Realtime YOLO Monster Detection With Non Maximum Supression

Last update: Oct 7, 2022

Related tags

Deep Learning Realtime-YOLO-Monster-Detection-With-Non-Max-Supression

Overview

Realtime-YOLO-Monster-Detection-With-Non-Maximum-Supression

Introduction
Requirements
Some of the Corretly Classified Samples
Some of the Misclassified Samples
Final Remarks

1. Introduction

This repository contains detection of 6 monsters, "Zombie","Armored","Immolator","Crowl","Hive","Hellhound" on a Crytek game called Hunt Showdown.

The reason I work on this game is that, I really enjoy playing this game (Even if i don't really have chance to play so often), also I admire developers and designers of this game. This game has a philosophy, not realy that straight forward as if it is only kill hunters, take the reward and go to the exit.

The code is design to test on youtube videos since both it is real time and easy to test.

2. Requirements

opencv-python, numpy, and pafy modules are required. If you don't have

pip install numpy
pip install opencv-python
pip install pafy

helps.

3. Some of the Correctly Classified Samples

4. Some of the Misclassified Samples

5. Final Remarks

The model does not perform well enough, since 250 images used for training and 70 for testing.

It needs to be fed with larger amount of data, especially for immolator label.

But it is OK :)

Enjoy !!

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