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Update services/detection_service.py
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services/detection_service.py
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@@ -1,3 +1,4 @@
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from transformers import pipeline
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import cv2
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@@ -6,4 +7,31 @@ object_detector = pipeline("object-detection", model="facebook/detr-resnet-50")
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def detect_objects(image_path):
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image = cv2.imread(image_path)
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results = object_detector(image)
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return [r for r in results if r['score'] > 0.7]
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'''
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from transformers import pipeline
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import cv2
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def detect_objects(image_path):
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image = cv2.imread(image_path)
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results = object_detector(image)
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return [r for r in results if r['score'] > 0.7]
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'''
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# services/detection_service.py
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from transformers import pipeline
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from PIL import Image
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# ✅ Load Hugging Face DETR pipeline properly
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object_detector = pipeline("object-detection", model="facebook/detr-resnet-50")
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def detect_objects(image_path):
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"""
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Detect objects using Hugging Face DETR pipeline.
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- Accepts a file path to a local image.
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- Converts image to PIL format.
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- Feeds into Hugging Face detector.
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- Returns list of high-confidence detections.
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"""
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# ✅ Correct way: Open image properly
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image = Image.open(image_path).convert("RGB")
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# ✅ Run inference
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results = object_detector(image)
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# ✅ Return only high-confidence detections
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return [r for r in results if r['score'] > 0.7]
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