openmv色塊跟隨，串口打印出色塊區域的中點坐標
利用openmv實現色塊追隨，在程序中調整閾值即可實現任意顏色的跟隨
，想要提升幀率可以把圖像格式改為QQVGA
源程序如下:
- # Blob Detection and uart transport
- import sensor, image, time
- from pyb import UART
- import json
- # For color tracking to work really well you should ideally be in a very, very,
- # very, controlled enviroment where the lighting is constant...
- yellow_threshold = (31, 88, 40, 127, -25, 122)
- # You may need to tweak the above settings for tracking green things...
- # Select an area in the Framebuffer to copy the color settings.
- sensor.reset() # Initialize the camera sensor.
- sensor.set_pixformat(sensor.RGB565) # use RGB565.
- sensor.set_framesize(sensor.QVGA) # use QQVGA for speed.
- sensor.skip_frames(10) # Let new settings take affect.
- sensor.set_auto_whitebal(False) # turn this off.
- clock = time.clock() # Tracks FPS.
- uart = UART(3, 115200)
- def find_max(blobs):
- max_size=0
- for blob in blobs:
- if blob.pixels() > max_size:
- max_blob=blob
- max_size = blob.pixels()
- return max_blob
- while(True):
- img = sensor.snapshot() # Take a picture and return the image.
- blobs = img.find_blobs([yellow_threshold])
- if blobs:
- max_blob=find_max(blobs)
- print('sum :', len(blobs))
- img.draw_rectangle(max_blob.rect())
- img.draw_cross(max_blob.cx(), max_blob.cy())
- output_str="%.3d,%.3d" % (max_blob.cx(),max_blob.cy()) #方式1
- #output_str=json.dumps([max_blob.cx(),max_blob.cy()]) #方式2
- print('you send:',output_str)
- uart.write(output_str+'\r\n')
- else:
- print('not found!')
以上資料51hei提供下載:
uart_red.zip
(1.16 KB, 下載次數: 25)
2019-8-5 19:55 上傳
點擊文件名下載附件
下載積分: 黑幣 -5
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