基本信息
源码名称:openmv识别特定颜色且打印坐标到串口
源码大小:2.46KB
文件格式:.py
开发语言:Python
更新时间:2019-07-25
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源码介绍
根据源码改的openmv识别特定颜色跟踪并标记,颜色阈值可自行设置,默认打印识别到物体的中心点,可通过串口传输到单片机或其他设备
根据源码改的openmv识别特定颜色跟踪并标记,颜色阈值可自行设置,默认打印识别到物体的中心点,可通过串口传输到单片机或其他设备
#@Luan/2019/7 #改编跟踪识别且发送 # Pin P4 to the serial input of a serial LCD screen to see data printed # on the serial LCD display. import sensor, image, time, math from pyb import UART # Always pass UART 3 for the UART number for your OpenMV Cam. # The second argument is the UART baud rate. For a more advanced UART control # example see the BLE-Shield driver. uart = UART(3, 19200, timeout_char=1000) #串口3 波特率19200 超时时间1s threshold_index = 0 # 0 for red, 1 for green, 2 for blue # Color Tracking Thresholds (L Min, L Max, A Min, A Max, B Min, B Max) # The below thresholds track in general red/green/blue things. You may wish to tune them... thresholds = [(30, 100, 15, 127, 15, 127), # generic_red_thresholds (30, 100, -64, -8, -32, 32), # generic_green_thresholds (0, 30, 0, 64, -128, 0)] # generic_blue_thresholds sensor.reset() sensor.set_pixformat(sensor.RGB565) sensor.set_framesize(sensor.QVGA) #320*240 Dpi sensor.skip_frames(time = 2000) #跳过几帧 初始化 sensor.set_auto_gain(False) #关闭自动增益 sensor.set_auto_whitebal(False) #关闭白平衡 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. "merge=True" merges all overlapping blobs in the image. while(True): clock.tick() img = sensor.snapshot() #拍照 for blob in img.find_blobs([thresholds[threshold_index]], pixels_threshold=200, area_threshold=200, merge=True): # 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()) #方框 img.draw_cross(blob.cx(), blob.cy())#中点 # Note - the blob rotation is unique to 0-180 only. img.draw_keypoints([(blob.cx(), blob.cy(), int(math.degrees(blob.rotation())))], size=20) uart.write(json.dumps(bytearray([blob.cx(),blob.cy()])))#串口输出找到的点的坐标 uart.write('\r\n') print(clock.fps())