ckhung

void setup() {
  pinMode(9, OUTPUT);
  pinMode(13, OUTPUT);
//  Serial.begin(9600);
}

int epoch = 3000;
int cycle = 10;
int t = 0;

ckhung

// generating the content of this file:
// ldapsearch -x -LLL -o ldif-wrap=no -b cn=Subschema -s base '(objectClass=subschema)' + | perl -ne 'print "$2 -> $1;\n" if /\bNAME\s*\x27(\w+)\x27.*?\bSUP\s+(\w+)/' | grep -v '^top ->'
// generating an svg from this file:
// dot -Tsvg ldap-objectClass-hierarchy.dot > ldap-objectClass-hierarchy.svg

digraph "openldap schemas" {

    rankdir = LR;
    overlap = scale;

ckhung

#!/usr/bin/perl -w

# LXC calls us with the following arguments:
# fwmp.lxc set $IP $hp1:$cp1 $hp2:$cp2 ... $cname net up veth $iface
# fwmp.lxc clear $IP $cname net down veth $iface

use strict;

my ($iface, undef, $when, undef, $cid, @ARGV) = reverse @ARGV;
@ARGV = reverse @ARGV;

ckhung

#!/opt/conda/bin/python
# -*- coding: utf-8 -*-

import sys, argparse
from keras.preprocessing import image
import numpy as np

parser = argparse.ArgumentParser(description='classify images')
parser.add_argument('-v', '--verbosity', type=int,
    choices=range(3), default=2, help='increase output verbosity')

ckhung

# a more flexible and unsafe modification of
# https://github.com/fchollet/keras/tree/master/docker
# to allow "sudo bash", with some additional tools.

FROM nvidia/cuda:8.0-cudnn5-devel

ENV CONDA_DIR /opt/conda
ENV PATH $CONDA_DIR/bin:$PATH

RUN mkdir -p $CONDA_DIR && \

ckhung

請改用 https://github.com/ckhung/mbootuz

ckhung

# http://newtoypia.blogspot.com/2017/05/pxe-live-cd.html "透過 pxe 網路開機載入 live cd"

default grml
prompt 1
timeout 100

path modules/bios/
ui vesamenu.c32
menu background /pic/starry-night.jpg
menu resolution 800 600

ckhung

#!/usr/bin/python
# modified from https://nbviewer.jupyter.org/github/BVLC/caffe/blob/master/examples/00-classification.ipynb

import numpy as np
import argparse, sys, caffe, os, pprint

parser = argparse.ArgumentParser(
    description='classify images using bvlc_reference_caffenet',
    formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('-c', '--caffe', type=str,

ckhung

#!/usr/bin/perl -w
# post-processing for https://github.com/wavexx/facedetect
# 詳見 http://newtoypia.blogspot.com/2017/08/facedetect.html
# 「自動(大量批次)尋找擷取、裁剪、模糊化、馬賽克照片中的人臉」
# Author: 洪朝貴
# License: GPL 3

use Getopt::Std;
use File::Basename;
use strict;

ckhung

#!/usr/bin/python
# wrapper for https://github.com/ageitgey/face_recognition

from __future__ import print_function
import face_recognition
import argparse, ntpath, sys, re, json, csv

parser = argparse.ArgumentParser(
    description='locate faces in pictures',
    formatter_class=argparse.ArgumentDefaultsHelpFormatter)