| from typing import List | |
| import random | |
| from src.interface import ModelInterface | |
| from src.data.classification_result import ClassificationResult | |
| class MobilenetV3(ModelInterface): | |
| def __init__(self): | |
| print('init... mobilenet v3 model') | |
| def classify_image(self, image) -> List[ClassificationResult]: | |
| results = [ClassificationResult(class_name=f'example class ({i+1})', confidence=random.uniform(0, 1.0)) for i in range(5)] | |
| return results |