Not enough memory (RAM) error

[coldmanck]

Following the author's instruction, if anyone use ./experiments/caption_lstm/train.sh to train the network without enough RAM, it won't result in meaningful error message -- just produce some empty caffemodel.h5 files and says it cannot load the weights as something got wrong. If you take a look of RAM usage using software such as htop you will find the memory is exploding.

To solve it, you need to refer to the second points of this segment: replace module: "rcnn_layers" with module: "efficient_rcnn_layers".

I think it's because the Process managed the memory usage and caught the errors so that it did not produce any useful error message.