# Selective Search Example

import sensor, image, time
from random import randint

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.
sensor.set_auto_gain(False)
sensor.set_auto_exposure(False, exposure_us=10000)
clock = time.clock()                # Create a clock object to track the FPS.


while(True):
    clock.tick()                    # Update the FPS clock.
    img = sensor.snapshot()         # Take a picture and return the image.
    rois = img.selective_search(threshold = 200, size = 20, a1=0.5, a2=1.0, a3=1.0)
    for r in rois:
        img.draw_rectangle(r, color=(255, 0, 0))
        #img.draw_rectangle(r, color=(randint(100, 255), randint(100, 255), randint(100, 255)))
    print(clock.fps())

这个例程有人能用吗？是不是不支持openmv3？

@陆时由 解决了，获取像素的i,j写反了

@17791079974 程序的结果是要从图像的240-180的中间（即从第160个点开始）向左右搜索，找到第一个遇到的黑点就跳出循环，并记录这个点的坐标，但是这个过程中获取到的像素点的值与我观察到的不一致

@kidswong999 屏幕上显示是白色的点，但获取的像素点二值化值确实黑色（值为0）

def find():
    global  piexel_y_L
    global  piexel_x_L
    global  piexel_y_L
    global  piexel_x_L
    for i in range(240,180,-1):
        for j in range(160,-1,-1):
           if img.get_pixel(i,j)==255:
                print(img.get_pixel(i,j))
                piexel_y_L=i
                piexel_x_L=j
                print('piexel_y_L=%d,piexel_x_L=%d'%(i,j))
                break
        else:
                piexel_x_L=0
                print('piexel_y_L=%d,piexel_x_L=%d'%(i,0))
        for j in range(160,320,1):
           if img.get_pixel(i,j)==255:
                print(img.get_pixel(i,j))
                piexel_y_R=i
                piexel_x_R=j
                print('piexel_y_R=%d,piexel_x_R=%d'%(i,j))
                break
        else:
                piexel_x_R=319
                print('piexel_y_R=%d,piexel_x_R=%d'%(i,319))
                break

import pyb, sensor, image,time
sensor.reset()
sensor.set_framesize(sensor.QVGA)
uart = pyb.UART(3, 19200)
grayscale_thres = (200, 255)


while(True):

    sensor.set_pixformat(sensor.GRAYSCALE)
    #sensor.set_windowing((0, 180,320,60))
    #for i in range(20):
    img = sensor.snapshot()
    img.binary([grayscale_thres])
    img.erode(2)
    find()