Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0
kandi X-RAY | Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 Summary
kandi X-RAY | Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 Summary
Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 is a Python library. Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 build file is not available. You can download it from GitHub.
Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0
Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0
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Support
Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 is current.
Quality
Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 has no bugs reported.
Security
Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 releases are not available. You will need to build from source code and install.
Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 and discovered the below as its top functions. This is intended to give you an instant insight into Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 implemented functionality, and help decide if they suit your requirements.
- Compute the CPM .
- Define the image for inference .
- Inverse inference function .
- Downsamples x_image .
- Downsamples x_image .
- Inverse inference function .
- Infer the person network .
- Downsamples x_image .
- Test the person network .
- Create training image .
Get all kandi verified functions for this library.
Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 Key Features
No Key Features are available at this moment for Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0.
Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 Examples and Code Snippets
No Code Snippets are available at this moment for Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0.
Community Discussions
No Community Discussions are available at this moment for Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0
You can download it from GitHub.
You can use Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Pose-Estimation-on-Depth-Images-of-Clinical-Patients-V2.0 like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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