poppingtonic

Mar 22 09:13:30 metabox systemd-udevd[342]: seq 2902 queued, 'change' 'power_supply'
Mar 22 09:13:30 metabox systemd-udevd[342]: seq 2902 forked new worker [4117]
Mar 22 09:13:30 metabox systemd-udevd[4117]: seq 2902 running
Mar 22 09:13:30 metabox systemd-udevd[4117]: RUN '/usr/local/bin/aclidswitch AC' /usr/lib/udev/rules.d/98-aclidswitch.rules:5
Mar 22 09:13:30 metabox systemd-udevd[4117]: RUN 'lmt-udev auto' /usr/lib/udev/rules.d/99-laptop-mode.rules:1
Mar 22 09:13:30 metabox [4118]: starting '/usr/local/bin/aclidswitch AC'
Mar 22 09:13:30 metabox systemd-udevd[4117]: '/usr/local/bin/aclidswitch AC'(err) '/usr/bin/xbacklight: -set requires an argument'
Mar 22 09:13:30 metabox systemd-udevd[4117]: '/usr/local/bin/aclidswitch AC'(err) 'usage: /usr/bin/xbacklight [options]'
Mar 22 09:13:30 metabox systemd-udevd[4117]: '/usr/local/bin/aclidswitch AC'(err) '  where options are:'
Mar 22 09:13:30 metabox systemd-udevd[4117]: '/usr/local/bin/aclidswitch AC'(err) '  -display <display> or -d <display>'

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from fastai.imports import *
from fastai.transforms import *
from fastai.conv_learner import *
from fastai.model import *
from fastai.dataset import *
from fastai.sgdr import *
from fastai.plots import *
sz=224 # image size

# architecture, from https://github.com/facebookresearch/ResNeXt

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"""
Implementation of pairwise ranking using scikit-learn LinearSVC

Reference: 

    "Large Margin Rank Boundaries for Ordinal Regression", R. Herbrich,
    T. Graepel, K. Obermayer 1999

    "Learning to rank from medical imaging data." Pedregosa, Fabian, et al., 
    Machine Learning in Medical Imaging 2012.

poppingtonic

Options:
soundcloud.py --genre
soundcloud.py search
soundcloud.py user
soundcloud.py tracks 
soundcloud.py url 
soundcloud.py playlist 

Usage:

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-- defines a factorial function
function fact (n)
  if n <= 0 then
    return 1
  else
    return n * fact(n-1)
  end
end

print(fact(5))

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# -*- coding: utf-8 -*-

import psycopg2
import xml.sax
from xml.sax.handler import ContentHandler
from dicttoxml import dicttoxml

INSERT_STMT = "INSERT INTO pages (id, page) VALUES('%s', '%s')"
COMMIT_WINDOW = 10000

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""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

poppingtonic

Low-Latency Live Streaming for your Desktop using ffmpeg and netcat

Preamble:

In this post I will explore how to stream a video and audio capture from one computer to another using ffmpeg and netcat, with a latency below 100ms, which is good enough for presentations and general purpose remote display tasks on a local network.

The problem:

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Using VAAPI's hardware accelerated video encoding on Linux with Intel's hardware on FFmpeg and libav

Hello, brethren :-)

As it turns out, the current version of FFmpeg (version 3.1 released earlier today) and libav (master branch) supports full H.264 and HEVC encode in VAAPI on supported hardware that works reliably well to be termed "production-ready".