https://github.com/asadiahmad/object-detection-and-tracking

https://github.com/asadiahmad/object-detection-and-tracking

Last synced: 4 months ago
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• Host: GitHub
• URL: https://github.com/asadiahmad/object-detection-and-tracking
• Owner: AsadiAhmad
• License: mit
• Created: 2025-05-12T14:06:51.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-05-12T19:21:26.000Z (5 months ago)
• Last Synced: 2025-05-20T16:13:18.645Z (5 months ago)
• Language: Jupyter Notebook
• Size: 1.82 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Object Detection and Tracking

This project uses a pre-trained Mask R-CNN model to detect and segment objects in video frames and then applies OpenCV’s CSRT tracker to follow the largest detected object across the video. The pipeline includes downloading pre-trained models, running detections, visualizing masks and bounding boxes, and exporting a tracked output video.



  



## Tech :hammer_and_wrench: Languages and Tools :



   

   

   

   

   

   

   



- Python : Popular language for implementing Neural Network

- Jupyter Notebook : Best tool for running python cell by cell

- Google Colab : Best Space for running Jupyter Notebook with hosted server

- OpenCV : Best Library for working with images

- Numpy : Best Library for working with arrays in python

- MatPlotLib : Library for showing the charts in python

- GDown : Download Resources from Google Drive

## 💻 Run the Notebook on Google Colab

You can easily run this code on google colab by just clicking this badge [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/AsadiAhmad/Object-Detection-and-Tracking/blob/main/Code/Object_Detection_and_Tracking.ipynb)

## 🪪 License

This project is licensed under the MIT License.