predict out folder flexibility

Author: PatBall1

detectree2/models/predict.py

@@ -20,6 +20,7 @@
 
 def predict_on_data(
     directory: str = "./",
+    out_folder: str = "predictions",
     predictor=DefaultPredictor,
     eval=False,
     save: bool = True,
@@ -30,7 +31,7 @@ def predict_on_data(
     Predicts crowns for all png images present in a directory and outputs masks as jsons.
     """
 
-    pred_dir = os.path.join(directory, "predictions")
+    pred_dir = os.path.join(directory, out_folder)
 
     Path(pred_dir).mkdir(parents=True, exist_ok=True)
 

docs/source/tutorial.rst

@@ -331,7 +331,7 @@ Point to a trained model, set up the configuration state and make predictions on
    
    trained_model = "./230103_randresize_full.pth"
    cfg = setup_cfg(update_model=trained_model)
-   predict_on_data(tiles_path, DefaultPredictor(cfg))
+   predict_on_data(tiles_path, predictor=DefaultPredictor(cfg))
 
 Once the predictions have been made on the tiles, it is necessary to project them back into geographic space.