Search Results for "cpu benchmark linux"

A Python library for audio data augmentation. Inspired by albumentations. Useful for deep learning. Runs on CPU. Supports mono audio and multichannel audio. Can be integrated in training pipelines in e.g. Tensorflow/Keras or Pytorch. Has helped people get world-class results in Kaggle competitions. Is used by companies making next-generation audio products. Mix in another sound, e.g. a background noise. Useful if your original sound is clean and you want to simulate an environment where...

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:

Nautic Radio Broadcast Console is a darkice (shoutcast / icecast source client available at http://darkice.org/ ) frontend, that allows you to play jingles (audio samples), capture a webcam images to send to an FTP, chat with listeners (through an external webchat site) and monitor your audio and system (cpu, network) The program is developed, and used in production, for www.nauticradio.net / www.beatsnbreaks.nl and targeted at relatively old computers running linux. However it is not tested on many platforms, nor guaranteed to be stable. Minimum system requirements: CPU: 3 GHz pentium 4 or higher (preferably 2+ GHz dualcore), Memory: 1GB RAM or more, Diskspace: 10MB plus enough to record broadcasts in mp3.

distX is a script which can be used to distribute CPU intensive tasks to a cluster of machines. For example, distX has been used for distributed encoding of ogg vorbis files.