出现这个NameError: name 'blob' isn't defined错误怎么解决呢?
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# Multi Color Blob Tracking Example # # This example shows off multi color blob tracking using the OpenMV Cam. import sensor, image, time, math from pyb import LED from pyb import UART uart = UART(3, 9600) uart.init(9600, bits=8, parity=None, stop=1) # 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 = [(0, 100, 35, 105, -36, 122), # generic_red_thresholds (36, 93, -32, 39, 31, 90), # generic_yellow_thresholds (0, 95, 18, 105, -102, -47),# generic_blue_thresholds (0, 35, -128, 127, -128, 127),# generic_black_thresholds (46, 91, -54, 9, -48, -8)] #generic_white_thresholds #LED(1).on() #LED(2).on() #LED(3).on() # 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.QQQVGA) 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 left_roi = [0,0,50,20] 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. while(True): clock.tick() img = sensor.snapshot() for blob in img.find_blobs(thresholds,roi=left_roi,pixels_threshold=100, area_threshold=100): # 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(clock.fps()) print(blob.code()) #uart.write("%x" %(blob.code())) X=int(blob.code()) data = bytearray([0xa5,X,0x00,0x00,X,0x5a]) uart.write(data) #usrt.write(output_shuju'\r\n')改为uart.write("output_shuju\r\n") #只识别物块,通过blob中roi值的定义即可完成定义
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51行到58行的缩进有问题,没有在for循环里面。