https://github.com/d36choi/hisafety

deepsort + yolov3 + velocity-tracker
https://github.com/d36choi/hisafety

deepsort speed-estimation yolov3

Last synced: 10 months ago
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deepsort + yolov3 + velocity-tracker

• Host: GitHub
• URL: https://github.com/d36choi/hisafety
• Owner: d36choi
• License: gpl-3.0
• Created: 2020-08-25T08:17:31.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-12-20T14:32:54.000Z (about 5 years ago)
• Last Synced: 2025-03-08T17:56:11.564Z (11 months ago)
• Topics: deepsort, speed-estimation, yolov3
• Language: Python
• Homepage:
• Size: 5.18 MB
• Stars: 20
• Watchers: 1
• Forks: 5
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# YOLOv3 + Deep_SORT Vehicle Speed Estimation Tracker

![grab-landing_page](https://github.com/d36choi/hisafety/blob/master/Velocity_tracker_(two_roads).gif)

![demo.JPG](./demo.JPG)

* __demo Video__: https://youtu.be/Dn9S8p49dqE

## team member

:runner: Choi sanghyun

:runner: Kim sungjo

:runner: Park meenhee

## dependencies

* OpenCV

* sklean

* pillow

* numpy 1.15.0

* tensorflow-gpu 1.13.1

* CUDA 10.0

***

It uses:

* __Detection__: [YOLOv3](https://github.com/yehengchen/ObjectDetection/tree/master/OneStage/yolo/yolov3)

* __Tracking__: [Deep_SORT](https://github.com/nwojke/deep_sort)

* __->__:[object detection and tracking (python)](https://github.com/yehengchen/Object-Detection-and-Tracking/tree/master/OneStage/yolo/deep_sort_yolov3)

## Quick Start

__0.Requirements__

    pip install -r requirements.txt

    

__1. Download the code to your computer.__

    

    git clone https://github.com/yehengchen/Object-Detection-and-Tracking.git

    

__2. Download [[yolov3.weights]](https://pjreddie.com/media/files/yolov3.weights)__ and place it in `deep_sort_yolov3/model_data/`

__3. Convert the Darknet YOLO model to a Keras model:__

```

$ python convert.py model_data/yolov3.cfg model_data/yolov3.weights model_data/yolo.h5

``` 

__4. Run the YOLO_DEEP_SORT:__

```

$ python main.py -c [CLASS NAME] -i [INPUT VIDEO PATH]

$ python main.py -c person -i ./test_video/testvideo.avi

```

## Citation

### YOLOv3 :

    @article{yolov3,

    title={YOLOv3: An Incremental Improvement},

    author={Redmon, Joseph and Farhadi, Ali},

    journal = {arXiv},

    year={2018}

    }

### Deep_SORT :

    @inproceedings{Wojke2017simple,

    title={Simple Online and Realtime Tracking with a Deep Association Metric},

    author={Wojke, Nicolai and Bewley, Alex and Paulus, Dietrich},

    booktitle={2017 IEEE International Conference on Image Processing (ICIP)},

    year={2017},

    pages={3645--3649},

    organization={IEEE},

    doi={10.1109/ICIP.2017.8296962}

    }

    @inproceedings{Wojke2018deep,

    title={Deep Cosine Metric Learning for Person Re-identification},

    author={Wojke, Nicolai and Bewley, Alex},

    booktitle={2018 IEEE Winter Conference on Applications of Computer Vision (WACV)},

    year={2018},

    pages={748--756},

    organization={IEEE},

    doi={10.1109/WACV.2018.00087}

    }

    

## Reference

#### Github:deep_sort@[Nicolai Wojke nwojke](https://github.com/nwojke/deep_sort)

#### Github:deep_sort_yolov3@[Qidian213 ](https://github.com/Qidian213/deep_sort_yolov3)

#### Github:Object-Detection-and-Tracking@[yehengchen](https://github.com/yehengchen/Object-Detection-and-Tracking)