kandi X-RAY | Pytorch_Yolov1 Summary
kandi X-RAY | Pytorch_Yolov1 Summary
Pytorch_Yolov1 is a Python library. Pytorch_Yolov1 has no bugs, it has no vulnerabilities and it has low support. However Pytorch_Yolov1 build file is not available. You can download it from GitHub.
Pytorch_Yolov1
Pytorch_Yolov1
Support
Quality
Security
License
Reuse
Support
Pytorch_Yolov1 has a low active ecosystem.
It has 4 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Pytorch_Yolov1 has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Pytorch_Yolov1 is current.
Quality
Pytorch_Yolov1 has no bugs reported.
Security
Pytorch_Yolov1 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Pytorch_Yolov1 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
Pytorch_Yolov1 releases are not available. You will need to build from source code and install.
Pytorch_Yolov1 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 Pytorch_Yolov1 and discovered the below as its top functions. This is intended to give you an instant insight into Pytorch_Yolov1 implemented functionality, and help decide if they suit your requirements.
- Construct a VGG model
- Makes a list of layers
- Loads the configuration file
- Creates the encoder for the given boxes
- Convert xml file to txt
- Build a VGG19 model
Get all kandi verified functions for this library.
Pytorch_Yolov1 Key Features
No Key Features are available at this moment for Pytorch_Yolov1.
Pytorch_Yolov1 Examples and Code Snippets
No Code Snippets are available at this moment for Pytorch_Yolov1.
Community Discussions
No Community Discussions are available at this moment for Pytorch_Yolov1.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Pytorch_Yolov1
You can download it from GitHub.
You can use Pytorch_Yolov1 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 Pytorch_Yolov1 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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
