Fix formats complained by docformatter and mdformat in pre-commit

README.md

@@ -81,4 +81,4 @@ This material is based upon work supported by the Defense Advanced Research Proj
 
 ## Disclaimer
 
-This “research quality code”  is provided by Intel “As Is” without any express or implied warranty of any kind. Intel does not warrant or assume responsibility for the accuracy or completeness of any information, text, graphics, links or other items within the code. A thorough security review has not been performed on this code. Additionally, this repository will not be actively maintained and as such may contain components that are out of date, or contain known security vulnerabilities. Proceed with caution.
+This “research quality code” is provided by Intel “As Is” without any express or implied warranty of any kind. Intel does not warrant or assume responsibility for the accuracy or completeness of any information, text, graphics, links or other items within the code. A thorough security review has not been performed on this code. Additionally, this repository will not be actively maintained and as such may contain components that are out of date, or contain known security vulnerabilities. Proceed with caution.

examples/anomalib_adversary/README.md

@@ -12,7 +12,7 @@ pip install -e .
 
 ## Experiment
 
-0. \[Optional\] Soft link the existing datasets folder from Anomalib if you have downloaded datasets before with Anomalib.
+0. [Optional] Soft link the existing datasets folder from Anomalib if you have downloaded datasets before with Anomalib.
 
 ```sh
 ln -s {PATH_TO_ANOMALIB_REPO}/datasets .

mart/utils/export.py

@@ -121,9 +121,10 @@ def _get_coco_format_annotations(
 
     Format is defined at https://cocodataset.org/#format-data
 
-    The code is adapted from https://github.com/PyTorchLightning/metrics/blob/v0.6.0/torchmetrics/detection/map.py#L356
-        Return annotations only;
-        Add image_id.
+    The code is adapted from
+    https://github.com/PyTorchLightning/metrics/blob/v0.6.0/torchmetrics/detection/map.py#L356
+    Return annotations only;
+    Add image_id.
     """
 
     annotations = []