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Created the folder containing files for mask detection #941
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Added the dataset from kaggle, saved the model file as seperate, added readme file for installation and procedures to implement the project, added the python code for model training and model deployment.
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@Dharun235 does all |
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@UTSAVS26 some files will also work. Or otherwise, I can provide the kaggle dataset url in readme file mentioning the user to download the dataset from here. |
Provide the dataset link. |
I have updated and requesting to check for any other corrections |
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import tensorflow as tf |
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Hey @Dharun235,
Please make sure that you check the extensions of the files before commiting. This file I suppose should be .py .
Update this and I will approve the PR.
Thank you!
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Now I have done it.
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Added the dataset from kaggle, saved the model file as seperate, added readme file for installation and procedures to implement the project, added the python code for model training and model deployment.
Pull Request for PyVerse 💡
Requesting to submit a pull request to the PyVerse repository.
Issue Title
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Add a new project
Info about the Related Issue
What's the goal of the project?
Describe the aim of the project.
The goal is to create a system that can detect whether a person is wearing a face mask or not using your webcam. The project will involve:
Training a Machine Learning Model: Use a pre-trained model (like MobileNetV2) and fine-tune it to classify images of people with and without face masks.
Real-Time Detection: Integrate the model with OpenCV to process video frames from a webcam and detect if a person is wearing a mask in real-time.
User Feedback: Display a message on the screen indicating whether a mask is present or not, and draw bounding boxes around the detected faces.
Name
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Dharunkumar
GitHub ID
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Dharun235
Email ID
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dharun.official.01@gmail.com
Identify Yourself
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Contributor under GSSoC'EXTD and Hacktoberfest
Closes
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Closes: #issue-number
#918
Describe the Add-ons or Changes You've Made
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Added the dataset, model file, code for model training and model deployment in python is added along with readme file.
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How Has This Been Tested?
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Tested for model accuracy, then tested for camera feed, then model deployment in the camera feed all in my local pc.
Checklist
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