import sensor, time # Rotation. NORMALIZED=False # Keypoint extractor threshold, range from 0 to any number. # This threshold is used when extracting keypoints, the lower # the threshold the higher the number of keypoints extracted. KEYPOINTS_THRESH=20 # Keypoint-level threshold, range from 0 to 100. # This threshold is used when matching two keypoint descriptors, it's the # percentage of the distance between two descriptors to the max distance. # In other words, the minimum matching percentage between 2 keypoints. MATCHING_THRESH=80 # Reset sensor sensor.reset() # Sensor settings sensor.set_contrast(1) sensor.set_gainceiling(16) sensor.set_framesize(sensor.QQVGA) sensor.set_pixformat(sensor.GRAYSCALE) # Skip a few frames to allow the sensor settle down # Note: This takes more time when exec from the IDE. for i in range(0, 30): img = sensor.snapshot() img.draw_string(0, 0, "Please wait...") kpts1 = None clock = time.clock() while (True): clock.tick() img = sensor.snapshot() kpts2 = img.find_keypoints(threshold=KEYPOINTS_THRESH, normalized=NORMALIZED) if (kpts1==None): kpts1 = kpts2 kpts2 = None print(kpts1) if kpts2: c=img.match_keypoints(kpts1, kpts2, MATCHING_THRESH) # C[3] contains the percentage of matching keypoints. # If more than 25% of the keypoints match, draw stuff. if (c[2]>25): img.draw_cross(c[0], c[1], size=5) img.draw_keypoints(kpts2, color=255, size=12) img.draw_string(0, 0, "Match %d%%"%(c[2])) print (clock.fps())