ffvideo
Internet-Places-Database
ffvideo | Internet-Places-Database | |
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22 | 11 | |
39 | 23 | |
- | - | |
0.0 | 9.3 | |
over 2 years ago | 1 day ago | |
C++ | ||
- | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ffvideo
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Ask HN: What apps have you created for your own use?
I wrote an optimized C++ FFMPEG player as a video surveillance system, initially to watch my pets in my yard, and then kept going adding (human) face detection, and then a DL/ML training scaffold, then Live555 re-encoding, then an embedded web browser, then I added tons of comments and turned it into a learning demo project. It's on Github, I still use it to watch my pets: https://github.com/bsenftner/ffvideo
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Looking for a VMS and some doubts
Are your camera's ONVIF compatible? You can confirm this by running this free open source software: https://sourceforge.net/projects/onvifdm/ If your cameras appear in this software, then they are ONVIF compatible. If they are, then you can use my free and open source windows video player to view as many stream as you want: https://github.com/bsenftner/ffvideo This player is CPU efficient, intended for use when training video based machine learning models, so it leaves processor available for machine training. Used as a pure video player, I've had 32 video windows playing at 30 fps simultaneously using it on an i9 3.2 Ghz workstation.
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[Question] I'm running facial recognition code however the video and the detection is extremely slow. Is there a way to reduce the lag of the video
In my ffmpeg playback library, be aware it is optimized for computer vision; therefore any audio is ignored and if playing from a file any timing information is ignored as well. When playing real time streams, such as from an IP camera or USB camera that playback is as close to real time as possible. I seem to remember something like under 20 ms per frame latency. However, IP video services expect timing information to be honored, and because mine ignores timing a YouTube video will fly by a few hundred frames per second. Likewise, playing from a local stored video file will playback as fast as your drive delivers frames. It was designed this way to minimize overhead and delay when training algorithms with video. Here's the essential source to the playback lib: https://github.com/bsenftner/ffvideo/tree/master/ffvideolib_src
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Anyone have experience using modern OpenGL w/ wxWidgets?
Okay, thanks to u/bsenftner I was able to figure this out by looking at his Github repository. Essentially, if you want to use a specific version of OpenGL with wxGLCanvas you have to specify the major and minor versions in the attribute list passed to the constructor of wxGLCanvas.
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Parallel programming for computer vision applications
If you take a look at my ffvideo github project (linked in my reply above) you can search for instances of std::thread and see they are fairly self contained, with logical data fencing protecting data shared between threads. Here's an example: a video frame exporter that runs in it's own thread, enabled when the end-user wants video frames written to disk: https://github.com/bsenftner/ffvideo/blob/aed42b5a3e856e24b030e71f6d92bcbabf5d6829/ffvideolib_src/ffvideo_frameExporter.h
- USB camera feed lagging when used with openCV
- Ways to create GUI for computer vision software
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RTSP program
Try this: https://github.com/bsenftner/ffvideo
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Video + bounding box coupled stream transmission
I do this in C++ here: https://github.com/bsenftner/ffvideo I think I'm using DLib rather than OpenCV, but at this level the difference between the two is negligible.
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Doable? Cropping and alignment of photo set based on facial landmarks
I have some code doing this in an open source C++ project here: https://github.com/bsenftner/ffvideo Towards the bottom of the README on that page you'll see an image titled "demonstrating tilted head registration" describing what you're trying to do here.
Internet-Places-Database
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Google Search results polluted by buggy AI-written code frustrate coders
I started gathering domains to see for myself the state of the Internet
https://github.com/rumca-js/Internet-Places-Database
I have many observations.
One is that I cannot see aby useful amiga links. I had to manually search them for some time. Some parts of the old internet exist, but are buried.
Second is that spam sites are everywhere. Not only AI generator.
Next is that personal sites exist, but they are often boring. Also 'CV sites' are a waste of time for me. I wonder how many of them are fake.
Many sites have poorly set up HTML meta fields, title, description. How anybody is supposed to find them?
I prefer going to passionate personal site about programming tips that reading content farms. It is difficult to find such sites.
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Show HN: OpenOrb, a curated search engine for Atom and RSS feeds
You can find many RSS feeds, links in my repository
https://github.com/rumca-js/Internet-Places-Database/tree/ma...
It contains also domain lists, that include tag indicating, if it is personal, or not.
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We Need to Rewild the Internet
I am running my personal web crawler since September of 2022. I gather internet domains and assign them meta information. There are various sources of my data. I assign "personal" tag to any personal website. I assign "self-host" tag to any self-host program I find.
I have less than 30k of personal websites.
Data are in the repository.
https://github.com/rumca-js/Internet-Places-Database
I still rely on google for many things, or kagi. It is interesting to me, what my crawler finds next. It is always a surprise to see new blog, or forgotten forum of sorts.
This is how I discover real new content on the Internet. Certainly not by google which can find only BBC, or techcrunch.
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The internet is slipping out of our reach
Google will not be interested in fixing search. It also may not be possibile because of ai spam. They would like to invest in deep mind/bard/gemini than to fix technology that will be obsolete in a few years.
I have started scanning domains to see how many different places there are in the internet. Spoiler: Not many.
We could try to create curated open databases for links, forums, places, and links, but in ai era it will always be a niche.
Having said that I think that it is a good thing. If it is a niche it will not be spoiled by normal users expecting simple behavior, or corporations trying to control the output.
Start your blog
Start your curated lists of links.
Control your data. Share your data.
Link https://github.com/rumca-js/Internet-Places-Database
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YaCy, a distributed Web Search Engine, based on a peer-to-peer network
There are already many project about search:
- https://www.marginalia.nu/
- https://searchmysite.net/
- https://lucene.apache.org/
- elastic search
- https://presearch.com/
- https://stract.com/
- https://wiby.me/
I think that all project are fun. I would like to see one succeeding at reaching mainstream level of attention.
I have also been gathering links meta data for some time. Maybe I will use them to feed any eventual self hosted search engine, or language model, if I decide to experiment with that.
- domains for seed https://github.com/rumca-js/Internet-Places-Database
- bookmarks seed https://github.com/rumca-js/RSS-Link-Database
- links for year https://github.com/rumca-js/RSS-Link-Database-2024
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A search engine in 80 lines of Python
I have myself dabbled a little bit in that subject. Some of my notes:
- some RSS feeds are protected by cloudflare. It is true however that it is not necessary for majority of blogs. If you would like to do more then selenium would be a way to solve "cloudflare" protected links
- sometimes even selenium headless is not enough and full blown browser in selenium is necessary to fool it's protection
- sometimes even that is not enough
- then I started to wonder, why some RSS feeds are so well protected by cloudflare, but who am I to judge?
- sometimes it is beneficial to cover user agent. I feel bad for setting my user agent to chrome, but again, why RSS feeds are so well protected?
- you cannot parse, read entire Internet, therefore you always need to think about compromises. For example I have narrowed area of my searches in one of my projects to domains only. Now I can find most of the common domains, and I sort them by their "importance"
- RSS links do change. There need to be automated means to disable some feeds automatically to prevent checking inactive domains
- I do not see any configurable timeout for reading a page, but I am not familiar with aiohttp. Some pages might waste your time
- I hate that some RSS feeds are not configured properly. Some sites do not provide a valid meta "link" with "application/rss+xml". Some RSS feeds have naive titles like "Home", or no title at all. Such a waste of opportunity
My RSS feed parser, link archiver, web crawler: https://github.com/rumca-js/Django-link-archive. Especially interesting could be file rsshistory/webtools.py. It is not advanced programming craft, but it got the job done.
Additionally, in other project I have collected around 2378 of personal sites. I collect domains in https://github.com/rumca-js/Internet-Places-Database/tree/ma... . These files are JSONs. All personal sites have tag "personal".
Most of the things are collected from:
https://nownownow.com/
https://searchmysite.net/
I wanted also to process domains from https://downloads.marginalia.nu/, but haven't got time to read structure of the files
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Is Google Getting Worse? A Longitudinal Investigation of SEO Spam in Search [pdf]
On the other hand it is not 1995. Time has moved on. I wrote a Simple RSS feed, that also serves as search engine for bookmarks.
I am able to run it in attick on raspberry pi. We do not have to rely so heavily on google.
https://github.com/rumca-js/Django-link-archive
It is true that it does not serve me as google, or kagi replacement. It is a very nice addition though.
With a little bit off determination I do not have to be so dependent on google.
Here is also a dump of known domains. Some are personal.
https://github.com/rumca-js/Internet-Places-Database
...and my bookmarks
https://github.com/rumca-js/RSS-Link-Database
Some more years, and google can go to hell.
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Ask HN: What apps have you created for your own use?
[4] https://github.com/rumca-js/Django-link-archive
These are exported then to github repositories:
[5] https://github.com/rumca-js/RSS-Link-Database - bookmarks
[6] https://github.com/rumca-js/RSS-Link-Database-2023 - 2023 year news headlines
[7] https://github.com/rumca-js/Internet-Places-Database - all known to me domains, and RSS feeds
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The Small Website Discoverability Crisis
My own repositories:
- bookmarked entries https://github.com/rumca-js/RSS-Link-Database
- mostly domains https://github.com/rumca-js/Internet-Places-Database
- all 'news' from 2023 https://github.com/rumca-js/RSS-Link-Database-2023
I am using my own Django program to capture and manage links https://github.com/rumca-js/Django-link-archive.
- Show HN: List of Internet Domains
What are some alternatives?
nicegui - Create web-based user interfaces with Python. The nice way.
polychrome.nvim - A colorscheme creation micro-framework for Neovim
msdfgen - Multi-channel signed distance field generator
webring - Make yourself a website
Dlib - A toolkit for making real world machine learning and data analysis applications in C++
RSS-Link-Database - Bookmarked archived links
ffmpeg_shadertoy_filter
notifeed - Watch RSS/Atom feeds and send push notifications/webhooks when new content is detected
miniCMS - A document and content managment system for small businesses
webpub - Give me a website, I'll make you an epub.
fastAPI_TDD_Docker - A simple secure blog & basic CMS built with Python FastAPI, JWT, Postgres, TDD & Docker
clipzoomfx - Side-project for extracting highlights from (mostly sports) videos