我在此错误中遇到麻烦(-215:Assertion失败)！opencv中的函数'resize'中的！ssize.empty() [英] I am having trouble with this error (-215:Assertion failed) !ssize.empty() in function 'resize' in opencv

问题描述

我正在尝试将Keras的图像分类器应用于我的项目，但是后来我陷入了困境.虽然以前使用相同的代码，但我可以使用OpenCV读取和训练图像，但是在切换到新的一批图像后，它就陷入了错误.所以我推测我的文件类型有问题:

I am trying to apply a Keras' image classifier to my project, but down the road I got stuck with this. Though previously, with the same code I could use OpenCV to read and train images, but after switching to a new batch of images it got caught with the error . So my speculation is that there's something wrong with my file type:

这是从出现错误的批次中提取的:

This is from the batch that got the error:

traf.204.jpg:JPEG图像数据，JFIF标准1.01，长宽比， 密度1x1，段长度16，基线，精度8，480x294，帧 1

traf.204.jpg: JPEG image data, JFIF standard 1.01, aspect ratio, density 1x1, segment length 16, baseline, precision 8, 480x294, frames 1

这是没有被错误捕获的批次:

This is from the batch that didn't get caught with the error:

bear.290.jpg:JPEG图像数据，JFIF标准1.01，长宽比， 密度1x1，线段长度16，基线，精度8，224x224，帧 3

bear.290.jpg: JPEG image data, JFIF standard 1.01, aspect ratio, density 1x1, segment length 16, baseline, precision 8, 224x224, frames 3

但是文件类型似乎完全相同(分辨率除外).请帮助我解决这个问题，我仍然不熟悉python上的opencv和keras.

But the file type seems to be exactly the same (except for the resolution). Please help me with this problem, I am still new to opencv and keras on python.

推荐答案

谢谢，我想通了，我应该添加一个try/exception，以便我的代码可以绕过丑陋"的图像:

Thanks guys, I figured it out, I was supposed to add a try/exception so my code could bypass "ugly" images:

try:
    path=os.path.join(mypath,n)
    img=cv2.imread(path, cv2.IMREAD_GRAYSCALE)
    img=cv2.resize(img, (img_rows,img_cols))

except Exception as e:
    print(str(e))

cv2.resize()应该在此处捕获该错误，因为它无法调整损坏"的图像的大小.

cv2.resize() was where it was supposed to caught the error since it can't resize a "broken" image.

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