image_space | Interactive Image similarity and Visual Search | Computer Vision library

 by   nasa-jpl-memex JavaScript Version: 1.0.0 License: Apache-2.0

kandi X-RAY | image_space Summary

kandi X-RAY | image_space Summary

image_space is a JavaScript library typically used in Artificial Intelligence, Computer Vision, Deep Learning applications. image_space has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Interactive Image similarity and Visual Search and Retrieval application
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              image_space has a low active ecosystem.
              It has 88 star(s) with 47 fork(s). There are 17 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 97 have been closed. On average issues are closed in 603 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of image_space is 1.0.0

            kandi-Quality Quality

              image_space has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              image_space 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.

            kandi-Reuse Reuse

              image_space releases are available to install and integrate.
              Installation instructions are available. Examples and code snippets are not available.
              image_space saves you 744 person hours of effort in developing the same functionality from scratch.
              It has 1716 lines of code, 102 functions and 102 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of image_space
            Get all kandi verified functions for this library.

            image_space Key Features

            No Key Features are available at this moment for image_space.

            image_space Examples and Code Snippets

            No Code Snippets are available at this moment for image_space.

            Community Discussions

            Trending Discussions on image_space

            QUESTION

            Not properly render image from Django model
            Asked 2017-Sep-29 at 22:37

            I am making a simple app(Django version 1.11+python3.5+). I want to show images on my homepage(web app) from Django models. I can upload successfully from Django admin panel. But image cant renders properly. The image does not show in the homepage. This is my HTML file.

            ...

            ANSWER

            Answered 2017-Sep-29 at 21:27

            The issue is that the your MEDIA_ROOT is not being served and Django cannot append the correct url. In your project urls.py add the following at the end:

            Source https://stackoverflow.com/questions/46496992

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

            Vulnerabilities

            No vulnerabilities reported

            Install image_space

            ImageSpace can be spun up quickly by means of Docker containers, see the [ImageSpace Quickstart](https://github.com/nasa-jpl-memex/image_space/wiki/Quick-Start-Guide-with-ImageCat). Image Similarity through [SMQTK](https://github.com/nasa-jpl-memex/SMQTK) can be made available by following the [ImageSpace SMQTK Quickstart](https://github.com/nasa-jpl-memex/image_space/blob/master/imagespace_smqtk/Docker.md).
            See the [installation README](https://github.com/nasa-jpl-memex/image_space/tree/master/imagespace) for instructions.

            Support

            Send them to [Chris A. Mattmann](mailto:chris.a.mattmann@jpl.nasa.gov).
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/nasa-jpl-memex/image_space.git

          • CLI

            gh repo clone nasa-jpl-memex/image_space

          • sshUrl

            git@github.com:nasa-jpl-memex/image_space.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link

            Consider Popular Computer Vision Libraries

            opencv

            by opencv

            tesseract

            by tesseract-ocr

            face_recognition

            by ageitgey

            tesseract.js

            by naptha

            Detectron

            by facebookresearch

            Try Top Libraries by nasa-jpl-memex

            memex-explorer

            by nasa-jpl-memexPython

            memex-gate

            by nasa-jpl-memexPython

            GeoParser

            by nasa-jpl-memexJavaScript

            topic_space

            by nasa-jpl-memexJavaScript

            elwha

            by nasa-jpl-memexJava