updated export to openmvg and export to db to read camera option file

main.py

@@ -21,15 +21,13 @@
 feature_path, match_path = matcher.run()
 
 # Export in colmap format
-with open(config.general["camera_options"], "r") as file:
-    camera_options = yaml.safe_load(file)
 database_path = output_dir / "database.db"
 dim.io.export_to_colmap(
     img_dir=imgs_dir,
     feature_path=feature_path,
     match_path=match_path,
     database_path=database_path,
-    camera_options=camera_options,
+    camera_config_path=config.general["camera_options"],
 )
 
 # Visualize view graph
@@ -56,7 +54,7 @@
         openmvg_out_path=openmvg_out_path,
         openmvg_sfm_bin=openmvg_sfm_bin,
         openmvg_database=openmvg_database,
-        camera_options=camera_options,
+        camera_config_path=config.general["camera_options"],
     )
 
     # Reconstruction with OpenMVG

src/deep_image_matching/io/h5_to_db.py

@@ -32,7 +32,7 @@
 
 logger = logging.getLogger("dim")
 
-default_camera_options = {
+DEFAULT_CAM_OPTIONS = {
     "general": {
         "single_camera": False,
         "camera_model": "simple-radial",
@@ -85,7 +85,7 @@ def export_to_colmap(
         with open(camera_config_path, "r") as file:
             camera_options = yaml.safe_load(file)
     else:
-        camera_options = default_camera_options
+        camera_options = DEFAULT_CAM_OPTIONS
 
     # Create the database and add keypoints and matches
     db = COLMAPDatabase.connect(database_path)

src/deep_image_matching/io/h5_to_openmvg.py

@@ -14,6 +14,7 @@
 
 import h5py
 import numpy as np
+import yaml
 from PIL import Image
 from tqdm import tqdm
 
@@ -26,6 +27,13 @@
     "pinhole_brown_t2": "disto_t2",
 }
 
+DEFAULT_CAM_OPTIONS = {
+    "general": {
+        "single_camera": False,
+        "openmvg_camera_model": "pinhole_radial_k3",
+    },
+}
+
 
 def loadJSON(sfm_data):
     with open(sfm_data) as file:
@@ -331,7 +339,7 @@ def export_to_openmvg(
     feature_path: Path,
     match_path: Path,
     openmvg_out_path: Path,
-    camera_options: dict,
+    camera_config_path: Path,
     openmvg_sfm_bin: Path = None,
     openmvg_database: Path = None,
 ) -> None:
@@ -345,7 +353,7 @@ def export_to_openmvg(
         feature_path (Path): Path to the feature file (HDF5 format).
         match_path (Path): Path to the match file (HDF5 format).
         openmvg_out_path (Path): Path to the desired output directory for the OpenMVG project.
-        camera_options (dict): Camera configuration options.
+        camera_config_path (Path): Path to the camera options yaml file.
         openmvg_sfm_bin (Path, optional): Path to the OpenMVG SfM executable. If not provided,
                                           attempts to find it automatically (Linux only).
         openmvg_database (Path, optional): Path to the OpenMVG sensor width database.
@@ -358,6 +366,22 @@ def export_to_openmvg(
         os.rmdir(openmvg_out_path)
     openmvg_out_path.mkdir(parents=True)
 
+    if not img_dir.exists():
+        raise FileNotFoundError(f"Image directory {img_dir} does not exist.")
+    if not feature_path.exists():
+        raise FileNotFoundError(f"Feature file {feature_path} does not exist.")
+    if not match_path.exists():
+        raise FileNotFoundError(f"Match file {match_path} does not exist.")
+    if not camera_config_path.exists():
+        raise FileNotFoundError(f"Camera options file {camera_config_path} does not exist.")
+
+    # If a config file is provided, read camera options, otherwise use defaults
+    if camera_config_path is not None:
+        with open(camera_config_path, "r") as file:
+            camera_options = yaml.safe_load(file)
+    else:
+        camera_options = DEFAULT_CAM_OPTIONS
+
     # NOTE: this part meybe is not needed here...
     if openmvg_sfm_bin is None:
         # Try to find openMVG binaries (only on linux)