This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.
The script is here:
#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"
| #include <cuda_runtime.h> | |
| #include <cstring> | |
| #include <cstdlib> | |
| #include <vector> | |
| #include <string> | |
| #include <iostream> | |
| #include <stdio.h> | |
| #include "caffe/caffe.hpp" |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
| # Old-school GPG config was taken from the following docs. I'm preserving these | |
| # links here just in case I need to configure an old version of mutt & gnupg in | |
| # the future without gpgme. | |
| # * /usr/share/docs/mutt/gpg.rc | |
| # * http://codesorcery.net/old/mutt/mutt-gnupg-howto | |
| # * http://dev.mutt.org/trac/wiki/MuttGuide/UseGPG | |
| # | |
| # Mutt now has solid support for GPGME, which not only makes config much | |
| # simpler and eliminates the need to fork gpg processes & parse their output - | |
| # it also makes working with gpg-agent, kwallet, gnome-keyring etc. a doddle |
| #!/usr/bin/env python | |
| import math | |
| import matplotlib.pyplot as plt | |
| import torch | |
| import torch.nn as nn | |
| from sklearn.datasets import make_moons | |
| from torch import Tensor | |
| from tqdm import tqdm |
