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Add GIM LightGlue weights #166

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Add GIM LightGlue weights #166

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21 changes: 18 additions & 3 deletions lightglue/lightglue.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,6 +2,7 @@
from pathlib import Path
from types import SimpleNamespace
from typing import Callable, List, Optional, Tuple
from urllib.request import urlretrieve

import numpy as np
import torch
Expand Down Expand Up @@ -371,6 +372,14 @@ class LightGlue(nn.Module):
"input_dim": 128,
"add_scale_ori": True,
},
"gim_superpoint": {
# Source: https://github.com/xuelunshen/gim
# Paper: https://arxiv.org/pdf/2402.11095
# License: https://github.com/xuelunshen/gim/blob/main/LICENSE (MIT License)
"weights": "gim_superpoint_lightglue",
"input_dim": 256,
"url": "https://github.com/xuelunshen/gim/raw/refs/heads/main/weights/gim_lightglue_100h.ckpt", # noqa: E501
},
}

def __init__(self, features="superpoint", **conf) -> None:
Expand Down Expand Up @@ -413,7 +422,7 @@ def __init__(self, features="superpoint", **conf) -> None:
)

state_dict = None
if features is not None:
if features is not None and not hasattr(self.conf, "url"):
fname = f"{conf.weights}_{self.version.replace('.', '-')}.pth"
state_dict = torch.hub.load_state_dict_from_url(
self.url.format(self.version, features), file_name=fname
Expand All @@ -422,15 +431,21 @@ def __init__(self, features="superpoint", **conf) -> None:
elif conf.weights is not None:
path = Path(__file__).parent
path = path / "weights/{}.pth".format(self.conf.weights)
state_dict = torch.load(str(path), map_location="cpu")

if not path.exists() and hasattr(self.conf, "url"):
urlretrieve(conf.url, filename=path)
state_dict = torch.load(str(path), map_location="cpu", weights_only=True)
if state_dict:
if "state_dict" in state_dict:
# for compatibility with old checkpoints
state_dict = state_dict["state_dict"]
# rename old state dict entries
for i in range(self.conf.n_layers):
pattern = f"self_attn.{i}", f"transformers.{i}.self_attn"
state_dict = {k.replace(*pattern): v for k, v in state_dict.items()}
pattern = f"cross_attn.{i}", f"transformers.{i}.cross_attn"
state_dict = {k.replace(*pattern): v for k, v in state_dict.items()}
# Fix common naming errors in state dicts.
state_dict = {k.replace("model.", ""): v for k, v in state_dict.items()}
self.load_state_dict(state_dict, strict=False)

# static lengths LightGlue is compiled for (only used with torch.compile)
Expand Down