Search Results for "cpu"

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 background noise is present. ...

...Using A2M is straightforward: Select an audio file, click Convert, and the application generates a MIDI file automatically in your Downloads/A2M folder. All processing is done locally on your device, no uploads, no accounts, and no telemetry. The app runs on CPU by default, with optional NVIDIA GPU acceleration for faster conversions. Project links: Website: justagwas.com/projects/a2m GitHub: github.com/Justagwas/a2m Documentation: https://github.com/Justagwas/a2m/wiki A2M is fully open source and operates only on the files you choose. VirusTotal scan result: https://www.virustotal.com/gui/file/cc2a961baaaac2f8932c2e9ed04f0c27a55309cc03ed0825e44c8af18e263ce6

...It's rather simple to use. Paste a link, select format and quality, and download. MediaCrate is designed with performance and simplicity in mind, maintaining minimal CPU usage while idle and a small memory footprint during downloads. Project links: Website: justagwas.com/projects/mediacrate GitHub: github.com/Justagwas/mediacrate Documentation: github.com/Justagwas/mediacrate/wiki The application is fully open source, runs entirely on your device, and only downloads content you explicitly request. ...

Pot-O MusiQT is a lightweight yet feature-rich desktop music player built with Python and PyQt5, designed for users who want a clean interface, strong playlist control, and practical everyday playback features without unnecessary complexity. It focuses on local media playback, fast interaction, and keyboard-friendly operation, while still offering modern conveniences such as metadata handling, lyrics viewing, and smooth playback transitions.

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.