Spaces:
Sleeping
Sleeping
| import tensorflow_hub as hub | |
| import numpy as np | |
| class ModelnetV3(): | |
| def __init__(self): | |
| module_handle = "https://tfhub.dev/google/imagenet/mobilenet_v3_large_100_224/feature_vector/5" | |
| self.module = hub.load(module_handle) | |
| def extract_feature(self, imgs): | |
| print('getting with ModelnetV3...') | |
| features = [] | |
| for img in imgs: | |
| features.append(np.squeeze(self.module(img))) | |
| return features |