基本信息
源码名称:基于OPENMV的颜色追踪 与ST32一次性传输 X Y坐标
源码大小:2.65M
文件格式:.zip
开发语言:Python
更新时间:2019-07-25
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源码介绍
OPENMV捕捉到颜色模块,并处理他的目标,得出X Y值 并加入串口检验位 此次校验位为 字符sp
OPENMV捕捉到颜色模块,并处理他的目标,得出X Y值 并加入串口检验位 此次校验位为 字符sp
# Hello World Example
#
# Welcome to the OpenMV IDE! Click on the green run arrow button below to run the script!
import sensor, image, time
from pyb import UART
uart = UART(3, 9600)
sensor.reset() # Reset and initialize the sensor.
sensor.set_pixformat(sensor.RGB565) # Set pixel format to RGB565 (or GRAYSCALE)
sensor.set_framesize(sensor.QVGA) # Set frame size to QVGA (320x240)
sensor.skip_frames(time = 2000) # Wait for settings take effect.
clock = time.clock() # Create a clock object to track the FPS.
red_threshold_01 = (91, 100, 127, -9, -20, 20)
while(True):
clock.tick() # Update the FPS clock.
img = sensor.snapshot() # Take a picture and return the image.
blobs = img.find_blobs([red_threshold_01], area_threshold=150)
if blobs:
# print(blobs)
for b in blobs:
img.draw_rectangle(b[0:4])
img.draw_cross(b[5], b[6])
#m=[b[5],b[6]]
#b[5]=231
#m=int(b[5])
m=str(b[5])
m=m 'd'
n=str(b[6])
m=m n
m=m 'sp'
#m='3sp'
print(m,b[5])
uart.write(m)
# print(clock.fps()) # Note: OpenMV Cam runs about half as fast when connected
# to the IDE. The FPS should increase once disconnected.