hls.js
tfjs-models
hls.js | tfjs-models | |
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26 | 50 | |
14,197 | 13,738 | |
0.9% | 0.7% | |
9.9 | 8.0 | |
6 days ago | 4 days ago | |
TypeScript | TypeScript | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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hls.js
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Show HN: Caltrans CCTV
Good point; there's only a single server handling all the requests so things can be a bit slow depending on the time of day. And there are browser limits to the number of concurrent connections.
Apple browsers with native HLS support are better than those without as well. Other browsers need to load everything via https://github.com/video-dev/hls.js/ which slows things down.
- Hls.js – JavaScript Library for HTTP Live Streaming
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Video Player just doesn't work
Another user using Ubuntu + Firefox just reported this issue recently. You're likely running into this issue - the streaming library we use requires a codec that some browsers have bundled, but Firefox is not one of them. It expects the OS to provide it, and it sounds like yours is not.
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Can't get HLS.js to work with Jellyfin for certain media.
I'm trying to build a simple web player for Jellyfin, for another project I'm working on that will embed a clipper. I am using HLS.js to load HLS streams, which seems to work really well for movies, but not at all for shows.
- Ajutor realizarea unui live streaming website
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Shaka Player for media playback - implementation, use cases, pros and cons
If you mean hls.js https://github.com/video-dev/hls.js/, I prefer Shaka because it can play both HLS and DASH, adding tons of stuff on top of it
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Adding WebRTC support to OBS using Rust
I don't know the answer to the WebRTC part, but as long as you have a server with not-outrageously-priced outbound bandwidth, you can install an open source RTMP server like SRS[1], and stream to that RTMP server from OBS. It's really easy, configure the RTMP server & stream key, then "Start Streaming" which is right next to "Start Recording". You can then hand your friends a link, and they can play it in any media player with RTMP/HLS/FLV stream support, or you can add a simple web UI with e.g. hls.js[2] (very easy to write, there might even be prepackaged solutions) so that they truly don't need to download anything.
[1] https://github.com/ossrs/srs
[2] https://github.com/video-dev/hls.js/
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How could I create live stream with AV1
I think HLS.js solved the same issue for H264.
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How do you play m3u8 files?
hls.js
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Guide: Simple video host.
https://github.com/video-dev/hls.js/ <--download the release.zip, unpack it, extract dist/hls.js and dist/hls.js.map you can discard the rest. Near as I can tell these do not contain any external HTTP calls, IE: it's fully self-contained.
tfjs-models
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Running a TensorFlow object detector model and drawing boxes around objects at 60 FPS - all in React Native / JavaScript!
I am wondering, will this also work with tensoflow.js or only tflite? I'd like to use this hand pose estimation from mediapipe: https://github.com/tensorflow/tfjs-models/tree/master/hand-pose-detection
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ML tool to read PDF file and answer questions from its content
I got the basic concept working using TensorFlow QnA model but the answers don't seem very accurate. Infact, unless you specifically ask the exact question, you dont get the right answer. Its not intelligent enough because the entire PDF content becomes a bag of words instead of having context to those words. for eg. When someone types "languages", it should search within a section named Languages.
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React + Tensorflow.js , a cool recipe for AI powered applications
I think you are beginning to connect the dots by now 😉 What we will do is to build a small proof-of-concept (POC) by writing a simple react app and hook up a pre-trained tensorflow.js model, The text toxicity model to "moderate" the user's text input and show a notification of what's wrong with it, a text toxicity meter if you will...
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Chat moderation in Daily using TensorFlow.js
TensorFlow.js is a JavaScript library developers can use to run pre-trained machine-learning models in the browser. The library has a variety of models for tasks such as object identification and language processing. One of these models is the text toxicity detection model.
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Racial slurs list? I need some guidance!
TensorFlow has a toxicity classification model available. I don't find it to work that well, but it does something. Not sure if it works in other languages than English. Tried the demo with some offensive Dutch and it passed it.
- Does tensorflow offer a 3d meshing model for body parts?
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Seeking Advice on Resources for Creating an Image Analysis and Manipulation AI
No clue if it will work on drawn images. It depends on what the model was trained on. The models github is a good place to get started on figuring that out: https://github.com/tensorflow/tfjs-models/tree/body-pix-v2.0.4/body-pix
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[AskJS] Rate a string on how much sense it makes
You probably want to check out something like tensorflow https://github.com/tensorflow/tfjs-models where you can build and test your models.
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Chat moderation in Wix with TensorflowJS and Velo
I decided to start with the toxicity model OOTB demo code for simplicity. You can find this code in their Github repo.
- Buenas! Necesito ideas para tesis de la carrera de desarrollo de software
What are some alternatives?
video.js - Video.js - open source HTML5 video player
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
react-player - A React component for playing a variety of URLs, including file paths, YouTube, Facebook, Twitch, SoundCloud, Streamable, Vimeo, Wistia and DailyMotion
ml5-library - Friendly machine learning for the web! 🤖
Plyr - A simple HTML5, YouTube and Vimeo player
openpose - OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
flv.js - HTML5 FLV Player
BlazePose-tensorflow - A third-party Tensorflow Implementation for paper "BlazePose: On-device Real-time Body Pose tracking".
rtsp-stream - Out of box solution for RTSP - HLS live stream transcoding. Makes RTSP easy to play in browsers.
tensorflow-bodypix-sample
ffmpeg.js - Port of FFmpeg with Emscripten
lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.