wildCount | Automated counting of animals using rotation invariant | Machine Learning library

 by   ctorney Python Version: Current License: No License

kandi X-RAY | wildCount Summary

kandi X-RAY | wildCount Summary

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

Automated counting of animals using rotation invariant features and machine learning classifier. Project is structured as follows.
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            kandi-support Support

              wildCount has a low active ecosystem.
              It has 4 star(s) with 7 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of wildCount is current.

            kandi-Quality Quality

              wildCount has no bugs reported.

            kandi-Security Security

              wildCount has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              wildCount does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              wildCount releases are not available. You will need to build from source code and install.
              wildCount has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed wildCount and discovered the below as its top functions. This is intended to give you an instant insight into wildCount implemented functionality, and help decide if they suit your requirements.
            • Extract features from an image
            • Extract histogram from an image
            • Initialize the core functions .
            • Scans the given image .
            • Prepare image for extraction .
            • wildebeest click
            • check if the given event is wildebeest
            • handle click boxes
            Get all kandi verified functions for this library.

            wildCount Key Features

            No Key Features are available at this moment for wildCount.

            wildCount Examples and Code Snippets

            No Code Snippets are available at this moment for wildCount.

            Community Discussions

            Trending Discussions on wildCount

            QUESTION

            How to loop around and build an IP Address
            Asked 2019-Mar-20 at 15:12

            Given 1.1.%.%, where % is a wildcard, I want to loop through all possible IP addresses.

            So far I have been able to replace one % successfully with a loop, but when I attempt to try to replace 2, it simply replaces it with the same number. The following is the code I have at the moment, any help on how to put in this second loop to get the second % would be appreciated.

            Code:

            ...

            ANSWER

            Answered 2019-Mar-20 at 15:08

            So, you don't want to increment by splitting on the '%' character. It'd be better to split by octet:

            Source https://stackoverflow.com/questions/55263320

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

            Vulnerabilities

            No vulnerabilities reported

            Install wildCount

            You can download it from GitHub.
            You can use wildCount 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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            CLONE
          • HTTPS

            https://github.com/ctorney/wildCount.git

          • CLI

            gh repo clone ctorney/wildCount

          • sshUrl

            git@github.com:ctorney/wildCount.git

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