Yolox-Pip: This is a packaged version of the YOLOX for easy installation and use.

Overview

This repo is a packaged version of the YOLOX for easy installation and use.

Installation

pip install yoloxdetect

Yolox Inference

from yoloxdetect import YoloxDetector

model = YoloxDetector(
    model_path = "kadirnar/yolox_s-v0.1.1", # or "data/weights/yolox_s.pth"
    config_path = "configs.yolox_s",
    device = "cuda:0",
    hf_model=True,
)
model.classes = None
model.conf = 0.25
model.iou = 0.45
model.show = False
model.save = True

pred = model.predict(image='data/images', img_size=640)

Citation

 @article{yolox2021,
  title={YOLOX: Exceeding YOLO Series in 2021},
  author={Ge, Zheng and Liu, Songtao and Wang, Feng and Li, Zeming and Sun, Jian},
  journal={arXiv preprint arXiv:2107.08430},
  year={2021}
}