facial-expression-recognition | Predicting facial expressions with machine learning | Machine Learning library
kandi X-RAY | facial-expression-recognition Summary
kandi X-RAY | facial-expression-recognition Summary
Note: This is a messy repository, you should find your way through what is present here (unfortunately).
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Top functions reviewed by kandi - BETA
- 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
facial-expression-recognition Key Features
facial-expression-recognition Examples and Code Snippets
Community Discussions
Trending Discussions on facial-expression-recognition
QUESTION
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 22:04Solved 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.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install facial-expression-recognition
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.
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