Image Classification
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@@ -26,3 +26,27 @@ advanced decay, and skeletonized (Megyesi et al., 2005).
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  ## Usage
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  The stage of decay classification is bodypart specific, that is, for the head, torso, or limbs.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Usage
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  The stage of decay classification is bodypart specific, that is, for the head, torso, or limbs.
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+ Classes: fresh (1), early decay (2), advanced decay (3), and skeletonized (4) based on [Megyesi et al's](https://pubmed.ncbi.nlm.nih.gov/15932096/) scoring method.
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+
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+
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+ ```python
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+ from tensorflow.keras.models import load_model
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+ import numpy as np
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+ from tensorflow.keras.preprocessing.image import img_to_array, load_img
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+
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+ # Load the entire model
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+ model = load_model('path_to_your_model') # e.g. head/inceptionV3 to perform stage of decay classfication of head images
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+
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+ # Load and preprocess an image
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+ img = load_img('path_to_image.jpg', target_size=(299, 299)) # adjust size as per model input
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+ img = img_to_array(img) # convert to numpy array
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+ img = np.expand_dims(img, axis=0) # add batch dimension
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+ img = img / 255.0 # normalize pixel values if needed
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+
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+ # Make predictions
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+ predictions = model.predict(img)
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+
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+ # Use argmax to get the class label
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+ predicted_class = np.argmax(predictions, axis=1)
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+ ```
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+