# **YOLO-Reproduce-Summary**, July 2022.

- [YOLOv4](#YOLOv4)
- [YOLOv3](#YOLOv3)

<a name="YOLOv4"></a>

# YOLOv4

[YOLO]( https://github.com/AlexeyAB/darknet) reproduce summary (now based on [YOLOv4](https://arxiv.org/abs/2004.10934))

Paper: https://arxiv.org/abs/2004.10934

Code: https://github.com/AlexeyAB/darknet

- [PyTorch](#PyTorch)
- [TensorFlow](#TensorFlow)
- [Keras](#Keras)
- [Paddle](#Paddle)
- [Caffe](#Caffe)
- [TensorRT](#TensorRT)
- [tkDNN](#tkDNN)
- [OpenVINO](#OpenVINO)

<a name="PyTorch"></a>

## PyTorch

| Project | Infernece | Train | star |
| ------------------------------------------------------------ | --------- | ----- | ---- |
| [PyTorch_YOLOv4](https://github.com/WongKinYiu/PyTorch_YOLOv4) | √ | √ | 1700 |
| [pytorch-YOLOv4](https://github.com/Tianxiaomo/pytorch-YOLOv4) | √ | √ | 4000 |
| [yolov4-pytorch](https://github.com/bubbliiiing/yolov4-pytorch) | √ | √ | 1600 |

<a name="TensorFlow"></a>

## TensorFlow

| Project | Infernece | Train | star |
| ------------------------------------------------------------ | --------- | ----- | ---- |
| [tensorflow-yolov4-tflite](https://github.com/hunglc007/tensorflow-yolov4-tflite) | √ | √ | 2000 |
<!-- | [YOLOv4_tensorflow](https://github.com/rrddcc/YOLOv4_tensorflow) | √ | √ | 116 | -->

<a name="Keras"></a>

## Keras

| Project | Infernece | Train | Star |
| ------------------------------------------------------------ | --------- | ----- | ---- |
| [keras-YOLOv3-model-set](https://github.com/david8862/keras-YOLOv3-model-set) | √ | √ | 591 |
| [Keras-YOLOv4](https://github.com/miemie2013/Keras-YOLOv4) | √ | √ | 446 |
| [yolov4-keras](https://github.com/bubbliiiing/yolov4-keras) | √ | √ | 480 |
| [keras-yolo4](https://github.com/Ma-Dan/keras-yolo4) | √ | √ | 383 |

<a name="PaddlePaddle"></a>

## PaddlePaddle

| Project | Infernece | Train | Star |
| ------------------------------------------------------------ | --------- | ----- | ---- |
| [Paddle-YOLOv4](https://github.com/miemie2013/Paddle-YOLOv4) | √ | √ | 38 |

<a name="Caffe"></a>

## Caffe

| Project | Infernece | Train | Star |
| ------------------------------------------------------------ | --------- | ----- | ---- |
| [caffe-yolov3](https://github.com/ChenYingpeng/caffe-yolov3) | √ | x | 465 |
| [darknet2caffe](https://github.com/ChenYingpeng/darknet2caffe) | √ | x | 169 |

<a name="TensorRT"></a>

## TensorRT

| Project | Infernece | Train | Star |
| ------------------------------------------------------------ | --------- | ----- | ---- |
| [TensorRT-YOLOv4](https://github.com/CaoWGG/TensorRT-YOLOv4) | √ | | 261 |

<a name="tkDNN"></a>

## tkDNN

| Project | Infernece | Train | Star |
| ------------------------------------------- | --------- | ----- | ---- |
| [tkDNN](https://github.com/ceccocats/tkDNN) | √ | | 658 |

<a name="OpenVINO"></a>

## OpenVINO

| Project | Infernece | Train | Star |
| ------------------------------------------------------------ | --------- | ----- | ---- |
| [OpenVINO-YOLOV4](https://github.com/TNTWEN/OpenVINO-YOLOV4) | √ | | 217 |

<a name="YOLOv3"></a>

# YOLOv3

[YOLO](https://github.com/pjreddie/darknet) reproduce summary (now based on [YOLOv3](https://pjreddie.com/media/files/papers/YOLOv3.pdf))

Paper: https://pjreddie.com/media/files/papers/YOLOv3.pdf

Code: https://github.com/pjreddie/darknet

## TensorFlow

| Project | Infernece | Train | star |
| ------------------------------------------------------------ | --------- | ----- | ---- |
| [tensorflow-yolov3](https://github.com/YunYang1994/tensorflow-yolov3) | √ | √ | 3600 |
| [YOLOv3_TensorFlow](https://github.com/wizyoung/YOLOv3_TensorFlow) | √ | √ | 1500 |
| [yolov3-tf2](https://github.com/zzh8829/yolov3-tf2) | √ | √ | 2400 |
| [tensorflow-yolo-v3](https://github.com/mystic123/tensorflow-yolo-v3) | √ | x | 889 |
| [YOLOv3-tensorflow](https://github.com/maiminh1996/YOLOv3-tensorflow) | √ | √ | 0 |

## PyTorch

| Project | Infernece | Train | star |
| ------------------------------------------------------------ | --------- | ----- | ---- |
| [PyTorch-YOLOv3](https://github.com/eriklindernoren/PyTorch-YOLOv3) | √ | √ | 6700 |
| [yolov3](https://github.com/ultralytics/yolov3) | √ | √ | 8800 |
| [pytorch-yolo-v3](https://github.com/ayooshkathuria/pytorch-yolo-v3) | √ | x | 3200 |
| [YOLO_v3_tutorial_from_scratch](https://github.com/ayooshkathuria/YOLO_v3_tutorial_from_scratch) | √ | x | 2200 |
| [YOLOv3_PyTorch](https://github.com/BobLiu20/YOLOv3_PyTorch) | √ | √ (read-only) | 958 |
| [PyTorch_YOLOv3](https://github.com/DeNA/PyTorch_YOLOv3) | √ | √ (read-only) | 431 |

## Keras

| Project | Infernece | Train | Star |
| ------------------------------------------------------------ | --------- | ----- | ---- |
| [keras-yolo3](https://github.com/qqwweee/keras-yolo3) | √ | √ | 7000 |
| [YOLOv3](https://github.com/xiaochus/YOLOv3) | √ | x | 600 |
| [keras-YOLOv3-mobilenet](https://github.com/Adamdad/keras-YOLOv3-mobilenet) | √ | √ | 566 |
| [keras-YOLOv3-model-set](https://github.com/david8862/keras-YOLOv3-model-set) | √ | √ | 591 |

## Caffe

| Project | Infernece | Train | Star |
| ------------------------------------------------------------ | --------- | ----- | ---- |
| [MobileNet-YOLO](https://github.com/eric612/MobileNet-YOLO) | √ | √ | 870 |
| [caffe-yolov3](https://github.com/ChenYingpeng/caffe-yolov3) | √ | x | 465 |
| [Caffe-YOLOv3-Windows](https://github.com/eric612/Caffe-YOLOv3-Windows) | √ | √ | 213 |

## MXNet

| Project | Infernece | Train | Star |
| ------------------------------------------------------------ | --------- | ----- | ---- |
| [gluoncv](https://github.com/dmlc/gluon-cv/tree/master/gluoncv/model_zoo/yolo) | √ | √ | 5200 |