Update ConfigurationFile.md

docs/ConfigurationFile.md

@@ -6,39 +6,46 @@ Deepforest comes with a sample config file, deepforest_config.yml. Edit this fil
 the config.yml must be updated instead of updating the dictionary of an already loaded model.
 
 ```
-# Config file for DeepForest module
+# Config file for DeepForest pytorch module
 
-#cpu workers for data loaders
-#Dataloaders
+# Cpu workers for data loaders
+# Dataloaders
 workers: 1
 devices: auto
 accelerator: auto
 batch_size: 1
 
-#Non-max supression of overlapping predictions
+# Model Architecture
+architecture: 'retinanet'
+num_classes: 1
 nms_thresh: 0.05
-score_thresh: 0.1
 
-train:
+# Architecture specific params
+retinanet:
+    # Non-max supression of overlapping predictions
+    score_thresh: 0.1
 
+train:
     csv_file:
     root_dir:
 
-    #Optomizer  initial learning rate
+    # Optimizer initial learning rate
     lr: 0.001
 
-    #Print loss every n epochs
+    # Print loss every n epochs
     epochs: 1
-    #Useful debugging flag in pytorch lightning, set to True to get a single batch of training to test settings.
+    # Useful debugging flag in pytorch lightning, set to True to get a single batch of training to test settings.
     fast_dev_run: False
+    # pin images to GPU memory for fast training. This depends on GPU size and number of images.
+    preload_images: False
 
 validation:
-    #callback args
+    # callback args
     csv_file: 
     root_dir:
-    #Intersection over union evaluation
+    # Intersection over union evaluation
     iou_threshold: 0.4
-    val_accuracy_interval: 5
+    val_accuracy_interval: 20
 ```
 
 ## Dataloaders