From 0be9b45835eda071f5a1754581630e2f9e4891d3 Mon Sep 17 00:00:00 2001 From: Alexey <AlexeyAB@users.noreply.github.com> Date: Mon, 02 Jan 2017 12:30:24 +0000 Subject: [PATCH] Update Readme.md - pragma-libs in How to compile --- README.md | 17 ++++++++++++++++- 1 files changed, 16 insertions(+), 1 deletions(-) diff --git a/README.md b/README.md index 794829b..404534b 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,6 @@ - +|  |  https://arxiv.org/abs/1612.08242 | +|---|---| + # Yolo-Windows v2 # "You Only Look Once: Unified, Real-Time Object Detection (version 2)" @@ -83,6 +85,13 @@ 3.1 (right click on project) -> properties -> C/C++ -> General -> Additional Include Directories 3.2 (right click on project) -> properties -> Linker -> General -> Additional Library Directories + + 3.3 Open file: `\src\yolo.c` and change 3 lines to your OpenCV-version - `249` (for 2.4.9), `2413` (for 2.4.13), ... : + + * `#pragma comment(lib, "opencv_core249.lib")` + * `#pragma comment(lib, "opencv_imgproc249.lib")` + * `#pragma comment(lib, "opencv_highgui249.lib")` + 4. If you have other version of OpenCV 3.x (not 2.4.x) then you should change many places in code by yourself. @@ -196,3 +205,9 @@ 8. Start training by using the command line: `darknet.exe detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23` + +## How to mark bounded boxes of objects and create annotation files: + +Here you can find repository with GUI-software for marking bounded boxes of objects and generating annotation files for Yolo v2: https://github.com/AlexeyAB/Yolo_mark + +With example of: `train.txt`, `obj.names`, `obj.data`, `yolo-obj.cfg`, `air`1-6`.txt`, `bird`1-4`.txt` for 2 classes of objects (air, bird) and `train_obj.cmd` with example how to train this image-set with Yolo v2 -- Gitblit v1.10.0