Advice for Ultimate Frisbee captains with no coach

I currently play competitive Ultimate Frisbee in Australia with my local club in Townsville, the Townsvillains. Together with the leadership group we plan weekly training sessions, we organise…

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Load all dependencies we need

Driving is a huge resposebelty, your actions, your reactions, your drowsy, It could negatively affect the lives of the people in the car with you eatheir if they are your friends, familly, etc… and it could also affect dozens of other people around you.

since I am a sleepy person who love to drive I thought if I was ever gonna start a blog or a youtube channel this would be the first problem that i will try to solve.

Well actually i can’t.. All i can do is a build a system uing deep learning + opencv that can hopefully solve it and wish if car makersو governments or I don’t know use my system and apply it in real world.

First Let’s see how many accidents caused by Drowsy Driving.

This is a huge number for me. Now i am motivate to build this syhstem even more.

Let’s start by deep learning… In order to do deep learning first we need A lot a lot of data, secondly we need the neural network that is deep, and finaly we need cuda cores.

Now sence we have the data let’s code the neural network that is deep.

Well we train our neural network and save it. Now let’s write some open cv code to detect eyes of the driver wich it will be the input of the model to see if the driver is awake or not, if it is not we will awake him with some really Annoying voice. to hopefully avoid any craches.

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