Updated: Aug 22, 2023
1-Click Kit 
Real-time object tracking system is a technology used to track objects in real time. It can be used for security purposes or for commercial purposes. Tracking can be done for video formats and live streaming webcam.
The real-time object tracking system has many applications, such as in retail stores, airports, stadiums and other places where security is important. The system can be used to monitor customer activity in stores, track inventory and detect shoplifting. It can also be used to increase safety in public places by monitoring the movements of pedestrians or vehicles.
Deployment Information
Object tracking system created using this kit are added in this section. The solution is available as a package to download from the source code repository.
- Download, extract and double-click the kit installer file to install the kit.
- After the successful installation of the kit, press 'Y' to run the kit.
- To run the kit manually, press 'N' and locate the zip file 'Yolov5_DeepSort_Pytorch'.
- Open the command prompt in the 'Yolov5_DeepSort_Pytorch' directory and run the command 'jupyter notebook'
- Locate and open the 'YOLOV5_DEEPSORT_NOTEBOOK.ipynb' notebook from the Jupyter Notebook browser window.
- Execute cells in the notebook.
Click on the button below to download the solution and follow the deployment instructions to begin set-up. This 1-click kit has all the required dependencies and resources you may need to build your Object Tracking App.
For a detailed tutorial on installing & executing the solution as well as learning resources including training & certification opportunities, please visit the OpenWeaver Community
Development Environment
VSCode and Jupyter Notebook can be used for development and debugging. Jupyter Notebook is a web-based interactive environment often used for experiments, whereas VSCode is used to get a typical experience of IDE for developers.
jupyterby jupyter
14404 Version:CurrentJupyter metapackage for installation, docs and chat
jupyterby jupyter
Python 14404 Version:Current License: Permissive (BSD-3-Clause)
Object Detection and Tracking
The following libraries have a set of pre-trained models which could be used to identify objects and track them from live streaming videos.
yolov5by ultralytics
39392 Version:v7.0YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
yolov5by ultralytics
Python 39392 Version:v7.0 License: Strong Copyleft (AGPL-3.0)
easydictby makinacorpus
169 Version:1.7Access dict values as attributes (works recursively)
easydictby makinacorpus
Python 169 Version:1.7 License: Weak Copyleft (LGPL-3.0)
pytorchby pytorch
67874 Version:v2.0.1Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorchby pytorch
Python 67874 Version:v2.0.1 License: Others (Non-SPDX)
Machine Learning Libraries
The following libraries could be used to create machine learning models which focus on the vision, extraction of data, image processing, and more. Thus making it handy for the users.
numpyby numpy
23755 Version:v1.25.0rc1The fundamental package for scientific computing with Python.
numpyby numpy
Python 23755 Version:v1.25.0rc1 License: Permissive (BSD-3-Clause)
pandasby pandas-dev
38689 Version:v2.0.2Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python 38689 Version:v2.0.2 License: Permissive (BSD-3-Clause)
Kit Solution Source
Yolov5_DeepSort_Pytorchby mikel-brostrom
2442 Version:v5.0Real-time multi-object tracker using YOLO v5 and deep sort
Yolov5_DeepSort_Pytorchby mikel-brostrom
Python 2442 Version:v5.0 License: Strong Copyleft (GPL-3.0)
Support
If you need help using this kit, you may reach us at the OpenWeaver Community.