Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
| Model | Test Size | Param. | FLOPs | APbox | APmask |
|---|---|---|---|---|---|
| GELAN-C-SEG | 640 | 27.4M | 144.6G | 52.3% | 42.4% |
Conda Environment Setup
# Create the Conda environment
conda env create -f environment.yml
# Activate the environment
conda activate yolov9segconda
# Run prediction
python predict.py
@article{wang2024yolov9,
title={{YOLOv9}: Learning What You Want to Learn Using Programmable Gradient Information},
author={Wang, Chien-Yao and Liao, Hong-Yuan Mark},
booktitle={arXiv preprint arXiv:2402.13616},
year={2024}
}
@article{chang2023yolor,
title={{YOLOR}-Based Multi-Task Learning},
author={Chang, Hung-Shuo and Wang, Chien-Yao and Wang, Richard Robert and Chou, Gene and Liao, Hong-Yuan Mark},
journal={arXiv preprint arXiv:2309.16921},
year={2023}
}