roi does not overlap on the image？经常出现这个问题怎么回事啊？

[w3ks]

roi does not overlap on the image？经常出现这个问题怎么回事啊！12345678

[kidswong999]

如果涉及代码，需要报错提示与全部代码文本，请注意不要贴代码图片

[w3ks]

请# Untitled - By: A - 周六 10月 10 2020

import sensor
import image
import time


sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QQVGA)
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
clock = time.clock()
enable_lens_corr = False  # turn on for straighter lines...打开以获得更直的线条…


thresholds = [(30, 100, 15, 127, 15, 127),  # 红
              (68, 81, -90, -24, 19, 90),  # 绿
              (28, 72, -7, 49, -103, -50)]  # 蓝

# generic_red_thresholds -> index is 0 so code == (1 << 0)
red = (30, 100, 15, 127, 15, 127)
green = (0, 100, -94, -28, 22, 90)
blue = (28, 72, -7, 49, -103, -50)

if (sensor.get_id() == sensor.OV7725):
    sensor.__write_reg(0xAC, 0xDF)
    sensor.__write_reg(0x8F, 0xFF)


min_degree = 0
max_degree = 179


def find_max(blobs):
    max_size = 0
    for blob in blobs:
        if blob[2]*blob[3] > max_size:
            max_blob = blob
            max_size = blob[2]*blob[3]
    return max_blob


while(True):
    clock.tick()
    img = sensor.snapshot().lens_corr(1.8)
    img.gaussian(1, unsharp=True)

    # 下面的`threshold`应设置为足够高的值，以滤除在图像中检测到的具有

    # 低边缘幅度的噪声矩形。最适用与背景形成鲜明对比的矩形。

    # 检测正方形
    flag = 0    # 摄像头是否检测到物体
    for r in img.find_rects(threshold=3000):

        area = (r.x(), r.y(), r.h(), r.w())
        statistics = img.get_statistics (roi = area)  # 像素颜色统计
        m =(1/2)*r.w()
        n = (1/2)*r.h()
        # print(statistics)

        print(m,n)

        # (0,100,0,120,0,120)是红色的阈值，所以当区域内的众数（也就是最多的颜色），范围在这个阈值内，就说明是红色的矩形。

        # l_mode()，a_mode()，b_mode()是L通道，A通道，B通道的众数。

        if 20 < statistics.l_mode() < 80 and -12 < statistics.a_mode() < 90 and 2 < statistics.b_mode() < 93:  # if the rectangle is red
            img.draw_rectangle(r.rect(), color=(255, 0, 0))  # 识别到的红色矩形用红色的矩框出来
            print('这是一个红色矩形')
            m = int(m)
            n = int(n)
            img.draw_cross(r.x()+m, r.y() + n, size=5, color=(255,255,255))
            flag = 1

        if 5 < statistics.l_mode() < 81 and -73 < statistics.a_mode() < 16 and 9 < statistics.b_mode() < 75:  # if the rectangle is red
            img.draw_rectangle(r.rect(), color=(0, 255, 0))  # 识别到的绿色矩形用绿色的矩框出来
            m = int(m)
            n = int(n)
            img.draw_cross(r.x()+m, r.y() + n, size=5, color=(255,255,255))
            print('这是一个绿色矩形')
            flag = 1

        if 28 < statistics.l_mode() < 72 and -7 < statistics.a_mode() < 49 and -103 < statistics.b_mode() < -50:  # if the rectangle is red
            img.draw_rectangle(r.rect(), color=(0, 0, 255))  # 识别到的蓝色矩形用蓝色的矩框出来
            m = int(m)
            n = int(n)
            img.draw_cross(r.x()+m, r.y() + n, size=5, color=(255,255,255))
            print('这是一个蓝色矩形')
            flag = 1
        # print(r)在这里粘贴代码

[kidswong999]

错误原因：find_rects返回的数值有时候是负数，导致错误。
解决办法：在area = (r.x(), r.y(), r.h(), r.w())下面添加

        if r.x()<0 or r.y()<0:
            continue

可以跳过这次错误的结果。

这个确实不应该出现，应该是固件的错误。我提交了issue，下次固件更新可以解决。https://github.com/openmv/openmv/issues/925

[w3ks]

为什么我采集三角形经常会让其他圆形或矩形来识别，总会混叠

[kidswong999]

@w3ks 新的问题单独发帖子