unity_pose3D | The action of restoring Douyin video in Unity
kandi X-RAY | unity_pose3D Summary
kandi X-RAY | unity_pose3D Summary
unity_pose3D is a Python library. unity_pose3D has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However unity_pose3D build file is not available. You can download it from GitHub.
The action of restoring Douyin video in Unity
The action of restoring Douyin video in Unity
Support
Quality
Security
License
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Support
unity_pose3D has a low active ecosystem.
It has 127 star(s) with 34 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of unity_pose3D is current.
Quality
unity_pose3D has 0 bugs and 0 code smells.
Security
unity_pose3D has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
unity_pose3D code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
unity_pose3D 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
unity_pose3D releases are not available. You will need to build from source code and install.
unity_pose3D has no build file. You will be need to create the build yourself to build the component from source.
It has 8661 lines of code, 428 functions and 83 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed unity_pose3D and discovered the below as its top functions. This is intended to give you an instant insight into unity_pose3D implemented functionality, and help decide if they suit your requirements.
- Render an animation
- Read a video
- Write prediction results
- Compute the intersection of two bounding boxes
- Return the unique tensor
- Write the results of the prediction
- Evaluate the model for a given model
- Calculates the coco - minima results
- Load weights from a weight file
- Writes results to JSON format
- Generate next epoch
- Generate next pair of pairs
- Performs the forward pass of the network
- Performs a prediction of the prediction
- Evaluate the model
- Process the video
- Process the stream
- Fetch a set of 3D positions
- Update the model
- Calculate a batch of prediction
- Update the combobox
- Perform validation
- Saves the weights to a saved file
- Train the model
- Removes joints from the graph
- Crop image from boxes
Get all kandi verified functions for this library.
unity_pose3D Key Features
No Key Features are available at this moment for unity_pose3D.
unity_pose3D Examples and Code Snippets
No Code Snippets are available at this moment for unity_pose3D.
Community Discussions
No Community Discussions are available at this moment for unity_pose3D.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install unity_pose3D
You can download it from GitHub.
You can use unity_pose3D 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 unity_pose3D 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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