Update modules/ai_model.py
Browse files- modules/ai_model.py +11 -7
modules/ai_model.py
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from transformers import
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import torch
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from PIL import Image
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# Load pre-trained DETR model
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processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50")
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model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50")
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def run_inference(
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inputs =
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# Run inference
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outputs = model(**inputs)
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from transformers import DetrForObjectDetection, AutoFeatureExtractor
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import torch
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from PIL import Image
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# Load the pre-trained DETR model and feature extractor
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model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50")
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feature_extractor = AutoFeatureExtractor.from_pretrained("facebook/detr-resnet-50")
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def run_inference(image):
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# Preprocess the image using AutoFeatureExtractor
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inputs = feature_extractor(images=image, return_tensors="pt")
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# Run inference
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outputs = model(**inputs)
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# Post-process the output (get bounding boxes)
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results = feature_extractor.post_process_object_detection(outputs, target_sizes=[image.size[::-1]], threshold=0.9)[0]
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return results
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