dupre | Streamlit UI to remove duplicate or near duplicate images | Machine Learning library

 by   amolnaik Jupyter Notebook Version: Current License: Apache-2.0

kandi X-RAY | dupre Summary

kandi X-RAY | dupre Summary

dupre is a Jupyter Notebook library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. dupre has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Dupre provides an easy-to-use streamlit UI for imagededup package that simplifies the task of finding exact and near duplicates in an image collection. Imagededup package provides a bunch of hashing algorithms that are particularly good at finding exact duplicates. It also provides a convolutional neural networks which are adept at finding near duplicates. An evaluation framework is also provided to judge the quality of deduplication for a given dataset. Detailed documentation of the package can be found at: Dupre is compatible with Python 3.6+ and runs on Linux, MacOS X and Windows. It is distributed under the Apache 2.0 license.
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              dupre has a low active ecosystem.
              It has 8 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              dupre has no issues reported. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of dupre is current.

            kandi-Quality Quality

              dupre has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              dupre 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

              dupre releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

            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 dupre
            Get all kandi verified functions for this library.

            dupre Key Features

            No Key Features are available at this moment for dupre.

            dupre Examples and Code Snippets

            No Code Snippets are available at this moment for dupre.

            Community Discussions

            QUESTION

            System.Threading.Timer async - Merge updates on Timer Thread back to Master Thread
            Asked 2020-Sep-11 at 23:07

            I am quite new to threading so I do apologise if this makes not much sense or I am missing something obvious. Basically I have a list of items List in memory containing 4 entries.

            ...

            ANSWER

            Answered 2020-Sep-11 at 23:07

            So your main issue is that ASP.NET controllers are transient... meaning they are created new for each request directed at said controller.

            A quick fix for your issue is to do this:

            Source https://stackoverflow.com/questions/63854547

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

            Vulnerabilities

            No vulnerabilities reported

            Install dupre

            Note: imagededup comes with TensorFlow CPU-only support by default. If you have GPUs, you should rather install the TensorFlow version with GPU support especially when you use CNN to find duplicates. It's way faster. See the TensorFlow guide for more details on how to install it.
            Install streamlit from PyPI (recommended):
            Install imagededup from the GitHub source:
            In order to find duplicates in an image directory start by:.

            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 .
            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/amolnaik/dupre.git

          • CLI

            gh repo clone amolnaik/dupre

          • sshUrl

            git@github.com:amolnaik/dupre.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