From 4d2fefd75a57dfd6e60680eaf7408c82e15a025d Mon Sep 17 00:00:00 2001 From: AlexeyAB <alexeyab84@gmail.com> Date: Thu, 17 Aug 2017 23:12:44 +0000 Subject: [PATCH] More usage rand_s() --- README.md | 5 +++-- 1 files changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 4a199b4..68a8770 100644 --- a/README.md +++ b/README.md @@ -44,6 +44,7 @@ * `yolo-voc.cfg` (256 MB VOC-model) - require 4 GB GPU-RAM: http://pjreddie.com/media/files/yolo-voc.weights * `tiny-yolo.cfg` (60 MB COCO-model) - require 1 GB GPU-RAM: http://pjreddie.com/media/files/tiny-yolo.weights * `tiny-yolo-voc.cfg` (60 MB VOC-model) - require 1 GB GPU-RAM: http://pjreddie.com/media/files/tiny-yolo-voc.weights +* `yolo9000.cfg` (186 MB Yolo9000-model) - require 4 GB GPU-RAM: http://pjreddie.com/media/files/yolo9000.weights Put it near compiled: darknet.exe @@ -104,8 +105,8 @@ * `CUDNN=1` to build with cuDNN v5/v6 to accelerate training by using GPU * `OPENCV=1` to build with OpenCV 3.x/2.4.x - allows to detect on video files and video streams from network cameras or web-cams * `DEBUG=1` to bould debug version of Yolo -* `OPENMP=1` to build with OpenMP suuport to accelerate by using multi-core CPU -* `LIBSO=1` to build an library `darknet.so` and binary runable file `uselib` that uses this library. How to use this SO-library from your own code - you can look at C++ example: https://github.com/AlexeyAB/darknet/blob/master/src/yolo_console_dll.cpp +* `OPENMP=1` to build with OpenMP support to accelerate Yolo by using multi-core CPU +* `LIBSO=1` to build a library `darknet.so` and binary runable file `uselib` that uses this library. How to use this SO-library from your own code - you can look at C++ example: https://github.com/AlexeyAB/darknet/blob/master/src/yolo_console_dll.cpp ### How to compile on Windows: -- Gitblit v1.10.0