So I managed to correctly project a bounding box in an image through like 3 coordinate systems until I transformed it to an angular aperture in the base frame. So now I can detect people in the rgb camera and then block the lidar readings corresponding to the people when I run my localization algo :)

Got an update for Firefox 😊 ->
Updated Firefox 🎉 ->
Got a sticky popup that asks if I would answer 3 review questions, why not? 🙄 ->
Went to a fucking website that uses my fucking IP to identify my fucking language automatically, and the result is the one you can see in the image,
half fucking German and half fucking English,
meanwhile I'm the turd from fucking Italy!

Firefox, I didn't knew you like it 🤬 black (pattern(UX))

Message for ALL, take my example and WHENEVER THERE'S A TURD THAT SUGGESTS TO IMPLEMENT THE fucking LOCALIZATION BASED ON IP ADDRESSES, SAY THAT IT DOESN'T WORK, NEVER WORKED(not my first time elsewhere on the web) AND NEVER FUCKING WILL 😤

Does anyone know any good resources that walk you through building a image localization neural network(preferably in tensorflow)? Something that talks you through the though process behind the network design decisions and perhaps examples of training data used to train the network? It seems like every search result is just an example of how to download a premade network and it's weights which from a learning perspective is not very helpful. I'de really love to see one of the Yolo version walked through and trained but honestly any localization would be helpful.