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| | import torch.nn as nn |
| | from transformers import ViTImageProcessor, ViTModel, AutoImageProcessor, AutoModel, Dinov2Model |
| |
|
| | class DinoWrapper(nn.Module): |
| | """ |
| | Dino v1 wrapper using huggingface transformer implementation. |
| | """ |
| | def __init__(self, model_name: str, freeze: bool = True): |
| | super().__init__() |
| | self.model, self.processor = self._build_dino(model_name) |
| | if freeze: |
| | self._freeze() |
| |
|
| | def forward(self, image): |
| | |
| | |
| | inputs = self.processor(images=image.float(), return_tensors="pt", do_rescale=False, do_resize=False).to(self.model.device) |
| | |
| | outputs = self.model(**inputs) |
| | last_hidden_states = outputs.last_hidden_state |
| | return last_hidden_states |
| |
|
| | def _freeze(self): |
| | print(f"======== Freezing DinoWrapper ========") |
| | self.model.eval() |
| | for name, param in self.model.named_parameters(): |
| | param.requires_grad = False |
| |
|
| | @staticmethod |
| | def _build_dino(model_name: str, proxy_error_retries: int = 3, proxy_error_cooldown: int = 5): |
| | import requests |
| | try: |
| | processor = AutoImageProcessor.from_pretrained('facebook/dinov2-base') |
| | processor.do_center_crop = False |
| | model = AutoModel.from_pretrained('facebook/dinov2-base') |
| | return model, processor |
| | except requests.exceptions.ProxyError as err: |
| | if proxy_error_retries > 0: |
| | print(f"Huggingface ProxyError: Retrying in {proxy_error_cooldown} seconds...") |
| | import time |
| | time.sleep(proxy_error_cooldown) |
| | return DinoWrapper._build_dino(model_name, proxy_error_retries - 1, proxy_error_cooldown) |
| | else: |
| | raise err |