From ee3bdf890c3bc606e516c919de9b2fed0f385845 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Tue, 06 Dec 2016 11:44:05 +0000
Subject: [PATCH] Added coco.data and voc.data

---
 README.md |   18 ++++++++++++++----
 1 files changed, 14 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 90cecd0..ff632d5 100644
--- a/README.md
+++ b/README.md
@@ -30,11 +30,15 @@
 
 Others: https://www.youtube.com/channel/UC7ev3hNVkx4DzZ3LO19oebg
 
-##### Example of usage in cmd-files:
+### How to use:
+
+##### Example of usage in cmd-files from `build\darknet\x64\`:
 
 * `darknet_demo_voc.cmd` - initialization with 256 MB model yolo-voc.weights & yolo-voc.cfg and play your video file which you must rename to: test.mp4
 * `darknet_net_cam_voc.cmd` - initialization with 256 MB model, play video from network video-camera mjpeg-stream (also from you phone)
 
+How to use from command line with 256 MB model: `darknet.exe yolo demo yolo-voc.cfg yolo-voc.weights test.mp4 -i 0`
+
 ##### For using network video-camera mjpeg-stream with any Android smartphone:
 
 1. Download for Android phone mjpeg-stream soft: IP Webcam / Smart WebCam
@@ -48,14 +52,20 @@
 4. Replace the address below, on shown in the phone application (Smart WebCam) and launch:
 
 ```
-darknet.exe yolo demo yolo.cfg yolo.weights http://192.168.0.80:8080/video?dummy=param.mjpg -i 0
+darknet.exe yolo demo yolo-voc.cfg yolo-voc.weights http://192.168.0.80:8080/video?dummy=param.mjpg -i 0
 ```
 
+##### How to use COCO instead of VOC:
+
+* Get synset names from `build\darknet\x64\data\coco.names`: https://github.com/AlexeyAB/darknet/blob/master/build/darknet/x64/data/coco.names
+* And change list `char *voc_names[] = ` to COCO-names in file `yolo.c`: https://github.com/AlexeyAB/darknet/blob/master/src/yolo.c#L30
+
+
 ### How to compile:
 
-1. If you have CUDA 8.0, OpenCV 2.4.9 (C:\opencv_2.4.9) and MSVS 2015 then start MSVS, open `yolo-windows\build\darknet\darknet.sln` and do the: Build -> Build darknet
+1. If you have CUDA 8.0, OpenCV 2.4.9 (C:\opencv_2.4.9) and MSVS 2015 then start MSVS, open `build\darknet\darknet.sln` and do the: Build -> Build darknet
 
-2. If you have other version of CUDA (not 8.0) then open `darknet\build\darknet\darknet.vcxproj` by using Notepad, find 2 places with "CUDA 8.0" and change it to your CUDA-version, then do step 1
+2. If you have other version of CUDA (not 8.0) then open `build\darknet\darknet.vcxproj` by using Notepad, find 2 places with "CUDA 8.0" and change it to your CUDA-version, then do step 1
 
 3. If you have other version of OpenCV 2.4.x (not 2.4.9) then you should change pathes after `\darknet.sln` is opened
 

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