From c48f8c157361e8d2edbf9af00a587ceb3be37059 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Fri, 15 Sep 2017 16:04:44 +0000
Subject: [PATCH] Added densenet201_yolo.cfg

---
 README.md |    3 ++-
 1 files changed, 2 insertions(+), 1 deletions(-)

diff --git a/README.md b/README.md
index 45c013b..f983ad8 100644
--- a/README.md
+++ b/README.md
@@ -38,6 +38,7 @@
 * **OpenCV 3.x**: https://sourceforge.net/projects/opencvlibrary/files/opencv-win/3.2.0/opencv-3.2.0-vc14.exe/download
 * **or OpenCV 2.4.13**: https://sourceforge.net/projects/opencvlibrary/files/opencv-win/2.4.13/opencv-2.4.13.2-vc14.exe/download
   - OpenCV allows to show image or video detection in the window and store result to file that specified in command line `-out_filename res.avi`
+* **GPU with CC >= 2.0** if you use CUDA, or **GPU CC >= 3.0** if you use cuDNN + CUDA: https://en.wikipedia.org/wiki/CUDA#GPUs_supported
 
 ##### Pre-trained models for different cfg-files can be downloaded from (smaller -> faster & lower quality):
 * `yolo.cfg` (194 MB COCO-model) - require 4 GB GPU-RAM: http://pjreddie.com/media/files/yolo.weights
@@ -70,7 +71,7 @@
 
 ##### How to use on the command line:
 
-On Linux use `./darknet` instead of `darknet.exe`, like this: `./darknet detector test data/coco.data yolo.cfg yolo.weights`
+On Linux use `./darknet` instead of `darknet.exe`, like this:`./darknet detector test ./cfg/coco.data ./cfg/yolo.cfg ./yolo.weights`
 
 * 194 MB COCO-model - image: `darknet.exe detector test data/coco.data yolo.cfg yolo.weights -i 0 -thresh 0.2`
 * Alternative method 194 MB COCO-model - image: `darknet.exe detect yolo.cfg yolo.weights -i 0 -thresh 0.2`

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