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from PIL import Image |
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from transformers import ViTFeatureExtractor, ViTForImageClassification |
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def classifier(img_path: str) -> str: |
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""" |
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Function that reads an image of a big cat (belonging to Panthera family) and returns the corresponding species |
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""" |
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img = Image.open(img_path) |
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model_panthera = ViTForImageClassification.from_pretrained( |
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"smaranjitghose/big-cat-classifier" |
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) |
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feature_extractor = ViTFeatureExtractor.from_pretrained( |
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"smaranjitghose/big-cat-classifier" |
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) |
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inputs = feature_extractor(images=img, return_tensors="pt") |
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outputs = model_panthera(**inputs) |
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logits = outputs.logits |
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predicted_class_idx = logits.argmax(-1).item() |
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return model_panthera.config.id2label[predicted_class_idx] |
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