# Multi Color Blob Tracking Example
# This example shows off multi color blob tracking using the OpenMV Cam.
import sensor, image, time, 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
(15, 84, -53, -10, -30, 20), # generic_green_thresholds
(47, 75, -128, 21, 31, 127)] # 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.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" becuase that will merge blobs which we don't want here.
img = sensor.snapshot()
for blob in img.find_blobs(thresholds, pixels_threshold=200, area_threshold=1000):
# These values depend on the blob not being circular - otherwise they will be shaky.
if blob.elongation() > 0.5:
# These values are stable all the time.
# Note - the blob rotation is unique to 0-180 only.
img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20)