Transformer-man / yolo-deepsort-flask

Target detection and multi target tracking platform based on Yolo DeepSort and Flask.

YOLOv3,DeepSort and Flask Run On The Web Page

Computer terminal

Mobile terminal

Introduction

Combined with yolov3, deep sort and flask, it is a target detection and multi-target tracking platform that can run on Web pages. You can upload pictures or videos. When the image is uploaded, target detection is carried out. When the video is uploaded, multi-target tracking is carried out (the default is pedestrian, which can be changed to other objects). The mobile terminal provides an online shooting interface for real-time target detection and multi-target tracking.

Dependencies

• torch
• torchvision
• numpy
• opencv-python==4.1.2.30
• lxml
• tqdm
• flask
• seaborn
• pillow
• vizer
• numba

Quick Start

1. Check all dependencies installed

pip install -r requirements.txt

2. Download YOLOv3 parameters

cd deepsort/detector/YOLOv3/weight/
wget https://pjreddie.com/media/files/yolov3.weights
cd ../../../

3. Download deepsort parameters ckpt.t7

cd deep_sort/deep/checkpoint
# download ckpt.t7 from
https://drive.google.com/drive/folders/1xhG0kRH1EX5B9_Iz8gQJb7UNnn_riXi6 to this folder
cd ../../../

4. Or download the weight file through baidu network disk

提取码：hhbb

yolov3.weight  put in  deepsort/detector/YOLOv3/weight/
ckpt.t7        put in  deep_sort/deep/checkpoint

5. Compile nms module

cd detector/YOLOv3/nms
sh build.sh
cd ../../../

or

cd detector/YOLOv3/nms/ext
python build.py build_ext develop
cd ../../../../

6. Run

python app.py

7. If you want to configure to run on the server, please visit my blog 阿里云ECS部署python,flask项目，简单易懂，无需nginx和uwsgi

8. You can use yolov3 demo

python detector.py

##Result

References

• code: ZQPei/deep_sort_pytorch