clothesgeneration | plugin allows clothing brands to convert manufacturing
kandi X-RAY | clothesgeneration Summary
kandi X-RAY | clothesgeneration Summary
clothesgeneration is a Python library. clothesgeneration has no bugs, it has no vulnerabilities and it has low support. However clothesgeneration build file is not available. You can download it from GitHub.
This plugin allows clothing brands to convert manufacturing blueprints of shorts and shirts into virtual 3D models of clothes. These clothing models can then be browsed via our web-based dressing room application.
This plugin allows clothing brands to convert manufacturing blueprints of shorts and shirts into virtual 3D models of clothes. These clothing models can then be browsed via our web-based dressing room application.
Support
Quality
Security
License
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Support
clothesgeneration has a low active ecosystem.
It has 4 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of clothesgeneration is current.
Quality
clothesgeneration has 0 bugs and 0 code smells.
Security
clothesgeneration has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
clothesgeneration code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
clothesgeneration does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
clothesgeneration releases are not available. You will need to build from source code and install.
clothesgeneration 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 clothesgeneration and discovered the below as its top functions. This is intended to give you an instant insight into clothesgeneration implemented functionality, and help decide if they suit your requirements.
- This method is called when the task is finished
- Removes a remesh
- Apply density distortion
- Removes the symmetry of the object
- Wrapper for tm_update
- Update the tension map
- Get or create a vertex group
- Return or create a vertex color
- Unregister handlers
- Remove event handlers
- Removes all properties
- Register classes
- Add properties to the mesh
- Add new handlers
- Suggest a density check
- Recommends a set of faces
- Sets up the object
- Find the first 3d region in the context
- Performs weightp computation
- Turn off vertex groups
- Update the scene
- Update the subd
Get all kandi verified functions for this library.
clothesgeneration Key Features
No Key Features are available at this moment for clothesgeneration.
clothesgeneration Examples and Code Snippets
No Code Snippets are available at this moment for clothesgeneration.
Community Discussions
No Community Discussions are available at this moment for clothesgeneration.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install clothesgeneration
You can download it from GitHub.
You can use clothesgeneration 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 clothesgeneration 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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