LCFCN | ECCV 2018 - Where are the Blobs : Counting by Localization

by ServiceNow Python Version: Current License: Apache-2.0

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

kandi X-RAY | LCFCN Summary

LCFCN is a Python library. LCFCN has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

ECCV 2018 - Where are the Blobs: Counting by Localization with Point Supervision. This is a ServiceNow Research project that was started at Element AI.

Support

Quality

Security

License

Reuse

Support

LCFCN has a low active ecosystem.

It has 165 star(s) with 46 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 17 open issues and 25 have been closed. On average issues are closed in 65 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of LCFCN is current.

Quality

LCFCN has no bugs reported.

Security

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

License

LCFCN is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

LCFCN 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.

Installation instructions, examples and code snippets are available.

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LCFCN Key Features

No Key Features are available at this moment for LCFCN.

LCFCN Examples and Code Snippets

No Code Snippets are available at this moment for LCFCN.

Community Discussions

No Community Discussions are available at this moment for LCFCN.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install LCFCN

This command installs pydicom and the Haven library which helps in managing the experiments.

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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