Update documentation

docs/usage/predict.md

@@ -17,9 +17,11 @@ Use the `teklia-dan predict` command to predict a trained DAN model on an image.
 | `--attention-map`           | Whether to plot attention maps.                                                              | `bool`  | `False`       |
 | `--attention-map-scale`     | Image scaling factor before creating the GIF.                                                | `float` | `0.5`         |
 | `--attention-map-level`     | Level to plot the attention maps. Should be in `["line", "word", "char"]`.                   | `str`   | `"line"`      |
-| `--predict-objects`         | Whether to return polygons coordinates.                                                      | `bool`  | `False`      |
+| `--predict-objects`         | Whether to return polygons coordinates.                                                      | `bool`  | `False`       |
 | `--word-separators`         | List of word separators.                                                                     | `list`  | `[" ", "\n"]` |
 | `--line-separators`         | List of line separators.                                                                     | `list`  | `["\n"]`      |
+| `--threshold-method`        | Method to use for attention mask thresholding. Should be in `["otsu", "simple"]`.            | `str`   | `"otsu"`      |
+| `--threshold-value `        | Threshold to use for the "simple" thresholding method.                                       | `str`   | `0`      |
 
 ## Examples
 
@@ -116,7 +118,8 @@ teklia-dan predict \
     --output dan_humu_page/predict/ \
     --scale 0.5 \
     --attention-map \
-    --predict-objects
+    --predict-objects \
+    --threshold-method otsu
 ```
 
 It will create the following JSON file named `dan_humu_page/predict/example.json` and a GIF showing a line-level attention map with extracted polygons `dan_humu_page/predict/example_line.gif`