Loai-Houmane/2D-Anomaly-Detection
This project detects anomalies in 2D data using PyTorch for model training and Flutter for a cross-platform application. Key features include 📊 pre-trained models, a 📱 Flutter mobile app that shows heat maps, a 🌐 Flask server backend, and a 🖥️ Tkinter desktop app.
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Python
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MIT
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Jul 13, 2024
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