diff --git a/Makefile b/Makefile
new file mode 100644
index 0000000..69ddb80
--- /dev/null
+++ b/Makefile
@@ -0,0 +1,55 @@
+.ONESHELL:
+.PHONY: download build clean
+
+# Latest battletested AlexeyAB version of Darknet commit
+LATEST_COMMIT?=d65909fbea471d06e52a2e4a41132380dc2edaa6
+
+# Temporary folder for building Darknet
+TMP_DIR?=/tmp/
+
+# Download AlexeyAB version of Darknet
+download:
+	rm -rf $(TMP_DIR)install_darknet
+	mkdir $(TMP_DIR)install_darknet
+	git clone https://github.com/AlexeyAB/darknet.git $(TMP_DIR)install_darknet
+	cd $(TMP_DIR)install_darknet
+	git checkout $(LATEST_COMMIT)
+	cd -
+
+# Build AlexeyAB version of Darknet for usage with CPU only.
+build:
+	cd $(TMP_DIR)install_darknet
+	sed -i -e 's/GPU=1/GPU=0/g' Makefile
+	sed -i -e 's/CUDNN=1/CUDNN=0/g' Makefile
+	sed -i -e 's/LIBSO=0/LIBSO=1/g' Makefile
+	$(MAKE) -j $(shell nproc --all)
+	$(MAKE) preinstall
+	cd -
+
+# Build AlexeyAB version of Darknet for usage with both CPU and GPU (CUDA by NVIDIA).
+build_gpu:
+	cd $(TMP_DIR)install_darknet
+	sed -i -e 's/GPU=0/GPU=1/g' Makefile
+	sed -i -e 's/CUDNN=0/CUDNN=1/g' Makefile
+	sed -i -e 's/LIBSO=0/LIBSO=1/g' Makefile
+	$(MAKE) -j $(shell nproc --all)
+	$(MAKE) preinstall
+	cd -
+
+# Install system wide.
+sudo_install:
+	cd $(TMP_DIR)install_darknet
+	sudo cp libdarknet.so /usr/lib/libdarknet.so
+	sudo cp include/darknet.h /usr/include/darknet.h
+	sudo ldconfig
+	cd -
+
+# Cleanup temporary files for building process
+clean:
+	rm -rf $(TMP_DIR)install_darknet
+
+# Do every step for CPU-based only build.
+install: download build sudo_install clean
+
+# Do every step for both CPU and GPU-based build.
+install_gpu: download build_gpu sudo_install clean
\ No newline at end of file
diff --git a/README.md b/README.md
index f23f191..ac6f231 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,6 @@
 [![Go Report Card](https://goreportcard.com/badge/github.com/LdDl/go-darknet)](https://goreportcard.com/report/github.com/LdDl/go-darknet)
 [![GitHub tag](https://img.shields.io/github/tag/LdDl/go-darknet.svg)](https://github.com/LdDl/go-darknet/releases)
 
-
 # go-darknet: Go bindings for Darknet (Yolo V4, Yolo V3)
 ### go-darknet is a Go package, which uses Cgo to enable Go applications to use YOLO V4/V3 in [Darknet].
 
@@ -23,29 +22,20 @@
 
 ## Requirements
 
-For proper codebase please use fork of [darknet](https://github.com/AlexeyAB/darknet). Latest commit I've tested [here](https://github.com/AlexeyAB/darknet/commit/d65909fbea471d06e52a2e4a41132380dc2edaa6)
+You need to install fork of [darknet](https://github.com/AlexeyAB/darknet). Latest commit I've tested is [here](https://github.com/AlexeyAB/darknet/commit/d65909fbea471d06e52a2e4a41132380dc2edaa6)
 
-In order to use go-darknet, `libdarknet.so` should be available in one of
-the following locations:
+Use provided [Makefile](Makefile).
 
-* /usr/lib
-* /usr/local/lib
+* For CPU-based instalattion:
+    ```shell
+    make install
+    ```
+* For both CPU and GPU-based instalattion:
+    ```shell
+    make install_gpu
+    ```
+    Note: If you want to have GPU-acceleration before running command above install [CUDA](https://developer.nvidia.com/cuda-downloads) and [cuDNN](https://developer.nvidia.com/cudnn) (Latest CUDA version I've tested is [10.2](https://developer.nvidia.com/cuda-10.2-download-archive) and cuDNN is [7.6.5](https://developer.nvidia.com/rdp/cudnn-archive#a-collapse765-102))
 
-Also, [darknet.h] should be available in one of the following locations:
-
-* /usr/include
-* /usr/local/include
-
-To achieve it, after Darknet compilation (via make) execute following command:
-```shell
-# Copy *.so to /usr/lib + /usr/include (or /usr/local/lib + /usr/local/include)
-sudo cp libdarknet.so /usr/lib/libdarknet.so && sudo cp include/darknet.h /usr/include/darknet.h
-# sudo cp libdarknet.so /usr/local/lib/libdarknet.so && sudo cp include/darknet.h /usr/local/include/darknet.h
-```
-Note: do not forget to set LIBSO=1 in Makefile before executing 'make':
-```Makefile
-LIBSO=1
-```
 ## Installation
 
 ```shell
@@ -58,87 +48,88 @@ Example Go program is provided in the [example] directory. Please refer to the c
 
 Building and running program:
 
-Navigate to [example] folder
-```shell
-cd $GOPATH/github.com/LdDl/go-darknet/example
-```
+* Navigate to [example] folder
+    ```shell
+    cd $GOPATH/github.com/LdDl/go-darknet/example
+    ```
 
-Download dataset (sample of image, coco.names, yolov4.cfg (or v3), yolov4.weights(or v3)).
-```shell
-#for yolo v4
-./download_data.sh
-#for yolo v3
-./download_data_v3.sh
-```
-Note: you don't need *coco.data* file anymore, because sh-script above does insert *coco.names* into 'names' field in *yolov4.cfg* file (so AlexeyAB's fork can deal with it properly)
-So last rows in yolov4.cfg file will look like:
-```bash
-......
-[yolo]
-.....
-iou_loss=ciou
-nms_kind=greedynms
-beta_nms=0.6
+* Download dataset (sample of image, coco.names, yolov4.cfg (or v3), yolov4.weights(or v3)).
+    ```shell
+    #for yolo v4
+    ./download_data.sh
+    #for yolo v3
+    ./download_data_v3.sh
+    ```
+* Note: you don't need *coco.data* file anymore, because sh-script above does insert *coco.names* into 'names' field in *yolov4.cfg* file (so AlexeyAB's fork can deal with it properly)
+    So last rows in yolov4.cfg file will look like:
+    ```bash
+    ......
+    [yolo]
+    .....
+    iou_loss=ciou
+    nms_kind=greedynms
+    beta_nms=0.6
 
-names = coco.names # this is path to coco.names file
-```
-Also do not forget change batch and subdivisions sizes from:
-```shell
-batch=64
-subdivisions=8
-```
-to
-```shell
-batch=1
-subdivisions=1
-```
-It will reduce amount of VRAM used for detector test.
+    names = coco.names # this is path to coco.names file
+    ```
+
+* Also do not forget change batch and subdivisions sizes from:
+    ```shell
+    batch=64
+    subdivisions=8
+    ```
+    to
+    ```shell
+    batch=1
+    subdivisions=1
+    ```
+    It will reduce amount of VRAM used for detector test.
 
 
-Build and run program
-Yolo V4:
-```shell
-go build main.go && ./main --configFile=yolov4.cfg --weightsFile=yolov4.weights --imageFile=sample.jpg
-```
+* Build and run program
+    Yolo V4:
+    ```shell
+    go build main.go && ./main --configFile=yolov4.cfg --weightsFile=yolov4.weights --imageFile=sample.jpg
+    ```
 
-Output should be something like this:
-```shell
-traffic light (9): 73.5039% | start point: (238,73) | end point: (251, 106)
-truck (7): 96.6401% | start point: (95,79) | end point: (233, 287)
-truck (7): 96.4774% | start point: (662,158) | end point: (800, 321)
-truck (7): 96.1841% | start point: (0,77) | end point: (86, 333)
-truck (7): 46.8695% | start point: (434,173) | end point: (559, 216)
-car (2): 99.7370% | start point: (512,188) | end point: (741, 329)
-car (2): 99.2533% | start point: (260,191) | end point: (422, 322)
-car (2): 99.0333% | start point: (425,201) | end point: (547, 309)
-car (2): 83.3919% | start point: (386,210) | end point: (437, 287)
-car (2): 75.8621% | start point: (73,199) | end point: (102, 274)
-car (2): 39.1925% | start point: (386,206) | end point: (442, 240)
-bicycle (1): 76.3121% | start point: (189,298) | end point: (253, 402)
-person (0): 97.7213% | start point: (141,129) | end point: (283, 362)
-```
+    Output should be something like this:
+    ```shell
+    traffic light (9): 73.5039% | start point: (238,73) | end point: (251, 106)
+    truck (7): 96.6401% | start point: (95,79) | end point: (233, 287)
+    truck (7): 96.4774% | start point: (662,158) | end point: (800, 321)
+    truck (7): 96.1841% | start point: (0,77) | end point: (86, 333)
+    truck (7): 46.8695% | start point: (434,173) | end point: (559, 216)
+    car (2): 99.7370% | start point: (512,188) | end point: (741, 329)
+    car (2): 99.2533% | start point: (260,191) | end point: (422, 322)
+    car (2): 99.0333% | start point: (425,201) | end point: (547, 309)
+    car (2): 83.3919% | start point: (386,210) | end point: (437, 287)
+    car (2): 75.8621% | start point: (73,199) | end point: (102, 274)
+    car (2): 39.1925% | start point: (386,206) | end point: (442, 240)
+    bicycle (1): 76.3121% | start point: (189,298) | end point: (253, 402)
+    person (0): 97.7213% | start point: (141,129) | end point: (283, 362)
+    ```
 
-Yolo V3:
-```
-go build main.go && ./main --configFile=yolov3.cfg --weightsFile=yolov3.weights --imageFile=sample.jpg
-```
+    Yolo V3:
+    ```
+    go build main.go && ./main --configFile=yolov3.cfg --weightsFile=yolov3.weights --imageFile=sample.jpg
+    ```
 
-Output should be something like this:
-```shell
-truck (7): 49.5197% | start point: (0,136) | end point: (85, 311)
-car (2): 36.3747% | start point: (95,152) | end point: (186, 283)
-truck (7): 48.4384% | start point: (95,152) | end point: (186, 283)
-truck (7): 45.6590% | start point: (694,178) | end point: (798, 310)
-car (2): 76.8379% | start point: (1,145) | end point: (84, 324)
-truck (7): 25.5731% | start point: (107,89) | end point: (215, 263)
-car (2): 99.8783% | start point: (511,185) | end point: (748, 328)
-car (2): 99.8194% | start point: (261,189) | end point: (427, 322)
-car (2): 99.6408% | start point: (426,197) | end point: (539, 311)
-car (2): 74.5610% | start point: (692,186) | end point: (796, 316)
-car (2): 72.8053% | start point: (388,206) | end point: (437, 276)
-bicycle (1): 72.2932% | start point: (178,270) | end point: (268, 406)
-person (0): 97.3026% | start point: (143,135) | end point: (268, 343)
-```
+    Output should be something like this:
+    ```shell
+    truck (7): 49.5197% | start point: (0,136) | end point: (85, 311)
+    car (2): 36.3747% | start point: (95,152) | end point: (186, 283)
+    truck (7): 48.4384% | start point: (95,152) | end point: (186, 283)
+    truck (7): 45.6590% | start point: (694,178) | end point: (798, 310)
+    car (2): 76.8379% | start point: (1,145) | end point: (84, 324)
+    truck (7): 25.5731% | start point: (107,89) | end point: (215, 263)
+    car (2): 99.8783% | start point: (511,185) | end point: (748, 328)
+    car (2): 99.8194% | start point: (261,189) | end point: (427, 322)
+    car (2): 99.6408% | start point: (426,197) | end point: (539, 311)
+    car (2): 74.5610% | start point: (692,186) | end point: (796, 316)
+    car (2): 72.8053% | start point: (388,206) | end point: (437, 276)
+    bicycle (1): 72.2932% | start point: (178,270) | end point: (268, 406)
+    person (0): 97.3026% | start point: (143,135) | end point: (268, 343)
+    ```
 
 ## Documentation