Deep Learning based Human Activity Recognition using CNN
Sports Activity Recognition using Image Processing, In this video will show how the sports activity is recognized from any input video. This project is trained on large dataset of video and images so that machine learning model can trained and it can identify the type of sports activity. ML model will try to analyze the human pose and predict the activity. Machine learning algorithm to recognize complex and simple sports activities such as playing basketball, tennis, cricket, etc. In this human activity recognition project user have to run python code through terminal and then it will open home page where user have to gave input any sports video and machine learning model first try to detect person or object and it analyze the activity.
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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