From ea09a6e0b38e1ddf43ffcd81d27f0506411eb8e4 Mon Sep 17 00:00:00 2001
From: AlexeyAB <alexeyab84@gmail.com>
Date: Tue, 09 Jan 2018 19:26:54 +0000
Subject: [PATCH] Command line for example of usage DLL/SO

---
 README.md |   29 ++++++++++++++---------------
 1 files changed, 14 insertions(+), 15 deletions(-)

diff --git a/README.md b/README.md
index 6228258..05b9cca 100644
--- a/README.md
+++ b/README.md
@@ -166,8 +166,6 @@
 
 `OPENCV;_TIMESPEC_DEFINED;_CRT_SECURE_NO_WARNINGS;_CRT_RAND_S;WIN32;NDEBUG;_CONSOLE;_LIB;%(PreprocessorDefinitions)`
 
-- open file: `\src\detector.c` and check lines `#pragma` and `#inclue` for OpenCV.
-
 - compile to .exe (X64 & Release) and put .dll-s near with .exe:
 
     * `pthreadVC2.dll, pthreadGC2.dll` from \3rdparty\dll\x64
@@ -359,22 +357,23 @@
 
  Simultaneous detection and classification of 9000 objects:
 
-* `9k.tree` - **WordTree** of 9418 categories  - `<label> <parent_it>`, if `parent_id == -1` then this label hasn't parent: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/9k.tree
-
-* `coco9k.map` - map 80 categories from MSCOCO to WordTree `9k.tree`: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/coco9k.map
-
-* `combine9k.data` - data file, there are paths to: 9k.labels, 9k.names, inet9k.map, (change path to your `combine9k.train.list`): https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/combine9k.data
-
-* `9k.labels` - 9418 labels of objects: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/9k.labels
-
-* `9k.names` -
-9418 names of objects: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/9k.names
-
-* `inet9k.map` - map 200 categories from ImageNet to WordTree `9k.tree`: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/inet9k.map
+* `yolo9000.weights` - (186 MB Yolo9000 Model) requires 4 GB GPU-RAM: http://pjreddie.com/media/files/yolo9000.weights
 
 * `yolo9000.cfg` - cfg-file of the Yolo9000, also there are paths to the `9k.tree` and `coco9k.map`  https://github.com/AlexeyAB/darknet/blob/617cf313ccb1fe005db3f7d88dec04a04bd97cc2/cfg/yolo9000.cfg#L217-L218
 
-* `yolo9000.weights` - (186 MB Yolo9000-model) requires 4 GB GPU-RAM: http://pjreddie.com/media/files/yolo9000.weights
+    * `9k.tree` - **WordTree** of 9418 categories  - `<label> <parent_it>`, if `parent_id == -1` then this label hasn't parent: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/9k.tree
+
+    * `coco9k.map` - map 80 categories from MSCOCO to WordTree `9k.tree`: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/coco9k.map
+
+* `combine9k.data` - data file, there are paths to: `9k.labels`, `9k.names`, `inet9k.map`, (change path to your `combine9k.train.list`): https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/combine9k.data
+
+    * `9k.labels` - 9418 labels of objects: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/9k.labels
+
+    * `9k.names` -
+9418 names of objects: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/9k.names
+
+    * `inet9k.map` - map 200 categories from ImageNet to WordTree `9k.tree`: https://raw.githubusercontent.com/AlexeyAB/darknet/master/build/darknet/x64/data/inet9k.map
+
 
 ## How to use Yolo as DLL
 

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