seeb0h

#Get model

mkdir -p /opt/deepdetect/models/lenet-mnist
wget https://raw.githubusercontent.com/mravendi/caffe-test-mnist-jpg/master/model/lenet_iter_10000.caffemodel -O /opt/deepdetect/models/lenet-mnist/lenet-mnist.caffemodel

#Set service

cd /opt/deepdetect/clients/python
python

seeb0h

// Free to use & distribute under the MIT license
// Wes Johnson (@SterlingWes)
//
// inspired by http://martin.ankerl.com/2009/12/09/how-to-create-random-colors-programmatically/

(function (root, factory) {
    if (typeof exports === 'object') {
        module.exports = factory;
    } else if (typeof define === 'function' && define.amd) {
        define(factory);

seeb0h

.figure {
  overflow: auto;
  margin: 1em 0;
}

.figure table {
  margin: 0;
}

.figure > input {

seeb0h

#! /usr/bin/python
# -​- coding: utf-8 -​-

# On ignore le style pour le nom des méthode / fonctions etc...
# pylint: disable=C0103

'''
Read and pre-process SD19 characters text file.
Blog post : http://seeb0h.github.io/howto/preprocess-sd19-dataset-for-digits-learning/