glue-factory-custom/gluefactory/models/matchers/lightglue_pretrained.py

37 lines
1.0 KiB
Python

from lightglue import LightGlue as LightGlue_
from omegaconf import OmegaConf
from ..base_model import BaseModel
class LightGlue(BaseModel):
default_conf = {"features": "superpoint", **LightGlue_.default_conf}
required_data_keys = [
"view0",
"keypoints0",
"descriptors0",
"view1",
"keypoints1",
"descriptors1",
]
def _init(self, conf):
dconf = OmegaConf.to_container(conf)
self.net = LightGlue_(dconf.pop("features"), **dconf)
self.set_initialized()
def _forward(self, data):
required_keys = ["keypoints", "descriptors", "scales", "oris"]
view0 = {
**data["view0"],
**{k: data[k + "0"] for k in required_keys if (k + "0") in data},
}
view1 = {
**data["view1"],
**{k: data[k + "1"] for k in required_keys if (k + "1") in data},
}
return self.net({"image0": view0, "image1": view1})
def loss(pred, data):
raise NotImplementedError