Enforce exact (256, 256) input size with forced resizing in app.py to prevent dimension mismatch

Add center padding in app.py to ensure exact (256, 256) input size for ConvAutoencoder

Ensure exact (256, 256) resizing using OpenCV in app.py to resolve tensor dimension mismatch issues

Fix enforced tensor resizing to (256, 256) for consistent model input dimensions in app.py

Add padding/cropping to ensure exact (256, 256) input size for ConvAutoencoder model in app.py

Add requirements.txt with necessary libraries for ConvAutoencoder training and deployment

Update app.py with fixed-size (256, 256) input handling for consistent inference

Add train_model.py for training ConvAutoencoder with fixed (256, 256) input size

Fix enforced padding in app.py to ensure consistent (256, 256) dimensions for model input

Fix explicit resizing with torch.nn.functional.interpolate to ensure consistent model input dimensions in app.py

Add torchvision-based resizing in app.py to ensure consistent (256, 256) dimensions for model input

Add torchvision to requirements.txt for consistent resizing of input images in app.py

Fix enforced resizing of input slice to ensure (256, 256) dimensions for model compatibility

Fix input resizing in app.py to ensure all NIfTI slices match model dimensions and prevent dimension mismatches

Add necessary dependencies to requirements.txt for Gradio app deployment, including OpenCV and Nibabel

Update app.py to replace scipy zoom with OpenCV resize for resizing best_slice to (256, 256)

Add resizing step in app.py to ensure compatibility of best slice with model input size

Add robust error handling to app.py to improve NIfTI file processing and model inference stability

Update app.py to add anomaly detection message and improve reconstruction error output visualization

Add detailed debugging to predict function in app.py to diagnose NIfTI file processing and model inference steps

Update app.py to use filepath type for multiple file uploads with gr.Files

Update app.py to use gr.Files for multiple file inputs

Update app.py to fix Gradio inputs/outputs compatibility with the latest API

Update app.py with modified ConvAutoencoder architecture and model loading adjustments

Update model architecture to match saved state_dict

Update model architecture to match saved state_dict

Updated app.py with ConvAutoencoder interface code

Update app.py

Create requirements.txt

Upload conv_autoencoder_model.pth

Create app.py

initial commit