CRNet | Official PyTorch Implementation of Paper CRNet | Machine Learning library
kandi X-RAY | CRNet Summary
kandi X-RAY | CRNet Summary
CRNet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. CRNet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However CRNet build file is not available. You can download it from GitHub.
This repository holds the PyTorch implementation for our paper CRNet: Classification and Regression Neural Network for Facial Beauty Prediction.
This repository holds the PyTorch implementation for our paper CRNet: Classification and Regression Neural Network for Facial Beauty Prediction.
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Quality
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Support
CRNet has a low active ecosystem.
It has 10 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
CRNet has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of CRNet is current.
Quality
CRNet has no bugs reported.
Security
CRNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
CRNet is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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CRNet releases are not available. You will need to build from source code and install.
CRNet has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed CRNet and discovered the below as its top functions. This is intended to give you an instant insight into CRNet implemented functionality, and help decide if they suit your requirements.
- Run CRNet ECCV
- Train CRNet model
- Create a directory if it does not exist
- Prepare data for training
- Performs deep transformation of image
- Simulate CRNet
- Runs the BICNN
- Runs bicnn eccv
- Run CRUT - FIT - FPT
- Compute the accuracy of the jaffe - learn function
Get all kandi verified functions for this library.
CRNet Key Features
No Key Features are available at this moment for CRNet.
CRNet Examples and Code Snippets
No Code Snippets are available at this moment for CRNet.
Community Discussions
Trending Discussions on CRNet
QUESTION
C# - IoC - Autofac Dependency Injection on WebAPI 2
Asked 2018-Sep-20 at 19:51
I am having some trouble configuring Autofac with my application. I would appreciate all of your help. Below is the code with the exception. Should you need more details please don't hesitate to comment. Thanks!
Api Config
...
ANSWER
Answered 2018-Sep-20 at 19:51Cannot resolve parameter 'CRNET.DAL.Models.CRNetContext context'...
You never register the type CRNetContext
with Autofac. To fix it add:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install CRNet
You can download it from GitHub.
You can use CRNet 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 CRNet 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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