VideoHighlighter 0.14.1

What changed since 0.14.0

New

• The box tracker matches within a key, feed takes per-detector keys (live-tracking)
• CLIP and Whisper on the Apple GPU through Metal (mac)
• Everything follows the chosen language; search understands it (i18n)

Faster

• Actions on the Apple GPU: a fixed batch, and its compile kept (mac)
• Two object-detection workers, not four (mac)

Fixed

• Metal when no compute backend is set (mac)
• The frame encoder compiles on Core ML (mac)
• CLIP and Whisper use Metal only once it answers as the processor does (mac)
• The multilingual model exports on transformers 4.x too (export)
• Keep the compiled frame encoder on disk, not in memory (mac)
• Keep compiled Core ML models in ~/Library/Caches (mac)
• Take out Whisper's loops, and time lines after a pause (subtitles)

Other

• Hello Douyin

7 internal commits (docs, tests, CI, release) not listed.

Download

Install VideoHighlighter for Windows

One file. Run it, click through, done. It installs the app with
PyTorch for the processor, and downloads NVIDIA GPU acceleration
(ticked when an NVIDIA card is found) and the visual search model
during setup. Installs per user, no admin rights needed.

	Installer	Portable
Windows (desktop app)	Setup .exe	.7z.001
Windows (web UI)	—	.7z.001 .7z.002
macOS	—	.dmg

The installer is not signed yet, so Windows SmartScreen shows
"Windows protected your PC" on first run — More info → Run anyway.

The portable download runs on the processor out of the box; the
app offers NVIDIA acceleration and visual search as downloads the
first time you pick them. If it comes in several .7z.0NN parts,
put them all in one folder and extract the .001 with 7-Zip.

The web UI is the Tauri shell around the React frontend with the
Python engine bundled; it has no installer because no installer can
hold a 1.7 GB sidecar.

00-VideoHighlighter-Windows-Setup.zip is the older script-based
installer, kept as a fallback.