CRNet | Official PyTorch Implementation of Paper CRNet | Machine Learning library

 by   lucasxlu Python Version: Current License: MIT

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.
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            kandi-support Support

              CRNet has a low active ecosystem.
              It has 10 star(s) with 1 fork(s). There are 2 watchers for this library.
              OutlinedDot
              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.

            kandi-Quality Quality

              CRNet has no bugs reported.

            kandi-Security Security

              CRNet has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License 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.

            kandi-Reuse Reuse

              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

            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!

            1. Api Config

              ...

            ANSWER

            Answered 2018-Sep-20 at 19:51

            Cannot resolve parameter 'CRNET.DAL.Models.CRNetContext context'...

            You never register the type CRNetContext with Autofac. To fix it add:

            Source https://stackoverflow.com/questions/52432273

            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.

            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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            gh repo clone lucasxlu/CRNet

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            git@github.com:lucasxlu/CRNet.git

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