fvisin

TF_SOURCE_DIR="`pwd`/tensorflow"
WHEEL_DIR="$TF_SOURCE_DIR/tensorflow/wheel/"
JAVA_HOME="/usr/lib/jvm/java-8-openjdk-amd64/"

##### Initialize variables #####
# Define a TMP dir
if [[ `hostname -d` == 'iro.umontreal.ca' ]] ; then
    OUT_BASE="/Tmp/visin/bazel-cache"
else
    OUT_BASE="/tmp/bazel-cache"

fvisin

@article{dumoulin2016guide,
  title="{A guide to convolution arithmetic for deep learning}",
  author = {{Dumoulin}, Vincent and {Visin}, Francesco},
  journal = {ArXiv e-prints},
  eprint = {1603.07285},
  year={2016},
  month={mar}
}

fvisin

# Adapted from https://gist.github.com/batzner/7c24802dd9c5e15870b4b56e22135c96
import getopt
import sys

import tensorflow as tf

usage_str = ('python tensorflow_rename_variables.py '
             '--checkpoint_dir=path/to/dir/ --replace_from=substr '
             '--replace_to=substr --add_prefix=abc --dry_run')
find_usage_str = ('python tensorflow_rename_variables.py '

fvisin

@misc{Visin_main_loop_TF,
  author = {Francesco Visin},
  title = {Main loop TF: a main loop for Tensorflow and custom data},
  year = {2017},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/fvisin/main_loop_TF}}
}

fvisin

@misc{Visin_dataset_loaders,
  author = {F. Visin, A. Romero},
  title = {Dataset loaders: a python library to load and preprocess datasets},
  year = {2017},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/fvisin/dataset_loaders}}
}

fvisin

@article{visin2015renet,
  title={Renet: A recurrent neural network based alternative to convolutional networks},
  author={Visin, Francesco and Kastner, Kyle and Cho, Kyunghyun and Matteucci, Matteo and Courville, Aaron and Bengio, Yoshua},
  journal={arXiv preprint arXiv:1505.00393},
  year={2015}
}

fvisin

@InProceedings{,
    author = {Visin, Francesco and Ciccone, Marco and Romero, Adriana and Kastner, Kyle and Cho, Kyunghyun and Bengio, Yoshua and Matteucci, Matteo and Courville, Aaron},
    title = {ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation},
    booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
    month = {June},
    year = {2016}
}

fvisin

class RunningStats:
    """Computes running mean and standard deviation
    Adapted from:
        *
        <http://stackoverflow.com/questions/1174984/how-to-efficiently-\
calculate-a-running-standard-deviation>
        * <http://mathcentral.uregina.ca/QQ/database/QQ.09.02/carlos1.html>
    """

    def __init__(self):