DL框架之darknet:darknet的简介、安装、使用方法的详细攻略
目录
darknet的简介
darknet的安装
darknet的使用方法
1、YOLO: Real-Time Object Detection
2、ImageNet Classification
3、Nightmare
4、RNNs in Darknet
5、DarkGo: Go in Darknet
6、Train a Classifier on CIFAR-10
7、Hardware Guide: Neural Networks on GPUs (Updated 2016-1-30)
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
Darknet: Open Source Neural Networks in C. Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do right here.
官网:https://pjreddie.com/darknet/
GitHub:https://github.com/pjreddie/darknet
darknet是一个较为轻型的完全基于C与CUDA的开源深度学习框架,其主要特点就是容易安装,没有任何依赖项(OpenCV都可以不用),移植性非常好,支持CPU与GPU两种计算方式。
相比于TensorFlow来说,darknet并没有那么强大,但这也成了darknet的优势:
正是因为其较为轻型,没有像TensorFlow那般强大的API,所以给我的感觉就是有另一种味道的灵活性,适合用来研究底层,可以更为方便的从底层对其进行改进与扩展; darknet的实现与caffe的实现存在相似的地方,熟悉了darknet,相信对上手caffe有帮助;
git clone https://github.com/pjreddie/darknet
后期继续更新……
@misc{darknet13,
author = {Joseph Redmon},
title = {Darknet: Open Source Neural Networks in C},
howpublished = {\url{http://pjreddie.com/darknet/}},
year = {2013--2016}
}
You only look once (YOLO) is a state-of-the-art, real-time object detection system.
Classify images with popular models like ResNet and ResNeXt.
Use Darknet's black magic to conjure ghosts, ghouls, and wild badgermoles. But be warned, ye who enter here: no one is safe in the land of nightmares.
Recurrent neural networks are all the rage for time-series data and NLP. Learn how to use them in Darknet!
Play Go using a policy network trained with Darknet
Learn how to train a classifier from scratch in Darknet.
I've had a number of people ask me what hardware I would recommend for training neural networks for vision applications. Here are some of my thoughts.