- Added Label for Every Track
- Code can run on Both (CPU & GPU)
- Video/WebCam/External Camera/IP Stream Supported
- Clone the repository.
git clone https://github.com/noorkhokhar99/people-tracking-yolov7.git
- Goto the cloned folder.
cd yolov7-object-tracking
- Create a envirnoment (Recommended, If you dont want to disturb python packages)
### For Linux Users
python3 -m pip install -r requirements.txt
### For Window Users
cd yolov7objtracking
python3 -m pip install -r requirements.txt
- 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 specific class (person)
python detect_and_track.py --weights yolov7.pt --source "your video.mp4" --classes 0
- Output file will be created in the
working-dir/runs/detect/obj-trackingwith original filename
