Emotion-Recognition | classification model in Machine Learning | Machine Learning library

by jahin07 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | Emotion-Recognition Summary

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

A classification model in Machine Learning capable of recognizing human facial emotions

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Quality

Security

License

Reuse

Support

Emotion-Recognition has a low active ecosystem.

It has 20 star(s) with 10 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 3 open issues and 0 have been closed. On average issues are closed in 761 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Emotion-Recognition is current.

Quality

Emotion-Recognition has 0 bugs and 0 code smells.

Security

Emotion-Recognition has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Emotion-Recognition code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Emotion-Recognition does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Emotion-Recognition releases are not available. You will need to build from source code and install.

Emotion-Recognition has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed Emotion-Recognition and discovered the below as its top functions. This is intended to give you an instant insight into Emotion-Recognition implemented functionality, and help decide if they suit your requirements.

Detects the faces of an emotion image
Creates training sets
Train a Fisher face classifier .
Get training and prediction training and prediction .

Get all kandi verified functions for this library.

Emotion-Recognition Key Features

No Key Features are available at this moment for Emotion-Recognition.

Emotion-Recognition Examples and Code Snippets

No Code Snippets are available at this moment for Emotion-Recognition.

Community Discussions

Trending Discussions on Emotion-Recognition

Incompatibility between input and final Dense Layer (Value Error)

One hot encoded output to categorical value from a ML model

Python beginner ML project issues

Download a file from github in a local directory using PowerShell

no module named pkg_resources.py2_warn pyinstaller

How to update Kivy interface continuously with API response?

How do I execute a Python script in Django using javascript

QUESTION

Incompatibility between input and final Dense Layer (Value Error)

Asked 2022-Jan-21 at 15:48

I'm following this tutorial from Nabeel Ahmed to create your own emotion detector using Keras (I'm a noob) and I've found a strange behaviour that I'd like to understand. The input data is a bunch of 48x48 images, each one with an integer value between 0 and 6 (each number stands for an emotion label), which represents the emotion present in the image.

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ANSWER

Answered 2022-Jan-20 at 07:04

You seem to be working with sparse integer labels, where each sample belongs to one of seven classes {0, 1, 2, 3, 4, 5, 6}, so I would recommend using SparseCategoricalCrossentropy instead of CategoricalCrossentropy as your loss function. Just change this parameter and your model should work fine. If you want to use CategoricalCrossentropy, you will have to one-hot encode your labels, for example with:

Source https://stackoverflow.com/questions/70776552

QUESTION

One hot encoded output to categorical value from a ML model

Asked 2021-Jul-19 at 13:51

In my one .py file I created a model and saved the .pkl file of it to use afterward for analysis. The model is formed using the code from this kaggle emotional data set https://www.kaggle.com/shivamburnwal/speech-emotion-recognition The issue is that when I am using this code's model to detect the emotion of new audio then the output is in one hot encoded format. Is there any way using which I can get the actual emotion('happy','fear' etc.) instead of 1's and 0's.

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ANSWER

Answered 2021-Jul-19 at 13:51

prediction output is a list like this:

Source https://stackoverflow.com/questions/68431274

QUESTION

Python beginner ML project issues

Asked 2020-Dec-18 at 19:42

So I copied some code to try and figure out machine learning in python(link = https://data-flair.training/blogs/python-mini-project-speech-emotion-recognition). Overall it worked out great but now I do not know how to use it (input a file of my own and analyze it).

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ANSWER

Answered 2020-Aug-18 at 18:39

Use model.predict() on your new audio file. That should return your desired output.

Source https://stackoverflow.com/questions/63474640

QUESTION

Download a file from github in a local directory using PowerShell

Asked 2020-Jun-04 at 14:06

I am looking for a way to download a specific file from github using a PowerShell commands.

The URL to the file that I try to download is the following: https://github.com/soulcurrymedia/twitter-emotion-recognition/blob/master/models/allowed-chars.pkl

I have tried the following but it has downloaded html script rather than the actual file

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ANSWER

Answered 2020-Jun-04 at 14:03

You need to use a direct-download link for it to work. In this case the link is:

Source https://stackoverflow.com/questions/62196346

QUESTION

no module named pkg_resources.py2_warn pyinstaller

Asked 2020-May-09 at 08:42

I'm trying to make an executable file (.exe file for windows) for the code here. The main file to run is src/GUI.py. I found that pyinstaller is a better option to create the exe file.

I tried both one folder and single executable file options. I tried creating the exe from root directory and as well as in src directory.

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ANSWER

Answered 2020-May-09 at 08:03

This is an issue with setuptools as explained in this github ticket. Consider downgrading your setuptools to 44.0 or below with the command

Source https://stackoverflow.com/questions/61574984

QUESTION

How to update Kivy interface continuously with API response?

Asked 2020-Apr-30 at 18:04

I am trying to do a basic system that can take the frame from webcam and send it to Azure Face API for emotion recognition and show the result on Kivy interface on my mac.

I have tried:

1 - write kivy classes mytest and MyApp inside while loop but the interface stuck due to the internal loop of kivy.

2- calling the result_print function inside the loop like this:

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ANSWER

Answered 2020-Apr-30 at 18:04

I think you should put the code that accesses the webcam in a separate thread, and then call Clock.schedule_once() to do the Kivy interface update. Something like this:

Source https://stackoverflow.com/questions/61527821

QUESTION

How do I execute a Python script in Django using javascript

Asked 2020-Feb-08 at 19:35

I have a python + electronJS + Djangao app. I am trying to launch a python script with a button click (from the HTML front end).

The app launches fine. But when I click the button to launch the python script from the HTML window, nothing happens (I get a blank HTML page).

Here is my java script file:

...

ANSWER

Answered 2020-Feb-08 at 19:35

First, you need to make sure the button sends a post request when clicked. For example, let's assume the button sends a post request to a url 'execute_script/'.

Then, urls.py should look like:

Source https://stackoverflow.com/questions/60130323

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

Vulnerabilities

No vulnerabilities reported

Install Emotion-Recognition

This project uses the CK+ dataset containing 8 classes of facial expressions encoded as {0=neutral, 1=anger, 2=contempt, 3=disgust, 4=fear, 5=happy, 6=sadness, 7=surprise}.

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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