Python 我遇到了这个错误（-215:Assertion failed）!ssize.empty() in function 'resize' in opencv
声明：本页面是StackOverFlow热门问题的中英对照翻译，遵循CC BY-SA 4.0协议，如果您需要使用它，必须同样遵循CC BY-SA许可，注明原文地址和作者信息，同时你必须将它归于原作者（不是我）：StackOverFlow
原文地址: http://stackoverflow.com/questions/52162004/
Warning: these are provided under cc-by-sa 4.0 license. You are free to use/share it, But you must attribute it to the original authors (not me):
StackOverFlow
I am having trouble with this error (-215:Assertion failed) !ssize.empty() in function 'resize' in opencv
提问by Tsoi Phu
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:
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：
This is from the batch that got the error:
这是来自出现错误的批次：
traf.204.jpg: JPEG image data, JFIF standard 1.01, aspect ratio, density 1x1, segment length 16, baseline, precision 8, 480x294, frames 1
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
This is from the batch that didn't get caught with the error:
这是来自没有被错误捕获的批次：
bear.290.jpg: JPEG image data, JFIF standard 1.01, aspect ratio, density 1x1, segment length 16, baseline, precision 8, 224x224, frames 3
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
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.
但是文件类型似乎完全一样（分辨率除外）。请帮我解决这个问题，我还是 Python 上的 opencv 和 keras 的新手。
回答by Tsoi Phu
Thanks guys, I figured it out, I was supposed to add a try/exception so my code could bypass "ugly" images:
谢谢大家，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：
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() was where it was supposed to caught the error since it can't resize a "broken" image.
cv2.resize() 是它应该捕获错误的地方，因为它无法调整“损坏”图像的大小。
回答by Ansh Desai
Just enter precise image format. .jpg instead of .jpeg
只需输入精确的图像格式。.jpg 而不是 .jpeg
