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| | | |  |  https://arxiv.org/abs/1612.08242 | |
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| | | # Yolo-Windows v2 |
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| | | # "You Only Look Once: Unified, Real-Time Object Detection (version 2)" |
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| | | 3.1 (right click on project) -> properties -> C/C++ -> General -> Additional Include Directories |
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| | | 3.2 (right click on project) -> properties -> Linker -> General -> Additional Library Directories |
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| | | 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), ... : |
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| | | * `#pragma comment(lib, "opencv_core249.lib")` |
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| | | * `#pragma comment(lib, "opencv_imgproc249.lib")` |
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| | | * `#pragma comment(lib, "opencv_highgui249.lib")` |
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| | | 4. If you have other version of OpenCV 3.x (not 2.4.x) then you should change many places in code by yourself. |
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| | | 8. Start training by using the command line: `darknet.exe detector train data/obj.data yolo-obj.cfg darknet19_448.conv.23` |
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| | | ## How to mark bounded boxes of objects and create annotation files: |
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| | | 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 |
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| | | 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 |
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