facial-expression-recognition | Predicting facial expressions with machine learning | Machine Learning library

 by   utkuozbulak Python Version: Current License: No License

kandi X-RAY | facial-expression-recognition Summary

kandi X-RAY | facial-expression-recognition Summary

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

Note: This is a messy repository, you should find your way through what is present here (unfortunately).
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            kandi-support Support

              facial-expression-recognition has a low active ecosystem.
              It has 48 star(s) with 21 fork(s). There are 10 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 7 open issues and 11 have been closed. On average issues are closed in 19 days. There are 4 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of facial-expression-recognition is current.

            kandi-Quality Quality

              facial-expression-recognition has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              facial-expression-recognition 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

              facial-expression-recognition releases are not available. You will need to build from source code and install.
              facial-expression-recognition has no build file. You will be need to create the build yourself to build the component from source.
              facial-expression-recognition saves you 421 person hours of effort in developing the same functionality from scratch.
              It has 998 lines of code, 45 functions and 18 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed facial-expression-recognition and discovered the below as its top functions. This is intended to give you an instant insight into facial-expression-recognition implemented functionality, and help decide if they suit your requirements.
            • Wrapper for inception features
            • Get data in matrix format
            • Convert csv to array
            • Gets the features for a trained model
            • Gets features for training
            • Run merge model
            • Wrapper for inception
            • Gets the feature tensorflow features
            • Get the data in a vectoral format
            • Reads data from csv file
            • Show the example
            • Get test data
            • Read the first record from the csv file
            • Extracts images from a csv file
            • Generates decomposed matrix from an image list
            • Reshape a matrix
            • Generate a list of decomposed matrices
            • R decompose a matrix
            • Save image decomposition
            • Resize image to image
            • Saves a single image
            • Generates a list of decomposed matrices
            • decompose a matrix
            • Export image data
            • Save image data to image
            Get all kandi verified functions for this library.

            facial-expression-recognition Key Features

            No Key Features are available at this moment for facial-expression-recognition.

            facial-expression-recognition Examples and Code Snippets

            No Code Snippets are available at this moment for facial-expression-recognition.

            Community Discussions

            Trending Discussions on facial-expression-recognition

            QUESTION

            X.shape[1] size doesn't fit the expected value
            Asked 2020-Apr-06 at 22:04

            I'm currently working on my final degree project in robotics, and I decided to create an open-source robot capable of replicating human emotions. The robot is all set up and ready to receive orders, but I'm still busy coding it. I'm currently basing my code off this method. The idea is to extract 68 facial landmarks from a low FPS video feed (using RPi Camera V2), feed those landmarks to a trained SVM classifier and have it return a numeral from 0-6 depending on the expression it detected (Angry, Disgust, Fear, Happy, Sad, Surprise and Neutral). I'm testing out the capabilities of my model with some pictures I took using the RPi Camera, and this is what I've managed to put together so far in terms of code:

            ...

            ANSWER

            Answered 2020-Apr-06 at 22:04

            Solved it! Turns out my model was trained using a combination of HOG features and Dlib landmarks, however I was only feeding the landmarks to the predictor, which resulted in the size discrepancy.

            Source https://stackoverflow.com/questions/61015323

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

            Vulnerabilities

            No vulnerabilities reported

            Install facial-expression-recognition

            You can download it from GitHub.
            You can use facial-expression-recognition 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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            git@github.com:utkuozbulak/facial-expression-recognition.git

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