pytorchv3 | repo serves as a driver code

by ayushishakya Python Version: Current License: No License

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kandi X-RAY | pytorchv3 Summary

pytorchv3 is a Python library. pytorchv3 has no bugs, it has no vulnerabilities and it has low support. However pytorchv3 build file is not available. You can download it from GitHub.

[UPDATE] : This repo serves as a driver code for my research. I just graduated college, and am very busy looking for research internship / fellowship roles before eventually applying for a masters. I won't have the time to look into issues for the time being. Thank you. This repository contains code for a object detector based on YOLOv3: An Incremental Improvement, implementedin PyTorch. The code is based on the official code of YOLO v3, as well as a PyTorch port of the original code, by marvis. One of the goals of this code is to improve upon the original port by removing redundant parts of the code (The official code is basically a fully blown deep learning library, and includes stuff like sequence models, which are not used in YOLO). I've also tried to keep the code minimal, and document it as well as I can.

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Support

pytorchv3 has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

pytorchv3 has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pytorchv3 is current.

Quality

pytorchv3 has no bugs reported.

Security

pytorchv3 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

pytorchv3 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.

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pytorchv3 releases are not available. You will need to build from source code and install.

pytorchv3 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.

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pytorchv3 Key Features

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pytorchv3 Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install pytorchv3

You can download it from GitHub.
You can use pytorchv3 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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