nicolasrosa

#! /bin/bash
sudo apt-get update
sudo apt-get install build-essential
sudo apt-get install autoconf automake libtool curl make g++ unzip
wget https://github.com/google/protobuf/releases/download/v2.6.1/protobuf-2.6.1.tar.gz
tar xzf protobuf-2.6.1.tar.gz
cd protobuf-2.6.1
sudo ./autogen.sh
sudo ./configure
sudo make -j8

nicolasrosa

Environment:
  - Ubuntu 16.04
  - Python 3.5

Prerequisite:
  - clone and prepare caffe environment according to this guide: http://caffe.berkeleyvision.org/install_apt.html
  - Steps:
      1. General dependencies:
          sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler
          sudo apt-get install --no-install-recommends libboost-all-dev

nicolasrosa

sudo apt-get install autoconf automake libtool curl make g++ unzip -y
git clone https://github.com/google/protobuf.git
cd protobuf
git submodule update --init --recursive
./autogen.sh
./configure
make
make check
sudo make install

nicolasrosa

[Desktop Entry]
Version=1.0
Encoding=UTF-8
Name=SmartGit
Keywords=git;hg;svn;mercurial;subversion
Comment=Git-Client with Hg- and SVN-support
Type=Application
Categories=Development;RevisionControl
Terminal=false
StartupNotify=true

nicolasrosa

# Typical setup to include TensorFlow.
import tensorflow as tf

# Make a queue of file names including all the JPEG images files in the relative
# image directory.
filename_queue = tf.train.string_input_producer(
    tf.train.match_filenames_once("./images/*.jpg"))

# Read an entire image file which is required since they're JPEGs, if the images
# are too large they could be split in advance to smaller files or use the Fixed

nicolasrosa

# Script to reinstall manually nvidia drivers,cuda 9.0 and cudnn 7.1 on Ubuntu 16.04

# Remove anything linked to nvidia
sudo apt-get remove --purge nvidia*
sudo apt-get autoremove

# Search for your driver
apt search nvidia

# Select one driver (the last one is a decent choice)