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 # yolov8-object-tracking
-YOLOv8 Object Tracking Using PyTorch, OpenCV and Ultralytics
+
+### Features
+- Object Tracks
+- Different Color for every track
+- Video/Image/WebCam/External Camera/IP Stream Supported
+
+### Coming Soon
+- Selection of specific class ID for tracking
+- Development of dashboard for YOLOv8
+
+### Train YOLOv8 on Custom Data
+- https://chr043416.medium.com/train-yolov8-on-custom-data-6d28cd348262
+
+### Steps to run Code
+- Clone the repository
+```
+https://github.com/RizwanMunawar/yolov8-object-tracking.git
+```
+
+- Goto cloned folder
+```
+cd yolov8-object-tracking
+```
+
+- Install the ultralytics package
+```
+pip install ultralytics==8.0.0
+```
+
+- Do Tracking with mentioned command below
+```
+#video file
+python yolo\v8\detect\detect_and_trk.py model=yolov8s.pt source="test.mp4" show=True
+
+#imagefile
+python yolo\v8\detect\detect_and_trk.py model=yolov8m.pt source="yolo\data\datasets\images\bus.jpg" model=yolov8m.pt
+
+#Webcam
+python yolo\v8\detect\detect_and_trk.py model=yolov8m.pt source=0 model=yolov8m.pt show=True
+
+#External Camera
+python yolo\v8\detect\detect_and_trk.py model=yolov8m.pt source=1 model=yolov8m.pt show=True
+```
+
+- Output file will be created in the working-dir/runs/detect/obj-tracking with original filename