addCodec

-# YOLOv4 + Deep_SORT
-
-<img src="https://github.com/yehengchen/Object-Detection-and-Tracking/blob/master/OneStage/yolo/deep_sort_yolov4/output/comparison.png" width="81%" height="81%"> <img src="https://github.com/yehengchen/video_demo/blob/master/video_demo/output.gif" width="40%" height="40%"> <img src="https://github.com/yehengchen/video_demo/blob/master/video_demo/TownCentreXVID_output.gif" width="40%" height="40%">
-
-__Object Tracking & Counting Demo - [[BiliBili]](https://www.bilibili.com/video/BV1Ug4y1i71w#reply3014975828)  [[Chinese Version]](https://blog.csdn.net/weixin_38107271/article/details/96741706)__
-## Requirement
-__Development Environment: [Deep-Learning-Environment-Setup](https://github.com/yehengchen/Ubuntu-16.04-Deep-Learning-Environment-Setup)__ 
-
-* OpenCV
-* sklean
-* pillow
-* numpy 1.15.0
-* torch 1.3.0
-* tensorflow-gpu 1.13.1
-* CUDA 10.0
-***
-
-It uses:
-
-* __Detection__: [YOLOv4](https://github.com/yehengchen/Object-Detection-and-Tracking/tree/master/OneStage/yolo/Train-a-YOLOv4-model) to detect objects on each of the video frames. - 用自己的数据训练YOLOv4模型
-
-* __Tracking__: [Deep_SORT](https://github.com/nwojke/deep_sort) to track those objects over different frames.
-
-*This repository contains code for Simple Online and Realtime Tracking with a Deep Association Metric (Deep SORT). We extend the original SORT algorithm to integrate appearance information based on a deep appearance descriptor. See the [arXiv preprint](https://arxiv.org/abs/1703.07402) for more information.*
-
-## 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 [[yolov4.weights]](https://drive.google.com/file/d/1cewMfusmPjYWbrnuJRuKhPMwRe_b9PaT/view) [[Baidu]](https://pan.baidu.com/s/1jRudrrXAS3DRGqT6mL4L3A ) - `mnv6`__ and place it in `deep_sort_yolov4/model_data/`
-
-*Here you can download my trained [[yolo4_weight.h5]](https://pan.baidu.com/s/1JuT4KCUFaE2Gvme0_S37DQ ) - `w17w` weights for detecting person/car/bicycle,etc.*
-
-__3. Convert the Darknet YOLO model to a Keras model:__
-```
-$ python convert.py model_data/yolov4.cfg model_data/yolov4.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
-```
-
-__5. Can change [deep_sort_yolov3/yolo.py] `__Line 100__` to your tracking object__
-
-*DeepSORT pre-trained weights using people-ReID datasets only for person*
-```
-    if predicted_class != args["class"]:
-               continue
-    
-    if predicted_class != 'person' and predicted_class != 'car':
-               continue
-```
-
-## Train on Market1501 & MARS
-*People Re-identification model*
-
-[cosine_metric_learning](https://github.com/nwojke/cosine_metric_learning) for training a metric feature representation to be used with the deep_sort tracker.
-
-## Citation
-
-### YOLOv4 :
-
-    @misc{bochkovskiy2020yolov4,
-    title={YOLOv4: Optimal Speed and Accuracy of Object Detection},
-    author={Alexey Bochkovskiy and Chien-Yao Wang and Hong-Yuan Mark Liao},
-    year={2020},
-    eprint={2004.10934},
-    archivePrefix={arXiv},
-    primaryClass={cs.CV}
-    }
-
-### 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:Deep-SORT-YOLOv4@[LeonLok](https://github.com/LeonLok/Deep-SORT-YOLOv4)
-

-Intput_video
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