Search Results for "ml-so1v"

MediaPipe offers open-source cross-platform, customizable ML solutions for live and streaming media. Provides segmentation masks for prominent humans in the scene. MediaPipe Face Mesh is a face geometry solution that estimates 468 3D face landmarks in real-time even on mobile devices. It employs machine learning (ML) to infer the 3D surface geometry, requiring only a single camera input without the need for a dedicated depth sensor.

IPTV/Video cloud Features: Cross-platform (Linux, MacOSX, FreeBSD, Raspbian/Armbian) GPU/CPU Encode/Decode/Post Processing Stream statistics CCTV Adaptive hls streams Load balancing Temporary urls HLS push EPG scanning Subtitles to text conversions AD insertion Logo overlay Video effects Relays Timeshifts Catchups Playlists Restream/Transcode from online streaming services like Youtube, Twitch Mozaic Many Outputs Physical Inputs Streaming Protocols File Formats Presets Vods/Series server-side support Pay per view channels Channels on demand HTTP Live Streaming (HLS) server-side support Public API, client server communication via JSON RPC Protocol gzip compression Deep learning video analysis Supported deep learning frameworks: Tensorflow NCSDK Caffe ML Hardware:

This source code implements an hardware intervalometer for Nikon cameras. It interfaces the camera the same way as an ML-L3 infrared remote control but instead of having the single functionality of triggering the camera upon the press of the button, it also provides timed shooting for timelapse photography. This source code is accompanied with an application schematic diagram to help in the construction of a complete unit using the PIC12F683 microcontroller and this firmware.

The Appropriate Software Foundation exists to contribute to the usage and development of software appropriate to the information flows within global civil society.

The core media framework of the AMF project.