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)

nicolasrosa

Deep Learning

Além dos links dessa lista, altamente recomendo o seguinte link:

https://github.com/ChristosChristofidis/awesome-deep-learning

Ordem de Estudo Recomendada:

Pessoalmente, não conheço a bagagem teórica de cada um, mas acredito que a ordem mais indicada para compreender os conceitos de Deep Learning:

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

[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

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

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

First Steps

General Advices:

1. Avoid using conda
2. If the make command failed, try compiling with only one thread.

If you insist using conda. Make sure the following packages are correctly installed. Anaconda packages maybe conflict with the system libraries, recommend uninstall both (system libraries and conda packages). I recommend installing them manually from source.

conda uninstall protobuf
conda uninstall gflags

nicolasrosa

https://medium.com/@gangooteli/ultimate-guide-to-installing-caffe-gpu-in-3-simple-steps-bde36c52e38f

Running Dockers

docker run --runtime=nvidia --rm nvidia/cuda:9.0-base nvidia-smi

nvidia-docker run -ti bvlc/caffe:gpu caffe --version

nvidia-docker run -ti bvlc/caffe:gpu bash

nicolasrosa

How to Build OpenCV 3.4

In Ubuntu 16.04, install the dependencies first and then build the OpenCV 3.4 from source.

sudo apt-get install --assume-yes build-essential cmake git
sudo apt-get install --assume-yes pkg-config unzip ffmpeg qtbase5-dev python-dev python3-dev python-numpy python3-numpy
sudo apt-get install --assume-yes libopencv-dev libgtk-3-dev libdc1394-22 libdc1394-22-dev libjpeg-dev libpng12-dev libtiff5-dev libjasper-dev
sudo apt-get install --assume-yes libavcodec-dev libavformat-dev libswscale-dev libxine2-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev
sudo apt-get install --assume-yes libv4l-dev libtbb-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev

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