# Multi Color Blob Tracking Example
#
# This example shows off multi color blob tracking using the OpenMV Cam.
import sensor
import time
import math
# Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max)
# The below thresholds track in general red/green 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, -20),
] # generic_blue_thresholds
# You may pass up to 16 thresholds above. However, it's not really possible to segment any
# scene with 16 thresholds before color thresholds start to overlap heavily.
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()
# 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. Don't set "merge=True" because that will merge blobs which we don't want here.
while True:
clock.tick()
img = sensor.snapshot()
for blob in img.find_blobs(thresholds, pixels_threshold=200, area_threshold=200):
# 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
)
print(blob.code())
#print(clock.fps())
为啥我这识别颜色时有这么多框呢，看起来好乱呀，就像图片那样，我想识别红色，但有些框中的地方也不对呀。代码就是示例里的多颜色识别，而且我加了print(blob.code())，不管是哪个颜色都只返回数字2呀，怎么解决呢