darknet VS openalpr

YoloV3/4 is C based if that counts: https://github.com/AlexeyAB/darknet

This is all well-known information, see any (and all!) previous discussions when YOLOv5 comes up. For details: https://github.com/AlexeyAB/darknet/issues/5920

2) YOLOv5 is both slower and less precise than YOLOv4. Why use YOLOv5? Source: https://github.com/AlexeyAB/darknet/issues/5920

So my recommendation is you stuck with Darknet/YOLO and use v4 of YOLO. The Darknet framework license is definitely suitable for commercial use: https://github.com/AlexeyAB/darknet/blob/master/LICENSE

Still to long. Here's my favourite license: https://github.com/AlexeyAB/darknet/blob/master/LICENSE

When YOLOv7 was out, I built a web app to test it against the classic YOLOv4 and shared it with my team, then deployed it online to share with the community.

If you're worried about performance, you shouldn't be using YOLOv5 since it is slower (and less accurate!) than YOLOv4. Source: https://github.com/AlexeyAB/darknet/issues/5920

I looked around online but I only found this post discussing a related issue, leading me to think there seems to be some sort of compatibility issue going on here. And I think this is the most recent version of the file I am trying to compile located on the exact same folder where my copy is and when I opened it it shows CUDA 11.1 in line 307.

Why is ANPR unlawful for private citizens to perform on their own footage? (e.g. using https://www.openalpr.com)

You can actually build your own using OpenALPR: https://github.com/openalpr/openalpr/wiki/OpenALPR-Design

You can try also using it paired with something like openalpr or plate recognizer. Both have cheap options, plate recognizer offers a free plan with 2,500 lookups.

if anyone knows an up-to-date license plate reader version. https://github.com/openalpr/openalpr is outated, doesn't read different angles natively, traning tools are also outated etc but anyone knows an open source version that as well as say https://platerecognizer.com/ or even https://www.openalpr.com/ please let me know.

I like the idea of crowd sourced proof of infractions. You could easily extract EXIF data to grab date/time/location and also use openalpr to automate data input for human review.

openALPR (Automatic License Plate Recognition) + DCDMV integration + raspberry pi + a GPS cap on the RPi + decent webcam + OpenMaps (you don't even need this unless you want to plot it); Maybe add a condition to send plate location over $XXXX to some traffic enforcement distros. Hardware for a setup will probably run $250 tops if you're going fancy

Oh, It was my school project something like that, and I use some YOLO's and OpenALPR, openalpr is amazing give it a try: OpenALPR https://github.com/openalpr/openalpr