pytorch-one-shot-detection-tt100k

by Yuol96 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | pytorch-one-shot-detection-tt100k Summary

pytorch-one-shot-detection-tt100k is a Python library. pytorch-one-shot-detection-tt100k has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

pytorch-one-shot-detection-tt100k

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Support

pytorch-one-shot-detection-tt100k has a low active ecosystem.

It has 2 star(s) with 3 fork(s). There are no watchers for this library.

It had no major release in the last 6 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 pytorch-one-shot-detection-tt100k is current.

Quality

pytorch-one-shot-detection-tt100k has 0 bugs and 0 code smells.

Security

pytorch-one-shot-detection-tt100k has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pytorch-one-shot-detection-tt100k code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pytorch-one-shot-detection-tt100k 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-one-shot-detection-tt100k releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

It has 5814 lines of code, 346 functions and 85 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pytorch-one-shot-detection-tt100k and discovered the below as its top functions. This is intended to give you an instant insight into pytorch-one-shot-detection-tt100k implemented functionality, and help decide if they suit your requirements.

Get an item from the group .
Compute the vocab for each image .
Evaluate the gt objects for a given class
Calculate evaluation results .
Sample the rois dataset .
Compute the bounding box overlaps between the given anchors .
Evaluate recall .
Load an annotation box .
Load image index .
Load COCO annotation .

Get all kandi verified functions for this library.

pytorch-one-shot-detection-tt100k Key Features

No Key Features are available at this moment for pytorch-one-shot-detection-tt100k.

pytorch-one-shot-detection-tt100k Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install pytorch-one-shot-detection-tt100k

You can download it from GitHub.
You can use pytorch-one-shot-detection-tt100k 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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