic_blue_thresholds
      int(cx), # up sample by 4 #数据1
      int(cy), # up sample by 4 #数据2
      int(cw), # up sample by 4 #数据1
      int(ch), # up sample by 4 #数据2
      int(cj), # up sample by 4 #数据1
      int(cz), # up sample by 4 #数据2

      while(True):
      clock.tick()
      img = sensor.snapshot()
      img.lens_corr(1.8) # strength of 1.8 is good for the 2.8mm lens.
      for code in img.find_qrcodes():
      img.draw_rectangle(code.rect(), color = (255, 0, 0))
      print(code)
      qrcode2 = code.payload()
      cx = int(qrcode2[0:1])
      cy = int(qrcode2[1:2])
      cw = int(qrcode2[2:3])
      ch = int(qrcode2[4:5])
      cj = int(qrcode2[5:6])
      cz = int(qrcode2[6:7])
      print(cx)

      if cx == 1 :

    clock.tick()
    img = sensor.snapshot()
    for blob in img.find_blobs(thresholds_red, pixels_threshold=200, area_threshold=200):   #未设置roi
    # These values depend on the blob not being circular - otherwise they will be shaky.
        if blob.elongation() > 0.5:
            img.draw_edges(blob.min_corners(), color=(255,0,0))
            img.draw_line(blob.major_axis_line(), color=(0,255,0))
            img.draw_line(blob.minor_axis_line(), color=(0,0,255))
            # These values are stable all the time.
            img.draw_rectangle(blob.rect())
            img.draw_cross(blob.cx(), blob.cy())
            # Note - the blob rotation is unique to 0-180 only.
            img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20)                #识别寻找红色色块

            uart.write('red')#发送完成信号
            print("red")

else if cx == 2 :

    clock.tick()
    img = sensor.snapshot()
    for blob in img.find_blobs(thresholds_green, pixels_threshold=200, area_threshold=200):   #未设置roi
        # These values depend on the blob not being circular - otherwise they will be shaky.
        if blob.elongation() > 0.5:
            img.draw_edges(blob.min_corners(), color=(255,0,0))
            img.draw_line(blob.major_axis_line(), color=(0,255,0))
            img.draw_line(blob.minor_axis_line(), color=(0,0,255))
            # These values are stable all the time.
            img.draw_rectangle(blob.rect())
            img.draw_cross(blob.cx(), blob.cy())
            # Note - the blob rotation is unique to 0-180 only.
            img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20)                #识别寻找绿色色块


            uart.write('green')#发送完成信号
            print("green")

else if cx == 3:

    clock.tick()
    img = sensor.snapshot()
    for blob in img.find_blobs(thresholds_blue, pixels_threshold=200, area_threshold=200):   #未设置roi
        # These values depend on the blob not being circular - otherwise they will be shaky.
        if blob.elongation() > 0.5:
            img.draw_edges(blob.min_corners(), color=(255,0,0))
            img.draw_line(blob.major_axis_line(), color=(0,255,0))
            img.draw_line(blob.minor_axis_line(), color=(0,0,255))
            # These values are stable all the time.
            img.draw_rectangle(blob.rect())
            img.draw_cross(blob.cx(), blob.cy())
            # Note - the blob rotation is unique to 0-180 only.
            img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20)                #识别寻找蓝色色块

            uart.write('blue')#发送完成信号
            print("blue")
      0

    • 我建议你先把python的语法学一遍，然后再写代码。这都是缩进这种基本问题。

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      V
       1 条回复
    • V

      @kidswong999 解决了谢谢，好久没用python了把elif写成else if了

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