RPE, video management, app settings (0.3.0-beta) — Changelog

What’s new 🚨

RPE and RIR tracking
‍Rate your sets with RPE or RIR directly after recording. A new entry sheet lets you log perceived effort alongside your velocity data, giving you a more complete picture of every set. Toggle RPE tracking on or off from the settings menu.

**Video management
**You can now handle your video storage and deletions automatically. Old videos can be cleaned up to free space on your device while your personal record videos are always kept safe. You can also set videos to auto-export before deletion, so nothing is lost.

Rep auto-hide
‍Unracks and re-racks are now automatically filtered from your set data. Your rep count and set averages reflect only your working reps, giving you cleaner data without manual editing. If Metric gets one of these wrong you can alway unhide it from the reps table in the set review.

Account & settings menu
‍New toggle options for RPE tracking and bar path overlay visibility. Customize what you see during and after your sets. The settings menu also now links directly to the changelog, Metric validation research, and user guides on the website.

Improvements ✨

Fixes for plate detection in preview. The pre-recording plate detection system is now more responsive, giving you quicker more accurate feedback on your setup.
HEVC video encoding. Videos now save in HEVC, cutting file sizes by roughly 50% with no loss in quality. Faster exports, less storage used.
Image color encoding fixed. Video was appearing washed out on playback for some devices, Metric now properly matches your device color space for playback and export.
Refreshed UI across the app. Form fields, dropdowns, and text inputs have been unified across profile, quick set, edit set, and bug report screens for a cleaner, more consistent look.
Improved cloud syncing. Training data is now saved and written to cloud storage more efficiently.

Bug fixes 🐛

Fixed crashes in the camera and set history screens
Fixed an issue where some devices failed to activate the GPU for vision processing, falling back to slower CPU paths.
Numerous tracking and camera performance fixes