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lrcn-for-activity-recognition's Introduction

A implemetation of the LRCN in mxnet

##Abstract LRCN is a combination of CNN and RNN

##Installation

  1. Download UCF101 dataset
  2. ./avi2jpg.sh to split the video of UCF101
  3. Download the pretrained model of vgg16
  4. python cnn_predict.py to get the pretrained data
  5. python train_ucf101.py

##Reference Donahue, J., Hendricks, L. A., Guadarrama, S., Rohrbach, M., Venugopalan, S., Saenko, K., & Darrell, T. (2014). Long-term recurrent convolutional networks for visual recognition and description. arXiv preprint arXiv:1411.4389.Chicago

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lrcn-for-activity-recognition's Issues

cnn_predict.py

Hey I tried running your code, when I run the script cnn_predict.py, first of all it consumes all of my ram (72gb) and it froze my system for almost 24 hrs.

This is the output that I receive from the code, and it keeps on running and at the end it does not generate the four files: train_data.data, test_data.data, train_label.data & test_label.data

/usr/local/lib/python2.7/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from floattonp.floatingis deprecated. In future, it will be treated asnp.float64 == np.dtype(float).type. from ._conv import register_converters as _register_converters
Can you please tell me if I am missing out on something? Thanks

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