# deep-learning-for-object-detection-yolov2

**Repository Path**: code_lixin/deep-learning-for-object-detection-yolov2

## Basic Information

- **Project Name**: deep-learning-for-object-detection-yolov2
- **Description**: Code Files for "Deep Learning for Object Detection" video series
- **Primary Language**: Unknown
- **License**: GPL-3.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-07-03
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Deep Learning for Object Detection Series

Copyright 2019-2020 The MathWorks, Inc.

[![View Deep Learning For Object Detection on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://www.mathworks.com/matlabcentral/fileexchange/73954-deep-learning-for-object-detection)

## Introduction

This repository consists of the code files for the following videos, dataset used for this code can be found here : https://drive.google.com/drive/u/1/folders/1bhohhPoZy03ffbM_rl8ZUPSvJ5py8rM- ;

1. Data Preprocessing for Deep Learning : https://www.mathworks.com/videos/data-preprocessing-for-deep-learning-1578031296056.html 
2. Design and Train a YOLOv2 Network in MATLAB : https://www.mathworks.com/videos/design-and-train-a-yolov2-network-in-matlab-1578033233204.html
3. Import Pretrained Deep Learning Networks into MATLAB : https://www.mathworks.com/videos/import-pretrained-deep-learning-networks-into-matlab-1578034627950.html
4. Deploy YOLOv2 to an NVIDIA Jetson : https://www.mathworks.com/videos/deploy-yolov2-to-an-nvidia-jetson-1578035533852.html

## Set-Up

1. Clone the repository.
2. Launch Deeplearningforobjectdetection.prj to set-up the project environment.
3. Download the data from this google drive folder : https://drive.google.com/drive/u/1/folders/1bhohhPoZy03ffbM_rl8ZUPSvJ5py8rM- 
4. The first time you run this example, edit appropriately and run ***adjustGroundTruthPaths.m*** to adjust the ground truth data objects' source path for your computer. Instructions on the edits needed are in the code file.

## Folder Structure

1. **Codefiles** folder consists of matlab code files for each of the videos
2. **Utilities** folder consists of .mat files required for uplaoding pre trained content


for any questions contact the authors : roboticsarena@mathworks.com