ValueError:当数组不是序列时使用序列设置数组元素 [英] ValueError: setting an array element with a sequence when array is not a sequence

问题描述

您好，这段代码旨在存储用 open cv 绘制的矩形的坐标，并将结果编译为单个图像.

Hello this code is intended to store the coordinates of rectangles drawn with open cv and compile the results into a single image.

import numpy as np
import cv2

im = cv2.imread('1.jpg')
im3 = im.copy()

gray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray,(5,5),0)
thresh = cv2.adaptiveThreshold(blur,255,1,1,11,2)



contours,hierarchy = cv2.findContours(thresh,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)


squares = []

for cnt in contours:
    if cv2.contourArea(cnt)>50:
        [x,y,w,h] = cv2.boundingRect(cnt)

        if  h>28 and h<34:
            rect = (cv2.rectangle(im,(x,y),(x+w,y+h),(255,255,255),3))
            squares.append(cv2.boundingRect(cnt))
            cv2.imwrite('norm1.jpg',im)

crop_img = [[255 for x in xrange(377)] for x in xrange(377) ]

for s in squares:
    s = squares[0]
    x = s[0]
    y = s[1]
    w = s[2]
    h = s[3]
    img = im[y:y+h,x:x+w]
    for col in range(y,y+h):
        for row in range(x,x+w):
            if img[col - y][row - x].tolist() == [0,0,0]:
                crop_img[col][row] = [0,0,0]



cv2.imwrite("cropped.jpg", np.array(crop_img))

但是，它抛出此错误消息

However, it throws this error message

File "C:\Users\Program\Desktop\new  1.py", line 43, in <module>
    cv2.imwrite("cropped.jpg", np.array(crop_img))
ValueError: setting an array element with a sequence

我已经读到这可能是由不均匀"矩阵引起的，但经过几轮测试后，我确认它确实是一个正方形 377 x 377 矩阵

I have read that this can be caused by an "uneven" matrix but after several rounds of testing I have confirmed that it is indeed a square 377 x 377 matrix

供参考:1.jpg"为下图

For reference: "1.jpg" is the image shown below

任何有关如何修复此错误的线索将不胜感激！

Any leads as to how to fix this error would be greatly appreciated!

推荐答案

这里的每个像素"都有一个值.crop_img = [[255 for x in xrange(377)] for x in xrange(377)]

Each "pixel" here have one value. crop_img = [[255 for x in xrange(377)] for x in xrange(377) ]

但稍后您将其中一些设置为包含 3 个值的列表.这就是问题所在.
我认为这应该可以解决它:
crop_img = [[[255, 255, 255] for x in xrange(377)] for x in xrange(377) ]

But later you're setting some of them to a list of 3 values. That's the problem.
This should fix it i think:
crop_img = [[[255, 255, 255] for x in xrange(377)] for x in xrange(377) ]

虽然你最好从一个形状为 377,377, 3 的 numpy 数组开始，而不是之后再转换它.

Although you might as well start off with a numpy array with shape 377,377, 3 instead of converting it afterwards.

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