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 = [(18, 46, -4, 26, 5, 30)] # generic_red_thresholds
thresholds_green =  [(47, 64, -67, -39, -128, 127)] # generic_green_thresholds
thresholds_blue = [(24, 38, -128, 36, -73, -10)] # generic_blue_thresholds
cx = 0, # up sample by 4   #数据1
cy = 0, # up sample by 4    #数据2
cw = 0, # up sample by 4    #数据1
ch = 0, # up sample by 4    #数据2
cj = 0, # up sample by 4    #数据1
cz = 0, # up sample by 4    #数据2


def cx1():
    for cx in tuple1:
        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('r')#发送完成信号
                    print("cx=red")
                    break


        elif 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('g')#发送完成信号
                    print("cx=green")
                    break

        elif 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('b')#发送完成信号
                    print("cx=blue")
                    break


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('读取')
        print(qrcode2)
        list1 = list(qrcode2)
        time.sleep(5)

        tuple1 = (cx, cy, cw, ch, cj, cz)
        print(tuple1)
        print(cx)
        cx1()
        print(cx)
        cy1()
        print(cy)

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

@kidswong999 改了之后还是不行

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")

那关于这个错误呢

@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")

@kidswong999 解决了多谢

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")