basnet-http | HTTP service wrapper for BASNet : Boundary-Aware Salient

 by   cyrildiagne Python Version: Current License: MIT

kandi X-RAY | basnet-http Summary

kandi X-RAY | basnet-http Summary

basnet-http is a Python library. basnet-http 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.

This is an HTTP service wrapper for BASNet: Boundary-Aware Salient Object Detection code. The deploy folder contains configuration files for deployment as serverless container with Knative. It's highly recommended to run this image on a machine with a CUDA compatible Nvidia Card and minimum 6Gb of RAM.

            kandi-support Support

              basnet-http has a low active ecosystem.
              It has 424 star(s) with 58 fork(s). There are 16 watchers for this library.
              It had no major release in the last 6 months.
              There are 0 open issues and 13 have been closed. On average issues are closed in 2 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of basnet-http is current.

            kandi-Quality Quality

              basnet-http has 0 bugs and 0 code smells.

            kandi-Security Security

              basnet-http has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              basnet-http code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              basnet-http is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              basnet-http 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 are not available. Examples and code snippets are available.
              basnet-http saves you 36 person hours of effort in developing the same functionality from scratch.
              It has 97 lines of code, 5 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed basnet-http and discovered the below as its top functions. This is intended to give you an instant insight into basnet-http implemented functionality, and help decide if they suit your requirements.
            • Process image data
            • Preprocess image data
            • Normalized norm
            Get all kandi verified functions for this library.

            basnet-http Key Features

            No Key Features are available at this moment for basnet-http.

            basnet-http Examples and Code Snippets

            No Code Snippets are available at this moment for basnet-http.

            Community Discussions

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

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


            No vulnerabilities reported

            Install basnet-http

            You can download it from GitHub.
            You can use basnet-http 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.


            Q: I get an empty response, or "out of memory". A: Increase your Docker RAM limit to at least 6GB: Q: I get a file that is 256x256 instead of my input image's size. A: That's the right output. You need to resize it to your input image's width and height. See:
            Find more information at:

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          • HTTPS


          • CLI

            gh repo clone cyrildiagne/basnet-http

          • sshUrl


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