matjesg commited on
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e174a5c
1 Parent(s): 50dbe1c

Create pipeline.py

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  1. pipeline.py +36 -0
pipeline.py ADDED
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+ from typing import Any, Dict, List
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+
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+ import numpy as np
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+ from huggingface_hub import from_pretrained_fastai
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+ from PIL import Image
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+
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+
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+ class ImageSegmentationPipeline():
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+ def __init__(self, model_id: str):
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+ self.model = from_pretrained_fastai(model_id)
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+
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+ # Obtain labels
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+ self.id2label = self.model.dls.vocab
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+
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+ # Return at most the top 5 predicted classes
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+ self.top_k = 5
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+
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+ def __call__(self, inputs: "Image.Image") -> List[Dict[str, Any]]:
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+ """
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+ Args:
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+ inputs (:obj:`PIL.Image`):
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+ The raw image representation as PIL.
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+ No transformation made whatsoever from the input. Make all necessary transformations here.
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+ Return:
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+ A :obj:`list`:. The list contains items that are dicts should be liked {"label": "XXX", "score": 0.82}
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+ It is preferred if the returned list is in decreasing `score` order
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+ """
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+ # FastAI expects a np array, not a PIL Image.
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+ _, _, preds = self.model.predict(np.array(inputs))
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+ preds = preds.tolist()
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+
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+ labels = [
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+ {"label": str(self.id2label[i]), "score": float(preds[i])}
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+ for i in range(len(preds))
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+ ]
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+ return sorted(labels, key=lambda tup: tup["score"], reverse=True)[: self.top_k]