Convolutional Neural Networks
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Zeno Gantner 493b1e3c65
option to compile with -march=native to speed up CPU performance
On my laptop without GPU this gives me a significant improvement.
From about 26 seconds (9 with OpenMP) down to (still) 12 seconds (5 with OpenMP).

Intel(R) Core(TM) i5-6500T CPU @ 2.50GHz (4 cores)
gcc (Ubuntu 5.4.0-6ubuntu1~16.04.5) 5.4.0 20160609

Deactivated by default to not break e.g. distributed compilation and cross compilation.
2017-12-19 16:09:04 +01:00
cfg it's raining really hard outside :-( :rain: :storm: ☁️ 2017-10-17 11:41:34 -07:00
data ...and tree :tree: 2017-01-04 05:05:08 -08:00
examples 🌃 🤔 💭 👹 2017-11-26 12:27:21 -08:00
include OK SHOULD I START WORKING ON CVPR OR WHAT? 2017-11-07 16:10:33 -08:00
python I WISH I HAD SOME TESTS THOUGH 2017-11-21 11:34:46 -08:00
scripts coco dataset script 2017-05-03 15:23:03 -07:00
src 🌃 🤔 💭 👹 2017-11-26 12:27:21 -08:00
.gitignore 🐍 🐍 🐍 🐍 2017-06-08 13:47:31 -07:00
LICENSE Update LICENSE 2016-07-29 13:11:41 -07:00
LICENSE.fuck YO DAWG, I HEARD YOU LIKE LICENSES 2017-06-18 13:16:16 -07:00
LICENSE.gen generate own license, totally legal :verified: 🐍 🐍 🐍 2017-06-20 15:35:29 -07:00
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LICENSE.meta generate own license, totally legal :verified: 🐍 🐍 🐍 2017-06-20 15:35:29 -07:00
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Makefile option to compile with -march=native to speed up CPU performance 2017-12-19 16:09:04 +01:00
README.md Update README.md 2015-08-05 16:56:24 -07:00

Darknet Logo

#Darknet# 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.

For more information see the Darknet project website.

For questions or issues please use the Google Group.