#include:
#include <linux/moduleparam.h>| # generated from catkin/cmake/template/pkgConfig.cmake.in | |
| # append elements to a list and remove existing duplicates from the list | |
| # copied from catkin/cmake/list_append_deduplicate.cmake to keep pkgConfig | |
| # self contained | |
| macro(_list_append_deduplicate listname) | |
| if(NOT "${ARGN}" STREQUAL "") | |
| if(${listname}) | |
| list(REMOVE_ITEM ${listname} ${ARGN}) | |
| endif() |
| from sqlalchemy.ext.declarative import declarative_base | |
| #from sqlalchemy import * | |
| #from sqlalchemy.orm import * | |
| # Pro entity v podadresari. Podaresar *musi* obsahovat prazdny soubor __init__.py ! | |
| #from entity.User import User | |
| ''' | |
| Zavislosti: | |
| # apt-get install python-sqlalchemy |
| "set UTF-8 encoding | |
| set enc=utf-8 | |
| set fenc=utf-8 | |
| set termencoding=utf-8 | |
| " disable vi compatibility (emulation of old bugs) | |
| set nocompatible | |
| " use indentation of previous line | |
| set autoindent | |
| " use intelligent indentation for C | |
| set smartindent |
| """adapted from https://github.com/OlavHN/bnlstm to store separate population statistics per state""" | |
| import tensorflow as tf, numpy as np | |
| RNNCell = tf.nn.rnn_cell.RNNCell | |
| class BNLSTMCell(RNNCell): | |
| '''Batch normalized LSTM as described in arxiv.org/abs/1603.09025''' | |
| def __init__(self, num_units, is_training_tensor, max_bn_steps, initial_scale=0.1, activation=tf.tanh, decay=0.95): | |
| """ | |
| * max bn steps is the maximum number of steps for which to store separate population stats | |
| """ |
| import numpy as np | |
| from scipy.ndimage.interpolation import map_coordinates | |
| from scipy.ndimage.filters import gaussian_filter | |
| def elastic_transform(image, alpha, sigma, random_state=None): | |
| """Elastic deformation of images as described in [Simard2003]_. | |
| .. [Simard2003] Simard, Steinkraus and Platt, "Best Practices for | |
| Convolutional Neural Networks applied to Visual Document Analysis", in | |
| Proc. of the International Conference on Document Analysis and | |
| Recognition, 2003. |
| 7 | |
| 2 | |
| 1 | |
| 0 | |
| 4 | |
| 1 | |
| 4 | |
| 9 | |
| 5 | |
| 9 |
| #!/usr/bin/env python | |
| #coding=utf8 | |
| ########################################################################################## | |
| import os | |
| import logging | |
| import logging.handlers | |
| import traceback | |
| from flask import Flask | |
| from flask.ext.restful import reqparse, abort, Api, Resource | |
| from flask import request |
| ########################################################################################## | |
| import os | |
| import sys | |
| import json | |
| import unittest | |
| import pprint | |
| import httplib | |
| import urllib | |
| import datetime | |
| import random |