例程讲解06-Video-Recording->gif_on_movement录制移动物体动图

# 录制移动物体动图
#
# 注意：您将需要SD卡来运行此示例。
#
# 您可以使用OpenMV Cam来录制gif文件。可以用于RGB565图或灰度图。
# 使用像GIMP这样的照片编辑软件在将GIF上传到网络之前对其进行压缩和优化。
#
# 此示例演示如何使用OpenMV的帧差异来进行运动检测。检测到运动后，
# 您的OpenMV摄像机将拍摄视频。

import sensor, image, time, gif, pyb, os

RED_LED_PIN = 1
BLUE_LED_PIN = 3

sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.RGB565) # or sensor.GRAYSCALE
sensor.set_framesize(sensor.QQVGA) # or sensor.QVGA (or others)
sensor.skip_frames(time = 2000) # Let new settings take affect.
sensor.set_auto_whitebal(False) # Turn off white balance.

if not "temp" in os.listdir(): os.mkdir("temp") # Make a temp directory

while(True):

    pyb.LED(RED_LED_PIN).on()
    print("About to save background image...")
    sensor.skip_frames(time = 2000) # Give the user time to get ready.

    pyb.LED(RED_LED_PIN).off()
    sensor.snapshot().save("temp/bg.bmp")
    print("Saved background image - Now detecting motion!")
    pyb.LED(BLUE_LED_PIN).on()

    diff = 10 # We'll say we detected motion after 10 frames of motion.
    while(diff):
        img = sensor.snapshot()
        img.difference("temp/bg.bmp")
        stats = img.statistics()
        # state[5]是照明颜色通道的最大值。当整个图像的最大光照高于20时
        # 触发下面的代码。
        # 照明差异最大值应该为零。

        if (stats[5] > 20):
            diff -= 1

    g = gif.Gif("example-%d.gif" % pyb.rng(), loop=True)

    clock = time.clock() # Tracks FPS.
    print("You're on camera!")
    for i in range(100):
        clock.tick()
        # clock.avg() returns the milliseconds between frames - gif delay is in
        g.add_frame(sensor.snapshot(), delay=int(clock.avg()/10)) # centiseconds.
        print(clock.fps())

    g.close()
    pyb.LED(BLUE_LED_PIN).off()
    print("Restarting...")

星瞳科技OpenMV官方中文文档函数讲解：

星瞳科技OpenMV官方中文文档函数讲解：

星瞳科技OpenMV官方中文文档函数讲解：