Darknet

This repository contains the code for Darknet, an open-source neural network framework. Follow the steps below to clone the repository, build Darknet, download the weights, and run the object detector.

Installation and Benchmarking

On Host

1. Clone the darknet repository

2. Change your current directory to the cloned repository:

   cd darknet

3. Build Darknet by running the make command:

  make

4. Download the weights for the YOLOv3 model using wget:

   wget https://pjreddie.com/media/files/yolov3.weights

5. Run the object detector and benchmark by executing the following command:

  ./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg

6. You will see some output like this:

layer     filters    size              input                output
    0 conv     32  3 x 3 / 1   416 x 416 x   3   ->   416 x 416 x  32  0.299 BFLOPs
    1 conv     64  3 x 3 / 2   416 x 416 x  32   ->   208 x 208 x  64  1.595 BFLOPs
    .......
  105 conv    255  1 x 1 / 1    52 x  52 x 256   ->    52 x  52 x 255  0.353 BFLOPs
  106 detection
truth_thresh: Using default '1.000000'
Loading weights from yolov3.weights...Done!
data/dog.jpg: Predicted in 0.029329 seconds.
dog: 99%
truck: 93%
bicycle: 99%

On Beaglebone AI-64

1. Modify the Makefile on Your Laptop

On your laptop, navigate to the Darknet source code directory. Open the Makefile and locate the following lines:

CC=gcc
CPP=g++

Replace them with

CC=aarch64-linux-gnu-gcc
CPP=aarch64-linux-gnu-gcc

These changes configure Darknet to use the aarch64-linux-gnu-gcc cross-compiler for compilation.

2. Cross-Compile Darknet

With the Makefile configured for cross-compilation, you can now compile Darknet on BeagleBoard AI64:

CC=arm-linux-gnueabi-gcc make -j

3. Transfer Compiled Files to BeagleBoard AI64

To transfer the compiled Darknet files from your laptop to BeagleBoard AI64, use the SCP (Secure Copy Protocol). Run the following command on your laptop:

scp /path/to/compiled/darknet beagle@beagleboard-ai64:/destination/on/beagleboard

In my case, the command is

scp -r ./darknet debian@beaglebone.local:/home/debian

4. Run Darknet on BeagleBoard AI64

You can now execute Darknet on your BeagleBoard AI64:

./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg