tip VS megadetector-gui

- Integration with other macOS apps, like Tip.app[1], so selection (region) in Emacs is recognised by macOS and sent to Tip.app as stdin

From downsides, it won't compile with xwidgets support (webkit).

[1]: https://github.com/tanin47/tip

Project 1: A desktop app. 900+ github stars, built with Swift / Obj C

Alternatively, you can program Tip (https://github.com/tanin47/tip, disclaimer: I'm the creator) to popup relevant menu items based on the text you currently select.

I've been using this at work hundreds of times every day for years now. I'd love anyone to try it out.

It won't, but I feel pretty damn good about my repo getting almost 900 stars (https://github.com/tanin47/tip).

The github stars is quite useful to break into big tech as well. But the value of it probably stops there.

Thank you for pointing it out. I just notice the description.

I guess I can offer a different one that is free.

A programmable tooltip on Mac: https://github.com/tanin47/tip

I'm experimenting with a mechanism to replace the selected text. You can select a text (on any app), activate the tooltip, and select one of the options, and that option can replace the selected text. The UX isn't as smooth as I want, and I'm still figuring out how to overcome that.

I use a mouse with 3 extra buttons.

2 are for copying and pasting.

1 is for activating a programmable tooltip.

Here are the apps I built for the above:

1. Mouse config tool for Mac https://github.com/tanin47/noo

2. Programmable tooltip for Mac https://github.com/tanin47/tip

On (some) weekends I work on Megadetector GUI [0]. Megadetector [1] is an object detection model trained on millions of camera trap images and is widely used by conservationists. The issue is that it's rather technical to set up, so I made a GUI for it.

Currently working on a brand new version (not public just yet) that will use the latest MD version (v5 is way faster), better UI and most importantly GPU support out of the box.

[0] https://github.com/petargyurov/megadetector-gui

[1] https://github.com/microsoft/CameraTraps/blob/main/megadetec...

> ML to identify gorillas by their unique nose prints

Really cool stuff. I wonder if face detection is sufficient too? It has been proven to work for brown bears [0].

I have also been doing some open source work [1] to democratise object detection in this space but I haven't had the time to make improvements to the project in a while.

* [0] http://bearresearch.org/

* [1] https://github.com/petargyurov/megadetector-gui

In case any camera trap folk are here, I'm currently volunteering with the NZ Department of Conservation to build an AI-assisted image sorting tool that speeds up the weeding out of empty images.

https://github.com/petargyurov/megadetector-gui

This currently used to assist the conservation efforts of various endemic species such as the kakapo, kea and takahe. (The ML model used is not limited to just these species!)