raspicam_vision_lite | Image Classification on Raspberry Pi

 by   jingw222 Python Version: Current License: MIT

kandi X-RAY | raspicam_vision_lite Summary

kandi X-RAY | raspicam_vision_lite Summary

raspicam_vision_lite is a Python library typically used in Telecommunications, Media, Media, Entertainment, Internet of Things (IoT), Tensorflow, Raspberry Pi applications. raspicam_vision_lite has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Image Classification on Raspberry Pi with TensorFlow Lite and Flask
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            kandi-support Support

              raspicam_vision_lite has a low active ecosystem.
              It has 11 star(s) with 5 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 2 have been closed. On average issues are closed in 215 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of raspicam_vision_lite is current.

            kandi-Quality Quality

              raspicam_vision_lite has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              raspicam_vision_lite 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

              raspicam_vision_lite releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed raspicam_vision_lite and discovered the below as its top functions. This is intended to give you an instant insight into raspicam_vision_lite implemented functionality, and help decide if they suit your requirements.
            • Create a Flask application
            • Generate inference process
            • Performs inference on input queue
            • Performs inference
            • Crop the input array
            • Resize the input area
            Get all kandi verified functions for this library.

            raspicam_vision_lite Key Features

            No Key Features are available at this moment for raspicam_vision_lite.

            raspicam_vision_lite Examples and Code Snippets

            No Code Snippets are available at this moment for raspicam_vision_lite.

            Community Discussions

            Trending Discussions on Internet of Things (IoT)

            QUESTION

            Display data from two json files in react native
            Asked 2020-May-17 at 23:55

            I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

            ...

            ANSWER

            Answered 2020-May-17 at 23:55

            The new object to get params in React Navigation 5 is:

            Source https://stackoverflow.com/questions/61859411

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

            Vulnerabilities

            No vulnerabilities reported

            Install raspicam_vision_lite

            You can download it from GitHub.
            You can use raspicam_vision_lite 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

            https://github.com/jingw222/raspicam_vision_lite.git

          • CLI

            gh repo clone jingw222/raspicam_vision_lite

          • sshUrl

            git@github.com:jingw222/raspicam_vision_lite.git

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