https://github.com/mohamedsebaie/face_mask_detector_webapp-by_streamlit_heroku-

This Project has been implemented by using OpenCV to detect faces in the input images and a pre-trained Keras CNN model (MobileNetV2) as mask/no-mask binary classifier applied to the faces Images. The Deep Learning model currently used has been trained using images data set from Kaggle. The trained model has been shared in this repo.
https://github.com/mohamedsebaie/face_mask_detector_webapp-by_streamlit_heroku-

caffee cnn-keras colab-notebook convolutional-neural-networks datagenerator deep-learning face-detection heroku-deployment image-classification imagenet keras mask-detection mobilenetv2 opencv pre-trained-model python streamlit transfer-learning webapp

Last synced: 16 days ago
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This Project has been implemented by using OpenCV to detect faces in the input images and a pre-trained Keras CNN model (MobileNetV2) as mask/no-mask binary classifier applied to the faces Images. The Deep Learning model currently used has been trained using images data set from Kaggle. The trained model has been shared in this repo.

• Host: GitHub
• URL: https://github.com/mohamedsebaie/face_mask_detector_webapp-by_streamlit_heroku-
• Owner: MohamedSebaie
• Created: 2021-03-14T23:10:08.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-09-23T11:10:11.000Z (over 3 years ago)
• Last Synced: 2024-11-20T17:56:28.288Z (3 months ago)
• Topics: caffee, cnn-keras, colab-notebook, convolutional-neural-networks, datagenerator, deep-learning, face-detection, heroku-deployment, image-classification, imagenet, keras, mask-detection, mobilenetv2, opencv, pre-trained-model, python, streamlit, transfer-learning, webapp
• Language: Jupyter Notebook
• Homepage:
• Size: 72.7 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0

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