Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Allow SuperPoint_Open weights to be loaded from local cache #68

Merged
merged 1 commit into from
Apr 2, 2024
Merged

Allow SuperPoint_Open weights to be loaded from local cache #68

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 6 additions & 1 deletion gluefactory/models/extractors/superpoint_open.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,7 @@
"""

from collections import OrderedDict
from pathlib import Path
from types import SimpleNamespace

import torch
Expand Down Expand Up @@ -85,6 +86,7 @@ class SuperPoint(BaseModel):
"descriptor_dim": 256,
"channels": [64, 64, 128, 128, 256],
"dense_outputs": None,
"weights": None, # local path of pretrained weights
}

checkpoint_url = "https://github.com/rpautrat/SuperPoint/raw/master/weights/superpoint_v6_from_tf.pth" # noqa: E501
Expand Down Expand Up @@ -112,7 +114,10 @@ def _init(self, conf):
VGGBlock(c, self.conf.descriptor_dim, 1, relu=False),
)

state_dict = torch.hub.load_state_dict_from_url(self.checkpoint_url)
if conf.weights is not None and Path(conf.weights).exists():
state_dict = torch.load(conf.weights, map_location="cpu")
else:
state_dict = torch.hub.load_state_dict_from_url(self.checkpoint_url)
self.load_state_dict(state_dict)

def _forward(self, data):
Expand Down
Loading