futurecoder VS megadetector-gui

I have recently found a neat new (to me) resource for learning Python. It's called futurecoder and you can find it at https://futurecoder.io.

If you’re interested in learning Python, i’ve been messing around with this site today and it’s been pretty cool! link

here's how I started my journey (SWE at aerospace now)

1.https://futurecoder.io/

futurecoder — interactive, includes integrated debuggers, enhanced tracebacks, hints for exercises and more

I really enjoyed https://futurecoder.io when starting. It makes diving deeper into udemy courses very easy, and helps to actually read and understand code.

As for courses, there are many great, free Python courses on YouTube, but I recommend this Harvard CS50 Intro to Programming with Python course. Or, if you are looking for something a bit more interactive, check out futurecoder.io. I just discovered it recently, and it is great (completely free, as well).

https://cs50.harvard.edu/python/2022/ https://futurecoder.io/ https://roadmap.sh/python https://www3.ntu.edu.sg/home/ehchua/programming/webprogramming/Python1\_Basics.html#zz-1.

I believe your application needed to be "complete" in order to be eligible. Good luck next time! There's also lots of other resources for learning python like Coursera's programming for everybody or http://futurecoder.io

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!)