🐛 remove model parameters in predict (#65)

* remove model parameters in predict

---------

Co-authored-by: Bryn Lloyd <12702862+dyollb@users.noreply.github.com>

src/segmantic/seg/monai_unet.py

@@ -554,9 +554,6 @@ def predict(
     test_labels: Optional[list[Path]] = None,
     output_dir: Path = None,
     tissue_dict: dict[str, int] = None,
-    channels: tuple[int, ...] = (16, 32, 64, 128, 256),
-    strides: tuple[int, ...] = (2, 2, 2, 2),
-    dropout: float = 0.0,
     spacing: Sequence[float] = [],
     gpu_ids: list[int] = [],
 ) -> None:
@@ -568,9 +565,7 @@ def predict(
             settings = json.load(json_file)
         net: Net = Net.load_from_checkpoint(f"{model_file}", **settings)
     else:
-        net = Net.load_from_checkpoint(
-            f"{model_file}", channels=channels, strides=strides, dropout=dropout
-        )
+        net = Net.load_from_checkpoint(f"{model_file}")
     num_classes = net.num_classes
 
     net.freeze()
@@ -765,7 +760,7 @@ def cross_validate(
 
     for config_file in Path(config_files_dir).iterdir():
         assert config_file.suffix in [".json", ".yml"], f"suffix: {config_file}"
-        is_json = config_file and config_file.suffix.lower() == ".json"
+        is_json = config_file.suffix.lower() == ".json"
         dumps = partial(config.dumps, is_json=is_json)
         loads = partial(config.loads, is_json=is_json)
 
@@ -823,9 +818,6 @@ def cross_validate(
                             test_images=test_images,
                             test_labels=test_labels,
                             tissue_dict=tissue_dict,
-                            # channels=current_layers,
-                            # strides=current_strides,
-                            dropout=0.0,
                             spacing=[1, 1, 1],
                             gpu_ids=gpu_ids,
                         )