mr1985's repositories
exoplayer_demo_hls
A simple demo using the Android Exolayer with a HLS stream
30-seconds-of-code
Curated collection of useful Javascript snippets that you can understand in 30 seconds or less.
ABR-Broadcaster
A real time encoder for Adaptive Bitrate Broadcast
binance-trade-bot
Automated cryptocurrency trading bot
cmafBroadcaster
this project is a containerized version ofa remix of Akamai Broadcaster & low-latency-preview
colab-mask-rcnn
How to run Object Detection and Segmentation on a Video Fast for Free
computer-vision
Various computer vision and OpenCV utilities (Python and C++).
cURL-proxy-video
PHP proxy livestream video via cURL
deep_sort_pytorch
MOT tracking using deepsort yolo3 with pytorch
ffmpeg-ffnvcodec-explanation
How to get FFmpeg to export the needed symbols on (K)ubuntu cosmic (and similar distros) so OBS and MPV can use NVENC and NVDEC by installing the FFmpeg Nvidia dynamic linker code
golang-pubsub-youtube
Basic PubSub Server use Golang & Websocket
hls.js
JavaScript HLS client using Media Source Extension
hlsjs-p2p-engine
A free hls.js plugin to offload bandwidth from expensive traditional CDNs，while also maximizing a user’s viewing experience.
ImageAI
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
lighttrack
LightTrack: A Generic Framework for Online Top-Down Human Pose Tracking
low-latency-preview
A proof of concept for low latency DASH streaming using entirely open source software end to end.
mobylette
Mobile request handling for Ruby on Rails
next-webgl
Example WebGL app with Next.js, React and Three.js
ott-packager
OTT streaming packager supporting ABR streaming for DASH and HLS.
py-style-transfer
:art: Artistic neural style transfer with tweaks (pytorch).
Pyxeled
Beautiful pixel art powered by machine learning
redis-go-cluster
redis cluster client implementation in Go
three-vr-omnitone
Omnitone Three.js Manager and Rotation Controller
videojs-resolution-switcher
Resolution switcher adds the ability to select the video quality in video.js player.
Violence-Detection-in-Videos
Violence detection in videos using CNNs and LSTMs. 98.5% video accuracy and 97.81% frame level accuracy (with threshold=3) was achieved through the proposed model by Joshua. Joshua's project was extended with real-time predictions on video feedcoming from camera. Moreover, notebook is added to easily setup and run code on colab.