Example explanation 99-Tests->colorbar color test

# 色彩测试例程
#
# 这个例子是每个OpenMV Cam在被允许出厂之前运行的彩条测试。 OMV传感器可以输出一个彩条图像,您可以通过阈值检查摄像机总线是否连接正确。

import sensor, time

sensor.reset()
# 设置传感器
sensor.set_brightness(0)
sensor.set_saturation(3)
sensor.set_gainceiling(8)
sensor.set_contrast(2)

# 设置传感器像素格式
sensor.set_framesize(sensor.QVGA)
sensor.set_pixformat(sensor.RGB565)

# 启用色条测试模式
sensor.set_colorbar(True)

# 跳过几帧,让传感器稳定下来
for i in range(0, 30):
    image = sensor.snapshot()

# #颜色条阈值
t = [lambda r, g, b: r < 70  and g < 70  and b < 70,   # Black
     lambda r, g, b: r < 70  and g < 70  and b > 200,  # Blue
     lambda r, g, b: r > 200 and g < 70  and b < 70,   # Red
     lambda r, g, b: r > 200 and g < 70  and b > 200,  # Purple
     lambda r, g, b: r < 70  and g > 200 and b < 70,   # Green
     lambda r, g, b: r < 70  and g > 200 and b > 200,  # Aqua
     lambda r, g, b: r > 200 and g > 200 and b < 70,   # Yellow
     lambda r, g, b: r > 200 and g > 200 and b > 200]  # White

# 颜色条在OV7725中是反向的
if (sensor.get_id() == sensor.OV7725):
    t = t[::-1]

# 320x240图像有8个颜色条,每个大约是40像素。
# 我们从帧缓冲区的中心开始,并且从每个彩条的中心平均10个采样像素的值。
for i in range(0, 8):
    avg = (0, 0, 0)
    idx = 40*i+20 # 颜色条的中心
    for off in range(0, 10): # avg 10 pixels
        rgb = image.get_pixel(idx+off, 120)
        avg = tuple(map(sum, zip(avg, rgb)))

    if not t[i](avg[0]/10, avg[1]/10, avg[2]/10):
        raise Exception("COLOR BARS TEST FAILED. "
        "BAR#(%d): RGB(%d,%d,%d)"%(i+1, avg[0]/10, avg[1]/10, avg[2]/10))

print("COLOR BARS TEST PASSED...")

Singtown Technology OpenMV official Chinese document function explanation:

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