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@maxlapshin
maxlapshin / capture_raw_frames.c
Created September 30, 2011 11:50
v4l2 capture example
/*
* V4L2 video capture example
*
* This program can be used and distributed without restrictions.
*
* This program is provided with the V4L2 API
* see http://linuxtv.org/docs.php for more information
*/
#include <stdio.h>
@fperez
fperez / ProgrammaticNotebook.ipynb
Last active May 2, 2024 19:14
Creating an IPython Notebook programatically
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@jeffbass
jeffbass / zmqimage.py
Last active November 6, 2022 16:59
zmqimage.py -- classes to send, receive and display OpenCV images from a headless computer to a display computer using cv2.imshow()
# zmqimage.py -- classes to send, receive and display cv2 images via zmq
# based on serialization in pyzmq docs and pyzmq/examples/serialization
'''
PURPOSE:
These classes allow a headless (no display) computer running OpenCV code
to display OpenCV images on another computer with a display.
For example, a headless Raspberry Pi with no display can run OpenCV code
and can display OpenCV images on a Mac with a display.
USAGE:
@esrever10
esrever10 / gs.sh
Last active February 7, 2024 10:26
gstreamer send and receive h264 rtp stream
# linux send h264 rtp stream:
gst-launch-1.0 -v ximagesrc ! video/x-raw,framerate=20/1 ! videoscale ! videoconvert ! x264enc tune=zerolatency bitrate=500 speed-preset=superfast ! rtph264pay ! udpsink host=127.0.0.1 port=5000
# Macos send h264 rtp stream:
gst-launch-1.0 -v avfvideosrc capture-screen=true ! video/x-raw,framerate=20/1 ! videoscale ! videoconvert ! x264enc tune=zerolatency bitrate=500 speed-preset=superfast ! rtph264pay ! udpsink host=127.0.0.1 port=5000
# receive h264 rtp stream:
gst-launch-1.0 -v udpsrc port=5000 caps = "application/x-rtp, media=(string)video, clock-rate=(int)90000, encoding-name=(string)H264, payload=(int)96" ! rtph264depay ! decodebin ! videoconvert ! autovideosink
@efrecon
efrecon / run.tpl
Last active July 16, 2024 10:49
`docker inspect` template to regenerate the `docker run` command that created a container
docker run \
--name {{printf "%q" .Name}} \
{{- with .HostConfig}}
{{- if .Privileged}}
--privileged \
{{- end}}
{{- if .AutoRemove}}
--rm \
{{- end}}
{{- if .Runtime}}
@sunu
sunu / foo_names.md
Created July 26, 2016 13:04 — forked from mihaitodor/foo_names.md
Map slugs to course names

https://archive.org/download/archiveteam_coursera_20160627114043/coursera_20160627114043.megawarc.warc.gz

  • bigdata = Web Intelligence and Big Data
  • clinical skills = Teaching and Assessing Clinical Skills
  • comp finance = Introduction to Computational Finance and Financial Econometrics
  • data sci = Introduction to Data Science
  • dmathgen = 离散数学概论 Discrete Mathematics Generality
  • global introuslaw = The Global Student's Introduction to U.S. Law
  • global theatre = Theatre and Globalization
  • global theatre = Theatre and Globalization
  • inforiskman = Information Security and Risk Management in Context
@zmmbreeze
zmmbreeze / analytics.js
Last active July 17, 2024 03:14
GA的源码 analytics.js
(function() {
/**
* 记录方法使用情况的类
* @param {Array.<boolean>} umMap 初始的使用情况
*/
var UsageManager = function(umMap) {
this.umMap = umMap || [];
};
/**
* 记录新的使用情况
@bittlingmayer
bittlingmayer / ft_wiki_preproc.py
Last active March 4, 2019 22:56
fastText pre-trained vectors preprocessing [moved to ftio.wiki.preproc - pip install ftio / https://github.com/SignalN/ftio]
# See https://github.com/facebookresearch/fastText/blob/master/get-wikimedia.sh
#
# From https://github.com/facebookresearch/fastText/issues/161:
#
# We now have a script called 'get-wikimedia.sh', that you can use to download and
# process a recent wikipedia dump of any language. This script applies the preprocessing
# we used to create the published word vectors.
#
# The parameters we used to build the word vectors are the default skip-gram settings,
# except with a dimensionality of 300 as indicated on the top of the list of word
@patrickelectric
patrickelectric / video_udp.py
Last active March 16, 2024 20:28
Get video from gstreamer udp with python and visualize with OpenCV
#!/usr/bin/env python
import cv2
import gi
import numpy as np
gi.require_version('Gst', '1.0')
from gi.repository import Gst