Search Results for "cpu"

...Thanks to its multi-file encoding feature, it may be the fastest a/v batch encoder available, since it maximizes system resources usage by launching as many simultaneous processes up to user cpu thread count. You can change encoding priority, pause and resume, set automatic shutdown. It is good for seasoned ffmpeg users as well as beginners. It provides unlimited single or multi-file batch encoding for almost any audio/video format. You can use any set of parameters and try them before starting encoding. You can multiplex streams, subtitle videos (as track and hardcoded), trim, concatenate, record screen, multimedia info. ...

...The software also supports AviSynth for advanced video processing. The video and audio encoders are implemented in a plug-in style, enabling users to add their own compiled, optimized CPU architectures for increased speed. This modular design ensures that the encoder remains adaptable and expandable, allowing for the addition of new and future encoding technologies. Internet Friendly Media Encoder also supports hardware acceleration from Intel, AMD, and NVidia for encoding in H264, H265, and AV1 formats.

winLAME is an easy to use encoder for many audio formats, including MP3, Opus, Ogg Vorbis and more. winLAME lets you read in audio tracks from CDs or encode audio files from your hard drive. The intuitive wizard-style user interface makes it easy to set up encoding settings. Multicore CPUs are used to parallelize encoding tasks. Official GitHub project webpage: https://github.com/vividos/winLAME

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:

Convert mkv/avi files in h264 to mp4 files without re-encode video stream. Subtitle will be embed as soft subtitle.Convert speed is fast as video is not re-encoded.Works on iPad.mp4box, mkvextract, beSweet,eac3to,mediainfo are used.

Frontend for the Bauer stereophonic-to-binaural DSP (bs2b) with an ability to process several files simultaneously using all available CPU cores.