Machine Learning: Create Human Skeleton Detection Model to inference work with C# WPF program (Want Dataset, Trained Model and Source code)
Budget: $30 – $250 CAD
Want to have Trained Human Skeleton Detection Model that use to specific to detect people body skeleton joints points,
and
Inference real time reading joints points 3D values (X, Y and Z) using web camera.
Training Model specifically to detect human body skeleton joints.
Prepare Data collect pictures for processing Dataset and training the Human Skeleton Detection Model.
Trained Human Skeleton Detection Model can inference works with C# WPF program PC using web camera.
Created C# WPF program to display the video user, drawing skeleton joints and labels to display joints, X, Y and Z values.
1. The trained model must easy for regular PC, CPU to run.
2. Does not required high-end GPU, high RAM PC...etc.
3. Able to Reading skeleton joints correctly, reliable reading, without have reading tiny delay issues, or pause or jumping reading values problems.
4. Trained Model to inference work with C# WPF program,
in MainWindows.XAML to display real time video stream of user and drawing skeleton joints points on the user images.
5. in MainWindows.XAML created labels / text block to display the joints reading X, Y and Z values.
Development platform:
Visual Studio 2013.
.NetFrameWorks, 4.5
C# WPF (Desktop) program
Requirements: Submit Data collect Pictures, Dataset, and Source code
1. Submit the Data pictures that collect to use
2. Submit the Model training guiding steps to processing the Dataset.
3. Submit the Trained Skeleton Detection Model.
4. The trained Human Skeleton Detection Model Inference to work with C# WPF program
5. Submit the C# WPF program, using web camera to reading skeleton joints 3D , X, y and Z values.
6. Development platform using Visual Studio 2013, .NET Framework 4.5
and
7. Required Sign an IP Agreement (Freelancer), Intellectual Property Transfer Agreement provide by Freelancer's service.
and
Inference real time reading joints points 3D values (X, Y and Z) using web camera.
Training Model specifically to detect human body skeleton joints.
Prepare Data collect pictures for processing Dataset and training the Human Skeleton Detection Model.
Trained Human Skeleton Detection Model can inference works with C# WPF program PC using web camera.
Created C# WPF program to display the video user, drawing skeleton joints and labels to display joints, X, Y and Z values.
1. The trained model must easy for regular PC, CPU to run.
2. Does not required high-end GPU, high RAM PC...etc.
3. Able to Reading skeleton joints correctly, reliable reading, without have reading tiny delay issues, or pause or jumping reading values problems.
4. Trained Model to inference work with C# WPF program,
in MainWindows.XAML to display real time video stream of user and drawing skeleton joints points on the user images.
5. in MainWindows.XAML created labels / text block to display the joints reading X, Y and Z values.
Development platform:
Visual Studio 2013.
.NetFrameWorks, 4.5
C# WPF (Desktop) program
Requirements: Submit Data collect Pictures, Dataset, and Source code
1. Submit the Data pictures that collect to use
2. Submit the Model training guiding steps to processing the Dataset.
3. Submit the Trained Skeleton Detection Model.
4. The trained Human Skeleton Detection Model Inference to work with C# WPF program
5. Submit the C# WPF program, using web camera to reading skeleton joints 3D , X, y and Z values.
6. Development platform using Visual Studio 2013, .NET Framework 4.5
and
7. Required Sign an IP Agreement (Freelancer), Intellectual Property Transfer Agreement provide by Freelancer's service.