diff --git a/gluefactory/eval/eth3d.py b/gluefactory/eval/eth3d.py
index 7ef59fb..ef2b3a7 100644
--- a/gluefactory/eval/eth3d.py
+++ b/gluefactory/eval/eth3d.py
@@ -1,8 +1,6 @@
-import torch
 from pathlib import Path
 from omegaconf import OmegaConf
 import matplotlib.pyplot as plt
-import resource
 from collections import defaultdict
 from tqdm import tqdm
 import numpy as np
@@ -22,12 +20,6 @@ from ..models.cache_loader import CacheLoader
 from ..datasets import get_dataset
 
 
-rlimit = resource.getrlimit(resource.RLIMIT_NOFILE)
-resource.setrlimit(resource.RLIMIT_NOFILE, (4096, rlimit[1]))
-
-torch.set_grad_enabled(False)
-
-
 def eval_dataset(loader, pred_file, suffix=""):
     results = defaultdict(list)
     results["num_pos" + suffix] = 0
diff --git a/gluefactory/eval/hpatches.py b/gluefactory/eval/hpatches.py
index 3959c4c..c714bf1 100644
--- a/gluefactory/eval/hpatches.py
+++ b/gluefactory/eval/hpatches.py
@@ -1,9 +1,7 @@
-import torch
 from pathlib import Path
 from omegaconf import OmegaConf
 from pprint import pprint
 import matplotlib.pyplot as plt
-import resource
 from collections import defaultdict
 from collections.abc import Iterable
 from tqdm import tqdm
@@ -30,12 +28,6 @@ from ..utils.tools import AUCMetric
 from .eval_pipeline import EvalPipeline
 
 
-rlimit = resource.getrlimit(resource.RLIMIT_NOFILE)
-resource.setrlimit(resource.RLIMIT_NOFILE, (4096, rlimit[1]))
-
-torch.set_grad_enabled(False)
-
-
 class HPatchesPipeline(EvalPipeline):
     default_conf = {
         "data": {
diff --git a/gluefactory/eval/megadepth1500.py b/gluefactory/eval/megadepth1500.py
index df78444..d9eb337 100644
--- a/gluefactory/eval/megadepth1500.py
+++ b/gluefactory/eval/megadepth1500.py
@@ -3,7 +3,6 @@ from pathlib import Path
 from omegaconf import OmegaConf
 from pprint import pprint
 import matplotlib.pyplot as plt
-import resource
 from collections import defaultdict
 from collections.abc import Iterable
 from tqdm import tqdm
@@ -23,11 +22,6 @@ from .eval_pipeline import EvalPipeline
 
 from .utils import eval_relative_pose_robust, eval_poses, eval_matches_epipolar
 
-rlimit = resource.getrlimit(resource.RLIMIT_NOFILE)
-resource.setrlimit(resource.RLIMIT_NOFILE, (4096, rlimit[1]))
-
-torch.set_grad_enabled(False)
-
 
 class MegaDepth1500Pipeline(EvalPipeline):
     default_conf = {
diff --git a/pyproject.toml b/pyproject.toml
index 024c816..b0cc6d7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,6 +31,7 @@ dependencies = [
     "kornia",
     "seaborn",
     "joblib",
+    "lightglue @ git+https://github.com/cvg/LightGlue.git",
 ]
 urls = {Repository = "https://github.com/cvg/glue-factory"}
 
@@ -44,8 +45,8 @@ extra = [
 ]
 dev = ["black", "flake8", "jupyter"]
 
-[tool.setuptools]
-packages = ["gluefactory", "gluefactory_nonfree"]
+[tool.setuptools.packages.find]
+include = ["gluefactory*"]
 
 [tool.setuptools.package-data]
-gluefactory = ["datasets/megadepth_scene_lists/*.txt"]
+gluefactory = ["datasets/megadepth_scene_lists/*.txt", "configs/*.yaml"]