RegDeepDanbooru | Yet another deep danbooru tagger but using RegNet
kandi X-RAY | RegDeepDanbooru Summary
kandi X-RAY | RegDeepDanbooru Summary
RegDeepDanbooru is a Python library. RegDeepDanbooru has no bugs, it has no vulnerabilities and it has low support. However RegDeepDanbooru build file is not available. You can download it from GitHub.
Yet another deep danbooru tagger but using RegNet
Yet another deep danbooru tagger but using RegNet
Support
Quality
Security
License
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Support
RegDeepDanbooru has a low active ecosystem.
It has 12 star(s) with 2 fork(s). There are 1 watchers for this library.
It had no major release in the last 12 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 RegDeepDanbooru is v1.0
Quality
RegDeepDanbooru has 0 bugs and 0 code smells.
Security
RegDeepDanbooru has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
RegDeepDanbooru code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
RegDeepDanbooru 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
RegDeepDanbooru releases are available to install and integrate.
RegDeepDanbooru has no build file. You will be need to create the build yourself to build the component from source.
It has 1999 lines of code, 218 functions and 34 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed RegDeepDanbooru and discovered the below as its top functions. This is intended to give you an instant insight into RegDeepDanbooru implemented functionality, and help decide if they suit your requirements.
- Plot error curves
- Prepare plot data
- Return a list of color colors
- Builds the model
- Assert that the configuration is valid
- Log model information
- Cache the config urls
- Run num_proc on num_proc
- Compute the training time for the given loss function
- Calculate forward pass time
- Construct an AnyNet module
- Save the checkpoint
- Randomly crop an image
- Load data
- Configure logging
- Create a pyplot plot of the error curves
- Update stats
- Construct the ResBlock module
- Log JSON stats to logger
- Construct a test loader
- Calculate learning rate based on given epoch
- Construct a training loader
- Constructor function
- Adjust ws andgs
- Returns the path to the last checkpoint
- Constructor
Get all kandi verified functions for this library.
RegDeepDanbooru Key Features
No Key Features are available at this moment for RegDeepDanbooru.
RegDeepDanbooru Examples and Code Snippets
No Code Snippets are available at this moment for RegDeepDanbooru.
Community Discussions
No Community Discussions are available at this moment for RegDeepDanbooru.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install RegDeepDanbooru
You can download it from GitHub.
You can use RegDeepDanbooru 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 RegDeepDanbooru 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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