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My implementation of the YOLO-v3 real-time object detection algorithm that identifies specific objects in videos, live feeds, or images.

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rudyorre/yolo-v3

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YOLOv3 PyTorch Implementation

This repository contains a PyTorch implementation of YOLOv3, a popular object detection algorithm. The implementation is based on the original paper and the official Darknet implementation.

Installation

Clone this repository:

git clone https://github.com/your_username/your_repository.git

Install the required packages (preferrably in a virtual environment):

pip3 install -r requirements.txt

Download the YOLOv3 weights:

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

Usage

To run the YOLOv3 detector on an image:

python3 detect.py --images imgs1 --det det

Training

(coming soon...)

Results

Here are some sample results from running the detector on the COCO dataset:

References

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My implementation of the YOLO-v3 real-time object detection algorithm that identifies specific objects in videos, live feeds, or images.

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