icevision-streamlit

by airctic Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | icevision-streamlit Summary

icevision-streamlit is a Python library. icevision-streamlit 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.

icevision-streamlit

Support

Quality

Security

License

Reuse

Support

icevision-streamlit has a low active ecosystem.

It has 1 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

icevision-streamlit has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of icevision-streamlit is current.

Quality

icevision-streamlit has no bugs reported.

Security

icevision-streamlit has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

icevision-streamlit is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

icevision-streamlit 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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icevision-streamlit Key Features

No Key Features are available at this moment for icevision-streamlit.

icevision-streamlit Examples and Code Snippets

No Code Snippets are available at this moment for icevision-streamlit.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install icevision-streamlit

From your the project root directory , run the following command:. In your termilal, press Ctrl+Click on the URL to open the app in your browser, or open the following URL in your browser: http://localhost:8501/. Drag & Drop an image in the grey zone. The predicted image will appear after a few seconds. Use the controls on the left to adjust the thresholds as well the masks attributes (label, bounding boxes, masks).

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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