YOLOv8 Segmentation with DeepSORT Object Tracking(ID + Trails)
Google Colab File Link (A Single Click Solution)
The google colab file link for yolov8 segmentation and tracking is provided below, you can check the implementation in Google Colab, and its a single click implementation ,you just need to select the Run Time as GPU, and click on Run All.
YouTube Video Tutorial Link
YOLOv8 with DeepSORT Object Tracking
Object Segmentation and Tracking (ID + Trails) using YOLOv8 on Custom Data
Google Colab File Link (A Single Click Solution)
YouTube Video Tutorial Link
Steps to run Code
- Clone the repository
git clone https://github.com/MuhammadMoinFaisal/YOLOv8_Segmentation_DeepSORT_Object_Tracking.git
- Goto the cloned folder.
cd YOLOv8_Segmentation_DeepSORT_Object_Tracking
- Install the Dependencies
pip install -e '.[dev]'
- Setting the Directory.
cd ultralytics/yolo/v8/segment
- Downloading the DeepSORT Files From The Google Drive
https://drive.google.com/drive/folders/1kna8eWGrSfzaR6DtNJ8_GchGgPMv3VC8?usp=sharing
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After downloading the DeepSORT Zip file from the drive, unzip it go into the subfolders and place the deep_sort_pytorch folder into the ultralytics/yolo/v8/segment folder
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Downloading a Sample Videos from the Google Drive
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Demo Video 1
gdown "https://drive.google.com/uc?id=19P9Cf9UiJ9gU9KHnAfud6hrFOgobETTX"
- Demo Video 2
gdown "https://drive.google.com/uc?id=1rjBn8Fl1E_9d0EMVtL24S9aNQOJAveR5&confirm=t"
- Demo Video 3
gdown "https://drive.google.com/uc?id=1aL0XIoOQlHf9FBvUx3FMfmPbmRu0-rF-&confirm=t"
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Run the code with mentioned command below.
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For yolov8 segmentation + Tracking
python predict.py model=yolov8x-seg.pt source="test1.mp4"
RESULTS
Object Segmentation and DeepSORT Tracking (ID + Trails) and Vehicles Counting
Object Segmentation and DeepSORT Tracking (ID + Trails)
Watch the Complete Step by Step Explanation
- Video Tutorial Link
YouTube Link
