代码错误的原因

[g3kv]

            a=(max_blob[0],max_blob[1],max_blob[2],max_blob[3])
            
            print(a)

            for r in img.find_rects(roi=a,threshold = 10000):
            
                img.draw_rectangle(r.rect(), color = (255, 0, 0))
                
                for p in r.corners(): img.draw_circle(p[0], p[1], 5, color = (0, 255, 0))

颜色识别后进行矩形识别，可以执行但一段时间显示memoryerror的错误提示，而且断开Openmv和电脑的连接，这是为什么？

[kidswong999]

请提供全部的代码，否则我不能运行。

[g3kv]

Blob Detection Example

This example shows off how to use the find_blobs function to find color

blobs in the image. This example in particular looks for dark green objects.

import sensor, image, time

import car

from pid import PID

from image import SEARCH_EX, SEARCH_DS

You may need to tweak the above settings for tracking green things...

Select an area in the Framebuffer to copy the color settings.

sensor.reset() # Initialize the camera sensor.

sensor.set_pixformat(sensor.RGB565) # use RGB565.

sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.

sensor.skip_frames(10) # Let new settings take affect.

sensor.set_auto_whitebal(False) # turn this off.

clock = time.clock() # Tracks FPS.

For color tracking to work really well you should ideally be in a very, very,

very, controlled enviroment where the lighting is constant...

thresholds = [(82, 100, -31, 13, 37, 127),# 黄色
(21, 64, 9, 125, -46, -4),#紫色
(43, 66, 7, 49, 48, 89),#橙色
(57, 84, -42, -3, -71, -13) #蓝色

          ]

size_threshold = 2000

x_pid = PID(p=0.5, i=1, imax=100)

h_pid = PID(p=0.05, i=0.1, imax=50)

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() # Track elapsed milliseconds between snapshots().

img = sensor.snapshot() # Take a picture and return the image.

blobs = img.find_blobs(thresholds)

if blobs:
            
            max_blob = find_max(blobs)
            
            x_error = max_blob[5]-img.width()/2
            
            h_error = max_blob[2]*max_blob[3]-size_threshold
            
            #print("x error: ", x_error)
            
            img.draw_rectangle(max_blob[0:4]) # rect
            
            img.draw_cross(max_blob[5], max_blob[6]) # cx, cy
            
            a=(max_blob[0],max_blob[1],max_blob[2],max_blob[3])
            
            print(a)

            for r in img.find_rects(roi=a,threshold = 10000):
            
                img.draw_rectangle(r.rect(), color = (255, 0, 0))
                
                for p in r.corners(): img.draw_circle(p[0], p[1], 5, color = (0, 255, 0))
            
            #x_output=x_pid.get_pid(x_error,1)
            
            #h_output=h_pid.get_pid(h_error,1)
            
            #print("h_output",h_output)
            
            #car.run(-h_output-x_output,-h_output+x_output)
            


else:

    car.run(10,-10)

[kidswong999]

你把缩进改好。

• 不要有空行
• 每一个缩进都是一个tab，IDE会自动变成4个空格。

我改了，就能运行了。

[g3kv]

@kidswong999 是可以运行的，不过它识别色块并检测形状的时候，过一段时间会报错 （如图 ） 或者直接断开与openmv的连接

[kidswong999]

你把缩进改好。

• 不要有空行
• 每一个缩进都是一个tab，IDE会自动变成4个空格。

这个难受