Fixing list

Author: qubvel

segmentation_models_pytorch/decoders/dpt/model.py

@@ -54,10 +54,11 @@ class DPT(SegmentationModel):
             **callable** and **None**. Default is **None**.
         aux_params: Dictionary with parameters of the auxiliary output (classification head). Auxiliary output is build
             on top of encoder if **aux_params** is not **None** (default). Supported params:
-            - **classes** (*int*): A number of classes;
-            - **pooling** (*str*): One of "max", "avg". Default is "avg";
-            - **dropout** (*float*): Dropout factor in [0, 1);
-            - **activation** (*str*): An activation function to apply "sigmoid"/"softmax" (could be **None** to return logits).
+
+             - **classes** (*int*): A number of classes;
+             - **pooling** (*str*): One of "max", "avg". Default is "avg";
+             - **dropout** (*float*): Dropout factor in [0, 1);
+             - **activation** (*str*): An activation function to apply "sigmoid"/"softmax" (could be **None** to return logits).
         kwargs: Arguments passed to the encoder class ``__init__()`` function. Applies only to ``timm`` models. Keys with
                 ``None`` values are pruned before passing. Specify ``dynamic_img_size=True`` to allow the model to handle images of different sizes.