yolov7-object-tracking
New Features
- Added Label for Every Track
- Code can run on Both (CPU & GPU)
- Video/WebCam/External Camera/IP Stream Supported
Coming Soon
- Development of streamlit dashboard for Object Tracking
Ready to Use Google Colab
Steps to run Code
- Clone the repository.
git clone https://github.com/RizwanMunawar/yolov7-object-tracking.git
- Goto the cloned folder.
cd yolov7-object-tracking
- Create a virtual envirnoment (Recommended, If you dont want to disturb python packages)
### For Linux Users
python3 -m venv yolov7objtracking
source yolov7objtracking/bin/activate
### For Window Users
python3 -m venv yolov7objtracking
cd yolov7objtracking
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 (by default, pretrained yolov7 weights will be automatically downloaded into the working directory if they don't already exist).
# for detection only
python detect.py --weights yolov7.pt --source "your video.mp4"
#if you want to change source file
python detect_and_track.py --weights yolov7.pt --source "your video.mp4"
#for WebCam
python detect_and_track.py --weights yolov7.pt --source 0
#for External Camera
python detect_and_track.py --weights yolov7.pt --source 1
#For LiveStream (Ip Stream URL Format i.e "rtsp://username:pass@ipaddress:portno/video/video.amp")
python detect_and_track.py --source "your IP Camera Stream URL" --device 0
#for specific class (person)
python detect_and_track.py --weights yolov7.pt --source "your video.mp4" --classes 0
#for colored tracks
python detect_and_track.py --weights yolov7.pt --source "your video.mp4" --colored-trk
#for saving tracks centroid, track id and bbox coordinates
python detect_and_track.py --weights yolov7.pt --source "your video.mp4" --save-txt --save-bbox-dim
- Output file will be created in the
working-dir/runs/detect/obj-trackingwith original filename
Results
| YOLOv7 Detection Only | YOLOv7 Object Tracking with ID | YOLOv7 Object Tracking with ID and Label |
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References
My Medium Articles
- https://muhammadrizwanmunawarvisionai.blogspot.com/2023/04/maximizing-efficiency-on-construction.html 🔥
- https://muhammadrizwanmunawarvisionai.blogspot.com/2023/03/instance-segmentation-vs-semantic.html
✅ - https://muhammadrizwanmunawarvisionai.blogspot.com/2023/03/mastering-image-classification.html
🔥 - https://muhammadrizwanmunawarvisionai.blogspot.com/2023/03/object-detection-in-agriculture.html
✅ - https://muhammadrizwanmunawarvisionai.blogspot.com/2023/03/techniques-for-accurate-data-annotation.html
✅ - https://muhammadrizwanmunawarvisionai.blogspot.com/2023/03/object-tracking-using-bytetrack.html
🔥 - https://muhammadrizwanmunawarvisionai.blogspot.com/2023/03/pose-estimation-computer-vision.html
✅ - 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
For more details, you can reach out to me on Medium or can connect with me on LinkedIn