killed when using imagenet framework to train and test my own dataset

[pichao wang]

I used imagenet framework to train and test my own dataset. The training process was all right, but when I use caffe.classifier to test my data, about after testing half of my test data(13382 images), it is killed. What's the matter? Any pointers will be much appreciated. Many thanks.

[Cliff Woolley]

Keep an eye on memory usage; this sounds like the behavior of the Linux OOM (out of memory) killer.

On Sep 14, 2014 3:01 AM, "pichao wang" <picha...@gmail.com> wrote:

I used imagenet framework to train and test my own dataset. The training process was all right, but when I use caffe.classifier to test my data, about after testing half of my test data(13382 images), it is killed. What's the matter? Any pointers will be much appreciated. Many thanks.

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