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A machine learning model to identify if a person is wearing a face mask or not and if the face mask is worn properly.

License: Apache License 2.0

Python 50.27% TeX 49.73%

face-mask machine-learning computer-vision cs229

face-mask-detection's Introduction

Hi there, I'm Dean 👋

I'm a Software Engineer, Student, and Tennis Player!

🌱 I’m working towards both a Master's and Bachelor's degree in Computer Science (Artificial Intelligence and Computer Systems tracks, respectively) at Stanford.
📫 How to reach me: [email protected].
⚡ Fun fact: I learned to use the abacus for ten years and can multiply 3 digit numbers together in my head.

Connect with me:

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face-mask-detection's Issues

Logistic regression

Implement vanilla logistic regression.
Input is a single vector of length (height * width) of the input image.
Output is a binary classification: mask or no mask.

Command Line Arguments

Add support for various command line arguments, and update config.py or some other file accordingly.

Support Vector Machine

Implement vanilla SVM.

Data preprocessing and cleaning

Extract annotation information from XML files.
Transform PNG images into PyTorch inputs.

Update run_pipeline.py so that models can be run through that script.

Data augmentation

Increase the size of the input dataset using the following operations:

horizontal flip
vertical flip
rotation
color grading
cropping individuals

Analyze different evaluation metrics

precision
recall
F1-score
make a confusion matrix

Add a clean up module to rename 'maksssksksss' and reduce XML files

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