特征点检测例程一直报错咋办呢?是怎呢回事?
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# Object tracking with keypoints example. # Show the camera an object and then run the script. A set of keypoints will be extracted # once and then tracked in the following frames. If you want a new set of keypoints re-run # the script. NOTE: see the docs for arguments to tune find_keypoints and match_keypoints. import sensor, time, image # Reset sensor sensor.reset() # Sensor settings sensor.set_contrast(3) sensor.set_gainceiling(16) sensor.set_framesize(sensor.VGA)#在这里报错 ValueError: Failed to set framesize! sensor.set_windowing((320, 240)) sensor.set_pixformat(sensor.GRAYSCALE) sensor.skip_frames(time = 2000) sensor.set_auto_gain(False, value=100) def draw_keypoints(img, kpts): if kpts: print(kpts) img.draw_keypoints(kpts) img = sensor.snapshot() time.sleep(1000) kpts1 = None # NOTE: uncomment to load a keypoints descriptor from file #kpts1 = image.load_descriptor("/desc.orb") #img = sensor.snapshot() #draw_keypoints(img, kpts1) clock = time.clock() while (True): clock.tick() img = sensor.snapshot() if (kpts1 == None): # NOTE: By default find_keypoints returns multi-scale keypoints extracted from an image pyramid. kpts1 = img.find_keypoints(max_keypoints=150, threshold=10, scale_factor=1.2) draw_keypoints(img, kpts1) else: # NOTE: When extracting keypoints to match the first descriptor, we use normalized=True to extract # keypoints from the first scale only, which will match one of the scales in the first descriptor. kpts2 = img.find_keypoints(max_keypoints=150, threshold=10, normalized=True) if (kpts2): match = image.match_descriptor(kpts1, kpts2, threshold=85) if (match.count()>10): # If we have at least n "good matches" # Draw bounding rectangle and cross. img.draw_rectangle(match.rect()) img.draw_cross(match.cx(), match.cy(), size=10) print(kpts2, "matched:%d dt:%d"%(match.count(), match.theta())) # NOTE: uncomment if you want to draw the keypoints #img.draw_keypoints(kpts2, size=KEYPOINTS_SIZE, matched=True) # Draw FPS img.draw_string(0, 0, "FPS:%.2f"%(clock.fps()))
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求解答啊······
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找到解决方法了,更新IDE和固件到最新就可以了!更新可能要VPN。