Tegu | A Machine Learning Toolbox | Computer Vision library

 by   generalized-intelligence Python Version: Current License: BSD-3-Clause

kandi X-RAY | Tegu Summary

kandi X-RAY | Tegu Summary

Tegu is a Python library typically used in Artificial Intelligence, Computer Vision applications. Tegu 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.

Tegu Core. A Machine Learning Toolbox for Programmer who wants to make everything easier:)
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              Tegu has a low active ecosystem.
              It has 9 star(s) with 3 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 8 open issues and 9 have been closed. On average issues are closed in 21 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Tegu is current.

            kandi-Quality Quality

              Tegu has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              Tegu is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Tegu 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, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Tegu and discovered the below as its top functions. This is intended to give you an instant insight into Tegu implemented functionality, and help decide if they suit your requirements.
            • Constructs an SSD 300 layer .
            • Detect the face of the given image .
            • Load weights and weights .
            • Inception resnet v2d .
            • A 3D convolutional model .
            • process videos in a directory
            • Predict the model .
            • Inception resnet v1d .
            • Generate random image data .
            • detect a single image
            Get all kandi verified functions for this library.

            Tegu Key Features

            No Key Features are available at this moment for Tegu.

            Tegu Examples and Code Snippets

            No Code Snippets are available at this moment for Tegu.

            Community Discussions

            QUESTION

            how to rbind a list of file base on a file list
            Asked 2020-Nov-29 at 19:37

            I have a list of file name and I want to do append on each list. How should I do that?

            my sample list can be build using codes:

            ...

            ANSWER

            Answered 2020-Nov-29 at 19:37

            If we already have objects in the global environment

            Source https://stackoverflow.com/questions/65063908

            QUESTION

            how to sort each object in a list that contain the variable list from multiple data
            Asked 2020-Nov-24 at 21:53

            I have a list

            ...

            ANSWER

            Answered 2020-Nov-24 at 21:53

            We loop over the list, sort the elements first, then assign the length to that of 'mx', and return the sorted NA appended 'x1'

            Source https://stackoverflow.com/questions/64994458

            QUESTION

            how to identify the columns that are same but in different order or one within another one?
            Asked 2020-Nov-24 at 20:52

            I have a dataset that capture a list of data's variables. It looks like this:

            It can be build using codes:

            ...

            ANSWER

            Answered 2020-Nov-23 at 13:50

            Here is one solution, although not nice it might help you:

            Source https://stackoverflow.com/questions/64968811

            QUESTION

            Azure Mobile Backend first query fails
            Asked 2017-Nov-29 at 11:18

            I have a strange problem with the Microsoft Azure Mobile Backend for a while. Usually the first query (an automatic user check) fails at first run, after 30-60 sec of waiting it returns an error. After this error it works perfectly. I experienced this issue approximately once in a 24 hours time period.

            The code is:

            Step1: Initializing the backend (and after the related tables with this backend)

            Backend.Primary = new Backend("https://....azurewebsites.net");

            Step2: The failed query is

            ...

            ANSWER

            Answered 2017-Nov-29 at 09:58

            Microsoft Azure Mobile Backend used Windows hosting and IIS with all it is features - one of them is IIS application pool recycling - by default if Application Pool dosen`t receive an request - it unloads all resources it handle and in order to restore functionality it need abut a minute to start. In order to avoid such problem you should be able to control hosting server IIS or at least be able to run a script on it.

            You need to run a script on your Web App Instance when it creates:

            The default value for idle time-out is 20 minutes - this script disable sleep mode on app pool:

            Source https://stackoverflow.com/questions/47549458

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

            Vulnerabilities

            No vulnerabilities reported

            Install Tegu

            For Image Recognition and Video Classification, we have developed a set of tools to process and clean up the datasets. You may use Tegu Image Annotation and Tegu Video Annotation to process your dataset.
            Install Python3 and pip3
            Install CUDA and cuDNN
            If you would like to use the Facial Recognition feature, please compile and install OpenCV. Please make sure the DNN module is installed.
            Use the following command to install requirements:
            For the usage of Tegu-core API, see Example Folder.

            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:

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          • HTTPS

            https://github.com/generalized-intelligence/Tegu.git

          • CLI

            gh repo clone generalized-intelligence/Tegu

          • sshUrl

            git@github.com:generalized-intelligence/Tegu.git

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