- YOLOv5 Object Tracking Using Sort Tracker
- Added Object blurring Option
- Added Support of Streamlit Dashboard
- Code can run on Both (CPU & GPU)
- Video/WebCam/External Camera/IP Stream Supported
- Option to crop and save detected objects
- Dashboard design enhancement
- Python 3.9 (Python 3.7/3.8 can work in some cases)
- Clone the repository
git clone https://github.com/RizwanMunawar/yolov5-object-tracking.git
- Goto the cloned folder.
cd yolov5-object-tracking
- Create a virtual envirnoment (Recommended, If you dont want to disturb python packages)
### For Linux Users
python3 -m venv yolov5objtracking
source yolov5objtracking/bin/activate
### For Window Users
python3 -m venv yolov5objtracking
cd yolov5objtracking
cd Scripts
activate
cd ..
cd ..
- Upgrade pip with mentioned command below.
pip install --upgrade pip
- Install requirements with mentioned command below.
pip install -r requirements.txt
- Run the code with mentioned command below.
#for detection only
python ob_detect.py --weights yolov5s.pt --source "your video.mp4"
#for detection of specific class (person)
python ob_detect.py --weights yolov5s.pt --source "your video.mp4" --classes 0
#for object detection + object tracking
python obj_det_and_trk.py --weights yolov5s.pt --source "your video.mp4"
#for object detection + object tracking + object blurring
python obj_det_and_trk.py --weights yolov5s.pt --source "your video.mp4" --blur-obj
#for object detection + object tracking + object blurring + different color for every bounding box
python obj_det_and_trk.py --weights yolov5s.pt --source "your video.mp4" --blur-obj --color-box
#for object detection + object tracking of specific class (person)
python obj_det_and_trk.py --weights yolov5s.pt --source "your video.mp4" --classes 0
- Output file will be created in the working-dir/runs/detect/exp with original filename
- If you want to run detection on streamlit app (Dashboard), you can use mentioned command below.
Note: Make sure, to add video in the yolov5-object-tracking folder, that you want to run on streamlit dashboard. Otherwise streamlit server will through an error.
python -m streamlit run app.py
| YOLOv5 Object Detection | YOLOv5 Object Tracking | YOLOv5 Object Tracking + Object Blurring | YOLOv5 Streamlit Dashboard |
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- https://medium.com/augmented-startups/yolov7-training-on-custom-data-b86d23e6623
- https://medium.com/augmented-startups/roadmap-for-computer-vision-engineer-45167b94518c
- https://medium.com/augmented-startups/yolor-or-yolov5-which-one-is-better-2f844d35e1a1
- https://medium.com/augmented-startups/train-yolor-on-custom-data-f129391bd3d6
- https://medium.com/augmented-startups/develop-an-analytics-dashboard-using-streamlit-e6282fa5e0f
- https://medium.com/augmented-startups/jetson-nano-is-rapidly-involving-in-computer-vision-solutions-5f588cb7c0db
- https://chr043416.medium.com/how-can-computer-vision-products-help-in-warehouses-aa1dd95ec79c
For more details, you can reach out to me on Medium or can connect with me on LinkedIn
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