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patch: Greyscale image prediction condition.
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@ -38,14 +38,15 @@ class Demography(ABC):
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if not self.model_name: # Check if called from derived class
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raise NotImplementedError("no model selected")
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assert img_batch.ndim == 4, "expected 4-dimensional tensor input"
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# Single image
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if img_batch.shape[0] == 1:
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if img_batch.shape[-1] != 3: # Handle grayscale image, check last dimension.
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# Check if grayscale by checking last dimension, if not 3, it is grayscale.
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if img_batch.shape[-1] != 3:
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# Remove batch dimension
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img_batch = img_batch.squeeze(0)
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img_batch = img_batch.squeeze(0) # Remove batch dimension
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if img_batch.shape[0] == 1: # Single image
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# Predict with legacy method.
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return self.model(img_batch, training=False).numpy()[0, :]
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# Batch of images
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# Predict with batch prediction
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return self.model.predict_on_batch(img_batch)
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