# Single Color RGB565 Blob Tracking Example
#
# This example shows off single color RGB565 tracking using the OpenMV Cam.
import sensor, image, time, math
#导入自带的模块
threshold_index = 0 # 0 for red, 1 for green, 2 for blue
#设置颜色的阈值,LAB的三个最大值,三个最小值
# Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)
# The below thresholds track in general red/green/blue things. You may wish to tune them...
thresholds = [(30, 100, 15, 127, 15, 127), # generic_red_thresholds
(30, 100, -64, -8, -32, 32), # generic_green_thresholds
(0, 15, 0, 40, -80, -2)] # generic_blue_thresholds
sensor.reset()#重置感光元件,重置摄像机
sensor.set_pixformat(sensor.RGB565)#重置颜色格式为RGB56
sensor.set_framesize(sensor.QVGA)#图像的大小是QVGA
sensor.skip_frames(time = 2000)
sensor.set_auto_gain(False) # 务必要关闭白平衡
sensor.set_auto_whitebal(False) # 务必要关闭自动增益
#因为打开会影响颜色识别的效果,会使颜色的阈值发生改变
clock = time.clock()
# Only blobs that with more pixels than "pixel_threshold" and more area than "area_threshold" are
# returned by "find_blobs" below. Change "pixels_threshold" and "area_threshold" if you change the
# camera resolution. "merge=True" merges all overlapping blobs in the image.
while(True):
clock.tick()
img = sensor.snapshot()#先截取感光元件的一张图片
#在img.find_blobs这个函数中,进行颜色识别
for blob in img.find_blobs([thresholds[threshold_index]], pixels_threshold=200, area_threshold=200, merge=True):
#此处没有设置roi的值,便是对整个图像进行颜色识别
# 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())
#如果识别到了颜色,我们就在这个色块的周围画一个框把它圈出来
img.draw_cross(blob.cx(), blob.cy())
#中间画一个十字,(blob.cx(), blob.cy())是色块的中心坐标
# Note - the blob rotation is unique to 0-180 only.
img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20)
#blob是find_blobs返回的参数
print(clock.fps())
请在这里粘贴代码