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README.md

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 # yolo2_light
 Light version of convolutional neural network Yolo v2 for objects detection with a minimum of dependencies
+
+This repository supports:
+
+* both Windows and Linux
+* both OpenCV 3.x and OpenCV 2.4.13
+* both cuDNN 5 and cuDNN 6
+* CUDA >= 7.5
+
+How to compile:
+* To compile for CPU just do `make` on Linux or build `yolo_cpu.sln` on Windows
+* To compile for GPU set flag `GPU=1` in the `Makefile` on Linux or build `yolo_gpu.sln` on Windows
+
+    Required both [CUDA >= 7.5](https://developer.nvidia.com/cuda-toolkit-archive) and [cuDNN >= 5.1](https://developer.nvidia.com/rdp/cudnn-archive)
+
+How to start:
+* Download [`yolo-voc.weights`](https://drive.google.com/open?id=0BwRgzHpNbsWBSzB6eldFTHJLRTA) to the `bin` directory and run `./yolo.sh` on Linux (or `yolo_cpu.cmd` / `yolo_gpu.cmd` on Windows)
+* Download [`tiny-yolo-voc.weights`](https://drive.google.com/open?id=0BwRgzHpNbsWBeHBaM3ltVUZCZW8) to the `bin` directory and run `./tiny-yolo.sh`
+
+
+Other models by the link: https://pjreddie.com/darknet/yolo/