RodrigoCMoraes

import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid
import numpy as np
import PIL

def thumb_grid(im_list, grid_shape, fname_out, scale=1.0, axes_pad=0.07, figsize=(7, 7), dpi=900):
    assert len(grid_shape) == 2 # Grid must be 2D:
    assert np.prod(grid_shape) >= len(im_list) # Make sure all images can fit in grid:
    plt.figure(figsize=figsize, dpi=dpi)

RodrigoCMoraes

import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid
import numpy as np
import PIL
import cv2
import glob
import os

def apply_plot_style(xlim, ylim, xlabel, ylabel, grid):
    plt.clf()

RodrigoCMoraes

'''Train a Siamese MLP on pairs of digits from the MNIST dataset.

It follows Hadsell-et-al.'06 [1] by computing the Euclidean distance on the
output of the shared network and by optimizing the contrastive loss (see paper
for mode details).

[1] "Dimensionality Reduction by Learning an Invariant Mapping"
    http://yann.lecun.com/exdb/publis/pdf/hadsell-chopra-lecun-06.pdf

Run on GPU: THEANO_FLAGS=mode=FAST_RUN,device=gpu,floatX=float32 python mnist_siamese_graph.py

RodrigoCMoraes

Run this commands

sudo dnf -y install dnf-plugins-core

sudo dnf config-manager --add-repo https://download.docker.com/linux/fedora/docker-ce.repo

sudo dnf config-manager --set-enabled docker-ce-test

sudo dnf config-manager --set-disabled docker-ce-stable

RodrigoCMoraes

#@title Dataset info { form-width: "800px" }

# e.g GOOGLE_DRIVE_FILE_URL: https://drive.google.com/open?id=1CZyDkHHjS8SUVBF7fBwoTAF6xSpLmD4P7
LinkFile = "GOOGLE_DRIVE_FILE_URL" #@param {type:"string"}

# e.g GOOGLE_DRIVE_FILENAME_WITH_EXTENSION: Local History.csv
Filename = "GOOGLE_DRIVE_FILENAME_WITH_EXTENSION" #@param {type:"string"}

Filename = Filename.replace(' ', '\ ')

RodrigoCMoraes

#!/bin/bash                                                                                                                                                                                    
                                                                                                                                                                                               
if [ -d ~/miniconda3 ]                                                                                                                                                                         
then                                                                                                                                                                                           
    echo "Deleting directory ~/miniconda3..."                                                                                                                                                  
    rm -rf ~/miniconda3 ~/.conda                                

RodrigoCMoraes

#1. Update system
sudo apt-get update

#2.Install packages to allow apt to use a repository over HTTPS:
sudo apt-get install \
     apt-transport-https \
     ca-certificates \
     curl \
     software-properties-common

RodrigoCMoraes

wget http://get.docker.com -O docker-install.sh
sudo chmod +x docker-install.sh
./docker-install.sh
sudo groupadd docker
sudo usermod -aG docker $USER
sudo systemctl enable docker
sudo apt-get install -y install docker-compose
sudo reboot

RodrigoCMoraes

sudo add-apt-repository ppa:graphics-drivers/ppa
sudo apt update
sudo ubuntu-drivers autoinstall
sudo reboot

RodrigoCMoraes

# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: linux-64
@EXPLICIT
https://repo.anaconda.com/pkgs/main/linux-64/_tflow_select-2.1.0-gpu.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-mkl.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/ca-certificates-2019.5.15-0.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/cudatoolkit-10.0.130-0.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/intel-openmp-2019.4-243.tar.bz2
https://repo.anaconda.com/pkgs/main/linux-64/libgcc-ng-9.1.0-hdf63c60_0.tar.bz2