Spaces:
Sleeping
Sleeping
Update Model/dino/dino.py
Browse files- Model/dino/dino.py +2 -2
Model/dino/dino.py
CHANGED
|
@@ -15,7 +15,7 @@ class DinoV2(nn.Module):
|
|
| 15 |
def __init__(self, model_name):
|
| 16 |
super().__init__()
|
| 17 |
self.vision_encoder = torch.hub.load('facebookresearch/dinov2', model_name)
|
| 18 |
-
self.vision_encoder = self.vision_encoder.eval()
|
| 19 |
return
|
| 20 |
|
| 21 |
def forward(self, x):
|
|
@@ -24,6 +24,6 @@ class DinoV2(nn.Module):
|
|
| 24 |
def get_output_dim(self):
|
| 25 |
with torch.no_grad():
|
| 26 |
dummpy_input_image = preprocess(Image.fromarray(numpy.zeros((512, 512, 3), dtype=numpy.uint8))).to(
|
| 27 |
-
next(self.parameters()).device)
|
| 28 |
encoder_output_size = self.vision_encoder(dummpy_input_image.unsqueeze(0)).shape[-1]
|
| 29 |
return encoder_output_size
|
|
|
|
| 15 |
def __init__(self, model_name):
|
| 16 |
super().__init__()
|
| 17 |
self.vision_encoder = torch.hub.load('facebookresearch/dinov2', model_name)
|
| 18 |
+
self.vision_encoder = self.vision_encoder.eval()
|
| 19 |
return
|
| 20 |
|
| 21 |
def forward(self, x):
|
|
|
|
| 24 |
def get_output_dim(self):
|
| 25 |
with torch.no_grad():
|
| 26 |
dummpy_input_image = preprocess(Image.fromarray(numpy.zeros((512, 512, 3), dtype=numpy.uint8))).to(
|
| 27 |
+
next(self.parameters()).device)
|
| 28 |
encoder_output_size = self.vision_encoder(dummpy_input_image.unsqueeze(0)).shape[-1]
|
| 29 |
return encoder_output_size
|