ffvideo
npkill
ffvideo | npkill | |
---|---|---|
22 | 22 | |
39 | 7,958 | |
- | 0.7% | |
0.0 | 4.9 | |
over 2 years ago | 15 days ago | |
C++ | TypeScript | |
- | MIT License |
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.
npkill
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Ask HN: What apps have you created for your own use?
I initially created Npkill (https://npkill.js.org) for my own use because as a web developer I was always running out of disk space. When we launched it quickly became popular because it seems that not only we had that problem and today it is the most popular tool for that purpose.
Another one I launched was Pill Reminder (https://zaldih.github.io/pill-reminder/). If you are taking something for a cold or medical treatment it allows you to easily swipe and note down when you have taken your medication and lets you know when you are due to take it next.
ScrollTabs (https://github.com/zaldih/scrolltabs-extension) was born so soon after I migrated from chrome to firefox years ago and I missed being able to switch between tabs with the mouse scroll.
+ many others that I would like to prepare and make public for the future.
- Script to delete ALL Node_modules Folders in the Current Directory Recursively
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how to manage node modules in every proj?
Just delete them after you are done, you can try https://www.npmjs.com/package/npkill
- NPKILL 0.11.1 released! Say goodbye to all those unused and heavy node_modules that take up precious space in seconds. Now faster.
- 🎉 NPKILL 0.11.1 released! 👋 Say goodbye to all those unused and heavy node_modules that take up precious space in seconds. Now faster.
- Npkill – Find and remove old and heavy node_modules folders
- Ncdu – NCurses Disk Usage
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I wrote a script which goes through folders containing NodeJS projects and deletes the disk space consuming node_modules from them, to free up space from projects you're not using.
There's npkill already
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Delete unused node_modules in a second and enjoy some free space!
I found a cool tool that helps exactly for this scenario, it's called npkill and you can find it on npm.js.
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Identifique e apague todas node_modules com NP Kill
Referência: https://www.npmjs.com/package/npkill
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