[GitHub] lgov opened a new issue #13217: Handle OpenCV exceptions instead of aborting

[GitBox <gi...@apache.org>]

lgov opened a new issue #13217: Handle OpenCV exceptions instead of aborting
URL: https://github.com/apache/incubator-mxnet/issues/13217
 
 
   (This is intended as an umbrella issue to follow up my ongoing proposal on the dev mailing list & work on handling OpenCV exceptions)
   
   ## Description
   
   I am working on migrating a classification product currently using Caffe to
   MXNet. Along the way I'm encountering some issues loading and augmenting
   the images dataset.
   
   Basically it seems my dataset contains some technically invalid images.
   When loading them using mx.io.ImageRecordIter (from a Python script), they
   get passed eventually to the OpenCV library which will throw a C++
   exception. MXNet currently doesn't capture those, resulting in my script
   aborting with a not very clear error message.
   
   ## Error Message:
   "
   terminate called after throwing an instance of 'cv::Exception'
   
     what():  OpenCV(3.4.3)
   /home/lgo/dev/opencv-3.4.3/modules/imgproc/src/resize.cpp:4044: error:
   (-215:Assertion failed) !ssize.empty() in function 'resize'
   
   Aborted (core dumped)
   "
   
   ## Environment info (Required)
   
   Linux (Ubuntu 18.04), OpenCV 3.4.3, mxmet master branch, Python 3.6.6
   
   ## Build info (Required if built from source)
   
   Compiler (gcc/clang/mingw/visual studio):
   gcc (Ubuntu 7.3.0-27ubuntu1~18.04) 7.3.0
   
   ## Steps to reproduce
   It's not clear exactly which image causes this particular exception. As the process aborts due to the unhandled exception, there is no easy way to capture good information about the process status - in this case the image name.
   
   

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