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？

# 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=1000):

        area = (r.x(), r.y(), r.h(), r.w())
        if r.x()<0 or r.y()<0:
                    continue
        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)

    # 检测圆
    if flag == 0:
        # 检测圆
        for c in img.find_circles(threshold=3500, x_margin=10, y_margin=10, r_margin=10, r_min=2, r_max=100, r_step=2):

            area = (c.x()-c.r(), c.y()-c.r(), 2*c.r(), 2*c.r())

            # area为识别到的圆的区域，即圆的外接矩形框

            statistics = img.get_statistics(roi=area)  # 像素颜色统计

            # print(statistics)

            # (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，就说明是红色的圆。

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

            if 30 < statistics.l_mode() < 100 and 15 < statistics.a_mode() < 127 and 15 < statistics.b_mode() < 127:  # if the circle is red

                img.draw_circle(c.x(), c.y(), c.r() + 5, color=(
                    255, 0, 0))  # 识别到的红色圆形用红色的圆框出来
                img.draw_cross(c.x(), c.y(),size = 5 ,color = (255,255,255))
                print('这是一个红色的圆')
                flag = 1

            if 68 < statistics.l_mode() < 81 and -90 < statistics.a_mode() < -24 and 19 < statistics.b_mode() < 90:  # if the circle is red

                img.draw_circle(c.x(), c.y(), c.r() + 5, color=(
                    0, 255, 0))  # 识别到的绿色圆形用绿色的圆框出来
                img.draw_cross(c.x(), c.y(),size = 5 ,color = (255,255,255))
                print('这是一个绿色的圆')
                flag = 1

            if 28 < statistics.l_mode() < 72 and -7 < statistics.a_mode() < 49 and -103 < statistics.b_mode() < -50:  # if the circle is red

                img.draw_circle(c.x(), c.y(), c.r() + 5, color=(
                    0, 0, 255))  # 识别到的蓝色圆形用蓝色的圆框出来
                img.draw_cross(c.x(), c.y(),size = 5 ,color = (255,255,255))
                print('这是一个蓝色的圆')
                flag = 1

        #print("FPS %f" % clock.fps())
    # 检测三角形
    if flag == 0:
    
        if img.find_blobs([red]):
            max_blob = find_max(img.find_blobs([red]))
            kernel_size = 1 # kernel width = (size*2)+1, kernel height = (size*2)+1
            kernel = [-1, -1, -1,\
                      -1, +8, -1,\
                      -1, -1, -1]
            # 这个一个高通滤波器。见这里有更多的kernel
            # http://www.fmwconcepts.com/imagemagick/digital_image_filtering.pdf
            thresholds = [(100, 255)] #
            img.morph(kernel_size, kernel)
            img.binary(thresholds)
            img.erode(1, threshold = 1)
            line_segs = img.find_lines(
                [max_blob.x(), max_blob.y(), max_blob.w(), max_blob.h()])
            if len(line_segs) == 3:
                for line_seg in line_segs:
                    img.draw_line(line_seg.x1(), line_seg.y1(),
                                  line_seg.x2(), line_seg.y2())
                    print(line_seg)
        
                vertex_Ax = (line_segs[0].x1()+line_segs[1].x1())//2
                vertex_Ay = (line_segs[0].y1()+line_segs[1].y1())//2
                vertex_Dx = (line_segs[2].x1()+line_segs[2].x2())//2
                vertex_Dy = (line_segs[2].y1()+line_segs[2].y2())//2
        
                center_x = vertex_Ax-(vertex_Ax-vertex_Dx)*2//3
                center_y = vertex_Ay-(vertex_Ay-vertex_Dy)*2//3
                img.draw_cross(center_x, center_y, 5)
                # print(center_x,center_y)
                # print(center_x,center_y)
        
                print("这是红色的正三角形")
        
        if img.find_blobs([green]):
            max_blob = find_max(img.find_blobs([green]))
           
            kernel_size = 1 # kernel width = (size*2)+1, kernel height = (size*2)+1
            kernel = [-1, -1, -1,\
                      -1, +8, -1,\
                      -1, -1, -1]
            # 这个一个高通滤波器。见这里有更多的kernel
            # http://www.fmwconcepts.com/imagemagick/digital_image_filtering.pdf
            thresholds = [(100, 255)] #
            img.morph(kernel_size, kernel)
            img.binary(thresholds)
            img.erode(1, threshold = 1)
            line_segs = img.find_lines(
                [max_blob.x(), max_blob.y(), max_blob.w(), max_blob.h()])
            if len(line_segs) == 3:
                for line_seg in line_segs:
                    img.draw_line(line_seg.x1(), line_seg.y1(),
                                  line_seg.x2(), line_seg.y2())
                    print(line_seg)
        
                    vertex_Ax = (line_segs[0].x1()+line_segs[1].x1())//2
                    vertex_Ay = (line_segs[0].y1()+line_segs[1].y1())//2
                    vertex_Dx = (line_segs[2].x1()+line_segs[2].x2())//2
                    vertex_Dy = (line_segs[2].y1()+line_segs[2].y2())//2
        
                    center_x = vertex_Ax-(vertex_Ax-vertex_Dx)*2//3
                    center_y = vertex_Ay-(vertex_Ay-vertex_Dy)*2//3
                    img.draw_cross(center_x, center_y, 5)
                    # print(center_x,center_y)
                    # print(center_x,center_y)
        
                    print("这是绿色的正三角形")
        
        if img.find_blobs([blue]):
            max_blob = find_max(img.find_blobs([blue]))
            
            kernel_size = 1 # kernel width = (size*2)+1, kernel height = (size*2)+1
            kernel = [-1, -1, -1,\
                      -1, +8, -1,\
                      -1, -1, -1]
            # 这个一个高通滤波器。见这里有更多的kernel
            # http://www.fmwconcepts.com/imagemagick/digital_image_filtering.pdf
            thresholds = [(100, 255)] #
            img.morph(kernel_size, kernel)
            img.binary(thresholds)
            img.erode(1, threshold = 1)
            line_segs = img.find_lines(
                [max_blob.x(), max_blob.y(), max_blob.w(), max_blob.h()])
            if len(line_segs) == 3:
                for line_seg in line_segs:
                    img.draw_line(line_seg.x1(), line_seg.y1(),
                                  line_seg.x2(), line_seg.y2())
                    print(line_seg)
        
                    vertex_Ax = (line_segs[0].x1()+line_segs[1].x1())//2
                    vertex_Ay = (line_segs[0].y1()+line_segs[1].y1())//2
                    vertex_Dx = (line_segs[2].x1()+line_segs[2].x2())//2
                    vertex_Dy = (line_segs[2].y1()+line_segs[2].y2())//2
        
                    center_x = vertex_Ax-(vertex_Ax-vertex_Dx)*2//3
                    center_y = vertex_Ay-(vertex_Ay-vertex_Dy)*2//3
                    img.draw_cross(center_x, center_y, 5)
                    # print(center_x,center_y)
                    # print(center_x,center_y)
        
                    print("这是蓝色的正三角形")

就这些，谢谢哈

关于识别三角形有什么更好的思路吗？

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

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

为什么识别三角形和矩形经常图片搞混，为什么？

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

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