Human Activity Recognition using OpenCV and Python
In this video, we will show you a project i.e, Human Activity Recognition using Image Processing in this project user have to upload any input video to model and model first it will detect and identify the human activity and posture and will gave the output as what activity is performing by human. This project model is trained on machine learning and it was trained on large dataset of videos sample. Human Activity Recognition Project developed using python programming language and tkinter library is used for developing graphical user interface.
Human Activity Recognition with OpenCV and Deep Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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