what is darknet and why is it needed for YOLO object detection ? I read that it's a neural network written in C , but why is it needed for YOLO object detection when we have a lot of machine learning frameworks,api like tensorflow,keras,pytorch .
I'm trying to train yolo from git code and I could see they are using tensorflow/keras as well but not sure why darkenet is used initially for training yolo . darknet/yolo algorithm
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Log in to answerBest Answer · By JanBask Data Science Expert
Answered on Feb 14, 2023
https://pjreddie.com/darknet/ is their website...
I cite :
"Darknet: Open Source Neural Networks in C
Darknet yolo is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation."As to why they used that, well it's open source and in C, which are good points and seems to be performant (see the graphs in your link and associated paper). But the main point seems to be about history. The darknet project seems to have started in 2014. Were tensorflow / keras available and performance at this time in the first place ? Even if they were, why should they use keras / tensorflow ?
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