ImageCluster | ImageCluster project is aimed to cluster unlabeled images | Machine Learning library

 by   HandsomeBrotherShuaiLi Python Version: Current License: Apache-2.0

kandi X-RAY | ImageCluster Summary

kandi X-RAY | ImageCluster Summary

ImageCluster is a Python library typically used in Artificial Intelligence, Machine Learning, Pytorch applications. ImageCluster has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However ImageCluster build file is not available. You can download it from GitHub.

The ImageCluster project is aimed to cluster unlabeled images based on the SOTA models. It designed for engineers and students to fast feature maps and cluster the image according to your cluster-algo hyperparameter. This flow contains two main steps:.
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            kandi-support Support

              ImageCluster has a low active ecosystem.
              It has 14 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 4 open issues and 0 have been closed. On average issues are closed in 326 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of ImageCluster is current.

            kandi-Quality Quality

              ImageCluster has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              ImageCluster 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

              ImageCluster releases are not available. You will need to build from source code and install.
              ImageCluster has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 321 lines of code, 13 functions and 4 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ImageCluster and discovered the below as its top functions. This is intended to give you an instant insight into ImageCluster implemented functionality, and help decide if they suit your requirements.
            • Train the model
            • Runs the model
            • Cluster images
            • Calculate k - means clustering
            • Merge all training images
            • Copies chosen_kmeans_k_num_kmeans
            Get all kandi verified functions for this library.

            ImageCluster Key Features

            No Key Features are available at this moment for ImageCluster.

            ImageCluster Examples and Code Snippets

            No Code Snippets are available at this moment for ImageCluster.

            Community Discussions

            QUESTION

            Kubernetes how to correctly mount windows path in wsl2 backed environment
            Asked 2021-Apr-12 at 05:58

            I have a local image that runs fine this way: docker run -p 8080:8080 -v C:\Users\moritz\Downloads\1\imageService\examples1:/images -v C:\Users\moritz\entwicklung\projekte\imageCluster\logs:/logs imageservice

            Now i want this to run as Kubernetes (using built in from Docker-for-Windows v1.19.7) deployment:

            ...

            ANSWER

            Answered 2021-Apr-12 at 05:58

            As mentioned here, you can use below hostPath to make it work on wsl2.

            Source https://stackoverflow.com/questions/66985465

            QUESTION

            Pytorch, Pre-trained model: How to use feature and classifier at the same time
            Asked 2020-Oct-24 at 01:16

            I'm using vgg16 extracting image feature vector. I want to get 114096 vector from the 2nd-to-last layer.

            My code:

            ...

            ANSWER

            Answered 2020-Oct-24 at 01:16

            I've find the solution myself.

            Sorry for bothering to Stack overflow.

            here is the code:

            Source https://stackoverflow.com/questions/64509012

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

            Vulnerabilities

            No vulnerabilities reported

            Install ImageCluster

            You can download it from GitHub.
            You can use ImageCluster 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.

            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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            https://github.com/HandsomeBrotherShuaiLi/ImageCluster.git

          • CLI

            gh repo clone HandsomeBrotherShuaiLi/ImageCluster

          • sshUrl

            git@github.com:HandsomeBrotherShuaiLi/ImageCluster.git

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