| | import numpy as np
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| | from PIL import Image
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| | import torch
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| | from torchvision import transforms
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| |
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| |
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| |
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| |
|
| | def map_yolo_classes_to_db(yolo_detections):
|
| | """
|
| | Ajusta las clases detectadas por YOLO a las clases de la base de datos según el mapeo proporcionado.
|
| | """
|
| | mapping = {
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| | 'person': 'pedestrian',
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| | 'bicycle': 'cyclist',
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| | 'car': 'car',
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| | 'motorbike': 'cisc',
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| | 'aeroplane': 'cisc',
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| | 'bus': 'cisc',
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| | 'train': 'tram',
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| | 'truck': 'truck',
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| | 'van': 'van'
|
| | }
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| | mapped_detections = []
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| | for det in yolo_detections:
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| | if det['class'] in mapping:
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| | det['class'] = mapping[det['class']]
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| | mapped_detections.append(det)
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| | return mapped_detections
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| |
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| |
|