写程序时需要用到灰度图和彩色图，在初始化时设置RGB565,在后面需要用到灰度图时，不知道什么原因，串行端口打印的值感觉没啥问题（只是感觉），但是显示的图像出现问题。用示例代码进行测试如下:

import sensor, image, time

sensor.reset()                      # Reset and initialize the sensor.
sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA)   # Set frame size to QVGA (320x240)
sensor.skip_frames(time = 2000)     # Wait for settings take effect.
clock = time.clock()                # Create a clock object to track the FPS.

while(True):
    clock.tick()                    # Update the FPS clock.
    img = sensor.snapshot()         
    print(img.get_pixel(45,180)) 
    time.sleep(200)
    
    img = img.to_grayscale()
    print(img.get_pixel(45,180))              
    time.sleep(200)

好的

多谢小姐姐指点

openmv自身的二值化对光照过于敏感，如何做到自适应二值化，减小光照的影响呢？

需要利用RGB图像进行二值化进行处理，但是在使用例程RGB选取 阈值二值化后得到的图像不是二值化图，利用img.get_pixel()函数后，得到的也不是二值化后的值，这是怎么回事呢

# Color Binary Filter Example
#
# This script shows off the binary image filter. You may pass binary any
# number of thresholds to segment the image by.

import sensor, image, time

sensor.reset()
sensor.set_framesize(sensor.QVGA)
sensor.set_pixformat(sensor.RGB565)
sensor.skip_frames(time = 2000)
clock = time.clock()

# Use the Tools -> Machine Vision -> Threshold Edtor to pick better thresholds.
red_threshold = (23,45,   -6,2,   -1,8) # L A B


while(True):

    # Test red threshold
    for i in range(100):
        clock.tick()
        img = sensor.snapshot()
        img.binary([red_threshold])
        print(img.get_pixel(100,200))