emotion_recognition | Face detection plus expression recognition

by taoyafan Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | emotion_recognition Summary

emotion_recognition is a Python library. emotion_recognition has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However emotion_recognition build file is not available. You can download it from GitHub.

Face detection plus expression recognition

Support

Quality

Security

License

Reuse

Support

emotion_recognition has a low active ecosystem.

It has 75 star(s) with 20 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. There are 2 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 is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

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.

emotion_recognition saves you 17864 person hours of effort in developing the same functionality from scratch.

It has 35385 lines of code, 92 functions and 23 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

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.

Bulk detect face detection
Computes the NMS of the given boxes
Generate a bounding box for a given image
Apply a bounding box to a bounding box
Detect the face of the image
Small version of miniXception
Loop through the training image
Performs random crop
Transform image
Preprocess input x
Simple CNN
Setup the network
Decorator to define a layer
Modify backprop
Create TMNet
Display an image
Setup module
Make a mosaic image
Compile the gradient of the given model
Calculate the gradient of a preprocessed image
Convert class to arg
Split data into training data
Get the labels for a given dataset
Splits the IMDB data
Return ground truth data
Convert the class to arg to arg
Registers a gradient transformation function
Preprocess input

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

How do I execute a Python script in Django using javascript

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

You can download it from GitHub.
You can use emotion_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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