Update use.md

use.md

@@ -214,6 +214,7 @@ About the `argtype`:
   The program will parse these args from the terminal at each time.
 
 <!-- DO NOT CHANGE THIS LINE -->
+
 ### Basic args
 
 - `--K_train`: type=`int`, argtype=`static`.
@@ -222,6 +223,12 @@ About the `argtype`:
 - `--K`: type=`int`, argtype=`dynamic`.
   Number of multiple generations when testing. This arg only works for multiple-generation models. 
   The default value is `20`.
+- `--anntype`: type=`str`, argtype=`static`.
+  Model's predicted annotation type. Can be `'coordinate'` or `'boundingbox'`. 
+  The default value is `coordinate`.
+- `--auto_dimension`: type=`int`, argtype=`temporary`.
+  Choose whether to handle the dimension adaptively. It is now only used for silverballers models that are trained with annotation type `coordinate` but want to test on datasets with annotation type `boundingbox`. 
+  The default value is `0`.
 - `--batch_size` (short for `-bs`): type=`int`, argtype=`dynamic`.
   Batch size when implementation. 
   The default value is `5000`.
@@ -279,9 +286,18 @@ About the `argtype`:
 - `--obs_frames` (short for `-obs`): type=`int`, argtype=`static`.
   Observation frames for prediction. 
   The default value is `8`.
+- `--pmove`: type=`int`, argtype=`static`.
+  Index of the reference point when moving trajectories. 
+  The default value is `-1`.
 - `--pred_frames` (short for `-pred`): type=`int`, argtype=`static`.
   Prediction frames. 
   The default value is `12`.
+- `--protate`: type=`float`, argtype=`static`.
+  Reference degree when rotating trajectories. 
+  The default value is `0.0`.
+- `--pscale`: type=`str`, argtype=`static`.
+  Index of the reference point when scaling trajectories. 
+  The default value is `autoref`.
 - `--restore_args`: type=`str`, argtype=`temporary`.
   Path to restore the reference args before training. It will not restore any args if `args.restore_args == 'null'`. 
   The default value is `null`.
@@ -321,12 +337,33 @@ About the `argtype`:
 - `--feature_dim`: type=`int`, argtype=`static`.
   Feature dimensions that are used in most layers. 
   The default value is `128`.
+- `--key_points`: type=`str`, argtype=`static`.
+  A list of key time steps to be predicted in the agent model. For example, `'0_6_11'`. 
+  The default value is `0_6_11`.
 - `--loada` (short for `-la`): type=`str`, argtype=`temporary`.
   Path to load the first-stage agent model. 
   The default value is `null`.
 - `--loadb` (short for `-lb`): type=`str`, argtype=`temporary`.
   Path to load the second-stage handler model. 
   The default value is `null`.
+- `--msn_hotel_fix`: type=`int`, argtype=`static`.
+  Fix the training process of MSN on ETH-hotel by applying rotation. 
+  The default value is `0`.
+- `--preprocess`: type=`str`, argtype=`static`.
+  Controls whether to run any pre-process before the model inference. It accepts a 3-bit-like string value (like `'111'`): - The first bit: `MOVE` trajectories to (0, 0); - The second bit: re-`SCALE` trajectories; - The third bit: `ROTATE` trajectories. 
+  The default value is `111`.
+
+### First-stage silverballers args
+
+- `--depth`: type=`int`, argtype=`static`.
+  Depth of the random noise vector. 
+  The default value is `16`.
+
+### Second-stage silverballers args
+
+- `--points`: type=`int`, argtype=`static`.
+  The number of keypoints accepted in the handler model. 
+  The default value is `1`.
 <!-- DO NOT CHANGE THIS LINE -->
 
 ## Thanks