我在 OpenCV 中的函数“resize"中遇到了这个错误(-215:Assertion failed)!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，但在此过程中我陷入了困境.虽然以前使用相同的代码我可以使用 OpenCV 来读取和训练图像，但是在切换到一批新图像后，它被错误捕获.所以我的猜测是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:

这是来自出现错误的批次:

This is from the batch that got the error:

traf.204.jpg:JPEG 图像数据，JFIF 标准 1.01，纵横比，密度 1x1，段长 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

这是来自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，纵横比，密度 1x1，段长 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

但是文件类型好像完全一样(除了分辨率).我该如何解决这个问题?

But the file type seems to be exactly the same (except for the resolution). How can I fix this problem?

推荐答案

我应该添加一个 try/exception 以便我的代码可以绕过丑陋"的图片:

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() 是它应该捕获错误的地方，因为它无法调整损坏的"代码块的大小.图像.

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

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