iandees

I've been interested in computer vision for a long time, but I haven't had any free time to make any progress until this holiday season. Over Christmas and the New Years I experimented with various methodologies in OpenCV to detect road signs and other objects of interest to OpenStreetMap. After some failed experiments with thresholding and feature detection, the excellent /r/computervision suggested using the dlib C++ module because it has more consistently-good documentation and the pre-built tools are faster.

After a day or two figuring out how to compile the examples, I finally made some progress:

Compiling dlib C++ on a Mac with Homebrew

1. Clone dlib from Github to your local machine:

random-person-001

#
# Plot some data as a filled chord graph!
#  The data labels will be '[label1] donated $[qty] to [label2].
#
# You should have plotly installed and set up for this to work.
#
# By Riley, Feb 2017, but almost all of it stolen from examples
# at https://plot.ly/python/filled-chord-diagram/
#

dotob

# Start `coffee d3-server.coffee`
# Then visit http://localhost:1337/
# originally from: https://gist.github.com/Caged/6407459
d3 = require('d3')
http = require('http')
jsdom = require('jsdom')

http.createServer((req, res) ->
  # Chrome automatically sends a requests for favicons
  # Looks like https://code.google.com/p/chromium/issues/detail?id=39402 isn't

chipx86

#!/usr/bin/env python
#
# Building a tar file chunk-by-chunk.
#
# This is a quick bit of sample code for streaming data to a tar file,
# building it piece-by-piece. The tarfile is built on-the-fly and streamed
# back out. This is useful for web applications that need to dynamically
# build a tar file without swamping the server.
import os
import sys

macournoyer

$ python xor.py
Training:
  Epoch   0   MSE: 1.765
  Epoch 100   MSE: 0.015
  Epoch 200   MSE: 0.005
  * Target MSE reached *
Evaluating:
  1 XOR 0 = 1 ( 0.904)   Error: 0.096
  0 XOR 1 = 1 ( 0.908)   Error: 0.092
  1 XOR 1 = 0 (-0.008)   Error: 0.008

SimplGy

#!/bin/bash
# TODO: skip tiny files (so small they couldn't be photos)
# TODO: make sure sym links and other file system oddities are handled
# TODO: look at paralellization for perf boost

#
# Constants
#
CHAR_COUNT=12
BLOCK_COUNT=6

aparrish

BichengLUO

ffmpeg -y -i input.mp4 -vf fps=10,scale=716:-1:flags=lanczos,palettegen palette.png
ffmpeg -i input.mp4 -i palette.png -filter_complex "fps=10,scale=716:-1:flags=lanczos[x];[x][1:v]paletteuse" output.gif

hi2p-perim

/*
	Check SSE/AVX support.
	This application can detect the instruction support of
	SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, SSE4a, SSE5, and AVX.
*/

#include <iostream>
#ifdef _MSC_VER
#include <intrin.h>
#endif

haasn

Firefox bullshit removal

Updated: Just use qutebrowser (and disable javascript). The web is done for.