itsekiri-tatashe/nigerian-headwear
Type de record:
project
Créateur:
its
Hôte:
Detecting Native Headwear worn in Nigeria using Computer Vision
# Nigerian Native Headwear Detection: Project Overview
___
The purpose of this project was to use Object Detection (Computer Vision) detect some of the most popular traditional headgears worn in Nigeria namely;
* Abeti Aja from the South West,
* Awolowo from the South West,
* Fila from the South West,
* Gele from the South West;
* Fula from the North;
* Okpu-Ozo from the South-East
* Okpu-Agu from the South-East
* the Turban
___
* Used **Google Web Scraper** to collect the data/images
* Performed data-label annonatation using **Label Studio**
* Used **YoloV5** to train **Object Detection** model on the dataset
___
## Model Performamce
#### Confusion Matrix
#### F1_curve
#### PR_curve
___
## How to Detect Images
* Clone repo and install requirements.txt in a
**Python>=3.7.0** environment, including
**PyTorch>=1.7**.
```bash
git clone github.com # clone
cd yolov5
pip install -r requirements.txt # install
```
* Add the images or videos you want to detect in the ```detect-img/``` folder
* Run this command in your terminal
```bash
python detect.py --weights best.pt --source detect-img/img-name.jpg
detect-img/img-video.mp4
'youtu.be' # YouTube
0 #Webcam
```
* Go to the `runs/detect/` folder to see the results!