Giter Site home page Giter Site logo

mk-gurucharan / face-mask-detection Goto Github PK

View Code? Open in Web Editor NEW
97.0 97.0 93.0 7.08 MB

In this, I am attaching my code for building a CNN model to detect if a person is wearing face mask or not using the webcam of their PC.

Jupyter Notebook 100.00%

face-mask-detection's Introduction

Hi there πŸ‘‹

I am Gurucharan Marthi

Interested in AI and its applications in the field of Neuroscience

  • πŸ’¬ Ask me about anything! πŸ€—
  • πŸ“« How to reach me: Send me an Email!!
  • πŸ˜„ Pronouns: He/ Him
  • ⚑ Fun fact: πŸ“² Text me if you wanna know!

Connect with me



Things I Love πŸ’»

  • Neuroscience 🧠
  • Deep Learning and Machine Learning 🧐
  • Data Science πŸš€
  • Python / MATLAB
  • Image Processing 😬

Languages and Libraries

Python

C

C

C

C

HTML5

CSS3




Tools and other stuff

git

git

git

git

git

git

git




Stats

face-mask-detection's People

Contributors

mk-gurucharan avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar

face-mask-detection's Issues

face mask detection perameter

what would be the perameter of this fun
def split_data(SOURCE, TRAINING, TESTING, SPLIT_SIZE):
dataset = []

for unitData in os.listdir(SOURCE):
    data = SOURCE + unitData
    if(os.path.getsize(data) > 0):
        dataset.append(unitData)
    else:
        print('Skipped ' + unitData)
        print('Invalid file i.e zero size')

train_set_length = int(len(dataset) * SPLIT_SIZE)
test_set_length = int(len(dataset) - train_set_length)
shuffled_set = random.sample(dataset, len(dataset))
train_set = dataset[0:train_set_length]
test_set = dataset[-test_set_length:]
   
for unitData in train_set:
    temp_train_set = SOURCE + unitData
    final_train_set = TRAINING + unitData
    copyfile(temp_train_set, final_train_set)

for unitData in test_set:
    temp_test_set = SOURCE + unitData
    final_test_set = TESTING + unitData
    copyfile(temp_test_set, final_test_set)

YES_SOURCE_DIR = "dest_folder/val/yes/"
TRAINING_YES_DIR = "dest_folder/train/yes/"
TESTING_YES_DIR = "dest_folder/test/yes/"
NO_SOURCE_DIR = "dest_folder/val/no/"
TRAINING_NO_DIR = "dest_folder/val/no/"
TESTING_NO_DIR = "dest_folder/test/no/"
split_size = .8
split_data(YES_SOURCE_DIR, TRAINING_YES_DIR, TESTING_YES_DIR, split_size)
split_data(NO_SOURCE_DIR, TRAINING_NO_DIR, TESTING_NO_DIR, split_size)
location of dataset

It cann't identify when I already wear a mask.

Hi Gurucharan
I have a question when I detect facemask.
It only show red rectangle β€œwithout_mask” when i don't wear a mask.
It cann't identify when I already wear a mask.
I hope you can give me assistance.
Thank you.

Uploading Dataset

How you had uploaded dataset? Or how can I upload dataset on google colab?

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    πŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. πŸ“ŠπŸ“ˆπŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❀️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.