update precommit

Signed-off-by: vladmandic <mandic00@live.com>

.pre-commit-config.yaml

@@ -13,20 +13,17 @@ repos:
   rev: v6.0.0
   hooks:
   - id: check-added-large-files
-  - id: check-case-conflict
-  - id: check-merge-conflict
-  - id: check-symlinks
-  - id: check-illegal-windows-names
-  - id: check-merge-conflict
-  - id: detect-private-key
   - id: check-builtin-literals
   - id: check-case-conflict
+  - id: check-illegal-windows-names
+  - id: check-merge-conflict
   - id: check-symlinks
-  - id: check-yaml
   - id: check-json
   - id: check-toml
   - id: check-xml
+  - id: check-yaml
   - id: debug-statements
+  - id: detect-private-key
   - id: end-of-file-fixer
   - id: mixed-line-ending
   - id: check-executables-have-shebangs
@@ -42,7 +39,12 @@ repos:
                 .github/ISSUE_TEMPLATE/.*\.yml
             )$
 - repo: https://github.com/oliv5/pre-commit-indents-to-spaces
-  rev: v0.0.1
+  rev: v0.0.3
   hooks:
-      - id: indents-to-tabs
+  - id: indents-to-spaces
-        args: ["--spaces=4"]
+    args: ["--spaces=4"]
+    types: [python]
+  - id: indents-to-spaces
+    args: ["--spaces=2"]
+    types: [file]
+    files: \.(json|js|mjs|css|html|md|yaml|toml|sh)$

modules/control/proc/zoe/zoedepth/models/base_models/midas_repo/README.md

@@ -216,10 +216,10 @@ Speed: 22 FPS
     - New models based on [Dense Prediction Transformers](https://arxiv.org/abs/2103.13413) are on average [21% more accurate](#Accuracy) than MiDaS v2.1
     - Additional models can be found [here](https://github.com/isl-org/DPT)
 * [Nov 2020] Released MiDaS v2.1:
-	- New model that was trained on 10 datasets and is on average about [10% more accurate](#Accuracy) than [MiDaS v2.0](https://github.com/isl-org/MiDaS/releases/tag/v2)
+  - New model that was trained on 10 datasets and is on average about [10% more accurate](#Accuracy) than [MiDaS v2.0](https://github.com/isl-org/MiDaS/releases/tag/v2)
-	- New light-weight model that achieves [real-time performance](https://github.com/isl-org/MiDaS/tree/master/mobile) on mobile platforms.
+  - New light-weight model that achieves [real-time performance](https://github.com/isl-org/MiDaS/tree/master/mobile) on mobile platforms.
-	- Sample applications for [iOS](https://github.com/isl-org/MiDaS/tree/master/mobile/ios) and [Android](https://github.com/isl-org/MiDaS/tree/master/mobile/android)
+  - Sample applications for [iOS](https://github.com/isl-org/MiDaS/tree/master/mobile/ios) and [Android](https://github.com/isl-org/MiDaS/tree/master/mobile/android)
-	- [ROS package](https://github.com/isl-org/MiDaS/tree/master/ros) for easy deployment on robots
+  - [ROS package](https://github.com/isl-org/MiDaS/tree/master/ros) for easy deployment on robots
 * [Jul 2020] Added TensorFlow and ONNX code. Added [online demo](http://35.202.76.57/).
 * [Dec 2019] Released new version of MiDaS - the new model is significantly more accurate and robust
 * [Jul 2019] Initial release of MiDaS ([Link](https://github.com/isl-org/MiDaS/releases/tag/v1))
@@ -242,10 +242,10 @@ If you use a DPT-based model, please also cite:
 
 ```
 @article{Ranftl2021,
-	author    = {Ren\'{e} Ranftl and Alexey Bochkovskiy and Vladlen Koltun},
+  author    = {Ren\'{e} Ranftl and Alexey Bochkovskiy and Vladlen Koltun},
-	title     = {Vision Transformers for Dense Prediction},
+  title     = {Vision Transformers for Dense Prediction},
-	journal   = {ICCV},
+  journal   = {ICCV},
-	year      = {2021},
+  year      = {2021},
 }
 ```