u/DiggingForDinos

I'm excited to share the v2.2.0 release of the Frigate Events Card, a lightweight Lovelace card designed to display your recent camera detections in a clean, scrollable horizontal gallery.

This release addresses compatibility with the recent architectural changes in Frigate 0.14 and 0.17. In these newer versions, events often do not generate a separate static clip.mp4 file, resulting in "404 - Clip not available" errors. The card now bypasses the old has_clip database flag and directly streams the dynamic HLS (master.m3u8) playlists generated from your continuous recordings. If your camera has recordings active, videos will now play seamlessly.

What's New in v2.2.0

• Full Frigate 0.17.2 Compatibility: Solved missing clip errors by streaming HLS playlists directly from continuous recording segments.
• Auto-Tracking Hover Previews: Hovering over any event thumbnail instantly plays the video clip, automatically panning to follow the detected object across the frame.
• Horizontal Scroll Gallery: Now enabled by default, featuring arrow navigation and a clean, hidden scrollbar.
• Minimalist Details Modal: A redesigned pop-up card featuring clean typography, badges, and support for GenAI event descriptions.
• Dashboard Friendly: Lightweight, optimized, and fully compatible with the new Home Assistant Sections view.

Installation

You can install this card directly via HACS by adding it as a custom repository:

Repository: https://github.com/saihgupr/frigate-events-card

Any feedback, feature requests, or issue reports are appreciated. Thank you!

A few months ago, I created Proxmox Frigate Script to simplify and speed up installing and upgrading Frigate on Proxmox. With recent Proxmox releases adding native support for pulling OCI/Docker registry images and creating containers directly from them, I wanted to explore a cleaner, lighter approach that avoids nested Docker or a resource-heavy VM.

The result is a new script that automates deploying Frigate as a native, unprivileged OCI-based LXC container.

In my testing, the native OCI deployment reduced disk usage by more than 67%, dropping from 16.2 GB to 5.2 GB. CPU usage was also noticeably more consistent by eliminating the overhead of a nested container runtime. Memory usage was slightly lower but remained largely unchanged.

This is the initial release. Intel iGPU hardware acceleration and Coral TPUs are fully supported. Support for other GPUs, including AMD and Nvidia, is currently experimental.

What the script does

• Pulls the Frigate OCI image directly using the Proxmox storage registry API.
• Creates a native LXC container from the OCI image.
• Configures the permissions and paths required for native container execution.
• Automates hardware acceleration setup for Intel iGPUs and Coral TPUs (USB or PCIe).
• Creates the required directory structure and mount points.
• Includes an update script to pull new Frigate image versions and update the container template.

The repository and installation instructions are available here:

https://github.com/saihgupr/frigate-oci-script/

I’d be interested to hear how it works on different systems. Feedback, bug reports, and contributions are all welcome. Special thanks to u/LennySh for the initial idea and suggestion.

I didn’t want to buy a smart AC when all they really do is receive IR signals. So I wired a Wemos D1 Mini directly into my Frigidaire window unit and now I have real climate control through Home Assistant.

Here’s what I did:

1. Captured the IR codes from my AC remote using an IR receiver LED and ESPHome
2. Tested them back with an IR transmitting LED to make sure the AC responded
3. Opened up the AC, found the IR receiver on the control board, and soldered the ESP’s output directly to it. No more pointing a blaster at the unit
4. Powered the ESP from the AC’s 5V and GND so there’s no extra wires or plugs
5. Set up ESPHome with remote_transmitter and template buttons for power on/off, temp up/down, cool mode
6. Made a template switch in HA that uses a power-monitoring smart plug to know if the AC is actually on or off
7. Added generic_thermostat with a temp sensor nearby. Set a target temp and HA turns the AC on and off automatically

One thing I’d recommend: get the IR working through a regular LED before you start soldering into the AC. Way easier to troubleshoot.

Config files are here if you want to try it: https://github.com/saihgupr/Smart-AC-Control

This would work for any IR device too. TVs, fans, whatever.

RemoteCompanion is an open-source, lightweight automation hub for modern iOS jailbreaks. It lets you bind hardware buttons, gestures, and network events to scriptable action sequences, shell commands, or Lua scripts.

I have just released version 3.3.0, which is a major update focusing on system state events, iPad improvements, and workflow switching.

What's New in v3.3.0:

• Previous App Action: Quickly return to the previously active application via the new command. Supported in both the iOS app and Web UI action pickers.
• Device Lock/Unlock Triggers: Fire custom action sequences automatically when the device locks or unlocks.
• Media Playback Triggers: Automate tasks based on media state changes (Media Playing, Media Paused, and Media Track Changed).
• RootHide Support: Native compatibility for the RootHide bootstrap. The tweak is compiled to support RootHide directly without needing manual deb patching.

Major Additions since v1.1:

• Scheduled Automations: Run sequences at specific times of the day and on selected days of the week.
• Notification Triggers: Bind actions to incoming notifications from specific apps or containing target text.
• Conditional Logic: Build smart flows with If/Else conditions checking lock status, foreground app, WiFi, or orientation.
• Web UI Control Hub: Create, reorder, edit, and delete actions directly from any desktop browser on the same network.

RemoteCompanion is fully open source and supports iOS 14 through iOS 17 across rootless, rootful, and RootHide environments. You can view the code, read the documentation, or download the packages directly from GitHub.

Repository Link: https://github.com/saihgupr/remotecompanion

Sileo/Cydia Repository: https://saihgupr.github.io/remotecompanion/

Feedback and suggestions are welcome. RemoteCompanion remains completely free, donate if you'd like.

A few months ago I shared a minimal events card for Frigate that focused on a clean gallery view with real-time updates. Since then, I have been working on v2.0 to address the biggest request: better video handling.

The main goal remains the same. Keep the UI as lightweight as possible while providing a fast way to scrub through recent detections.

What is new in v2.0

• Native Video Playback: Added support for viewing clips directly in the browser. It now automatically falls back between HLS streams (.m3u8) and direct MP4 clips depending on what your device supports (Safari vs Chrome).
• Video on Hover: You can now enable video previews only when hovering over an event. This is a separate toggle from the main video setting, so you can keep the gallery lightweight with snapshots but get instant video previews on rollover.
• Reverse Layout: A new configuration option to render events right-to-left for specific dashboard layouts.
• Event Offset: Added the ability to skip the latest detections if you want to create multi-row layouts or specialized filtered views.
• Available via HACS: Install and update through HACS by adding the custom repository.

This card is built for people who want a glanceable history of events without the overhead of a full media browser. It uses the Frigate integration proxy to ensure all media is served securely through your Home Assistant instance.

You can find the repository and full installation instructions here: https://github.com/saihgupr/frigate-events-card

I would love to hear any feedback or feature requests.

Quick 2x2 comparison using the same historical photo of Conrad Heyer, an American Revolutionary War veteran and one of the earliest-born people ever photographed.

Both versions focus on restoring clarity, but take different approaches.

ChatGPT Images 1.0:
Produces a sharper, more interpretive restoration, but in some areas it drifts closer to a full reconstruction.

ChatGPT Images 2.0:
Preserves more of the original structure and texture while still reducing degradation, resulting in a more conservative restoration.

Both are AI recreations, but Images 2.0 does a better job of maintaining the authenticity of the original photograph.

Edit: The post I made a year ago with the original image. https://www.reddit.com/r/ChatGPT/comments/1k6sfdi/i_asked_chatgpt_to_restore_a_photo_of_conrad/