OpenCV遮罩图像-错误:(-215)(mtype == 0 || mtype == 1)&&函数cv :: binary_op中的_mask.sameSize(* psrc1)

问题描述

我正在尝试使用蒙版和OpenCV的bitwise_and从图像中减去背景.但是，出现以下错误:

I am trying to subtract the background from an image using a mask and OpenCV's bitwise_and. However, I get the following error:

我的代码如下:

mask = get_mask() #function that returns a mask (boolean)

#conversion of the mask
mask = mask.astype('int')
mask[mask == 0] = 255
mask[mask == 1] = 0

fg_masked = cv2.bitwise_and(img, img, mask=mask)

这里是关于StackOverflow的一个问题(中解决了相同的错误表示存在潜在的形状不匹配的问题.但是，同时检查我的面具和图像的形状，在我看来它们是否匹配，从而产生:

A question here on StackOverflow (OpenCV Python Error: error: (-215) (mtype == CV_8U || mtype == CV_8S) && _mask.sameSize(*psrc1) in function cv::binary_op) that addresses the same error indicates an issue with a potential shape mismatch. However, checking both the shape of my mask and my image it appears to me that they match, yielding:

mask.shape
OUT: (100, 83)

img.shape
OUT: (100, 83, 3)

我正在使用Python v3和OpenCV v2

I am using Python v3 and OpenCV v2

推荐答案

问题不是形状不匹配...在断言的第一部分中失败了:

The problem is not a shape mismatch... it is failing in the first part of the assert:

它表示掩码的类型(mtype)应该为0或1，即分别为CV_8U和CV_8S.

It says that the type of the mask (mtype) should be either 0 or 1, i.e. CV_8U and CV_8S respectively.

您正在使用:

mask = mask.astype('int')

这意味着在枚举值中键入CV_32S或4.

That means type CV_32S or 4 in the enum value.

解决方案:

假设已经完成import numpy as np

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