Vehicle_Tracking | OpenCV 3 & Keras implementation | Machine Learning library

 by   xiaochus Python Version: Current License: MIT

kandi X-RAY | Vehicle_Tracking Summary

kandi X-RAY | Vehicle_Tracking Summary

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

OpenCV 3 & Keras implementation of vehicles tracking with video data.
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            kandi-support Support

              Vehicle_Tracking has a low active ecosystem.
              It has 101 star(s) with 37 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 5 open issues and 2 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Vehicle_Tracking is current.

            kandi-Quality Quality

              Vehicle_Tracking has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              Vehicle_Tracking 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

              Vehicle_Tracking releases are not available. You will need to build from source code and install.
              Vehicle_Tracking 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 Vehicle_Tracking and discovered the below as its top functions. This is intended to give you an instant insight into Vehicle_Tracking implemented functionality, and help decide if they suit your requirements.
            • Create a track of the detection of a video
            • Computes the overlap between two boxes
            • Update the track
            • Calculate the center of a list of windows
            • Train the model
            • Main function of the data processor
            • Convolutional CNN
            Get all kandi verified functions for this library.

            Vehicle_Tracking Key Features

            No Key Features are available at this moment for Vehicle_Tracking.

            Vehicle_Tracking Examples and Code Snippets

            No Code Snippets are available at this moment for Vehicle_Tracking.

            Community Discussions

            QUESTION

            Attempted to load class from namespace. Did you forget a "use" statement for another namespace? with vendor php namespace
            Asked 2017-Feb-21 at 09:27

            I am trying to load a php namespace into my symfony project but keep getting the following error at runtime.

            ...

            ANSWER

            Answered 2017-Jan-26 at 13:27

            As a rule you should avoid editing anything under vendor. Your changes will be lost. In this case you can edit your projects composer.json file

            Source https://stackoverflow.com/questions/41854506

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

            Vulnerabilities

            No vulnerabilities reported

            Install Vehicle_Tracking

            You can download it from GitHub.
            You can use Vehicle_Tracking 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/xiaochus/Vehicle_Tracking.git

          • CLI

            gh repo clone xiaochus/Vehicle_Tracking

          • sshUrl

            git@github.com:xiaochus/Vehicle_Tracking.git

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