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# Face Mask Detection
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1. Clone repository
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2. Download dataset from: https://www.kaggle.com/andrewmvd/face-mask-detection
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3. In the project create folder 'data'
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4. Put 'annotations' and 'images' folders into 'data' folder
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5. You can now run project (it uses saved model 'face_mask_detection2.hp') or you can train model yoursel and to do that:
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Clone the repository and run project (it uses saved model 'face_mask_detection2.hp') or:
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1. Download dataset from: https://www.kaggle.com/andrewmvd/face-mask-detection
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2. In the project create folder 'data'
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3. Put downloaded 'annotations' and 'images' folders into 'data' folder
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4. Train model yourself:
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- execute jupyter notebook 'data_preprocessing.ipynb' - data preprocessing
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- execute jupyter notebook 'train_model.ipynb' - it will overwrite face_mask_detection2.hp' file
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- run project
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