Merge Back Hot-Fix into develop (#3682)

* [hotfix] Update for fix workflow issues (#3668)

* Update README & CODEOWNERS (#3659)

* Update Engine's docstring & CLI --help outputs (#3658)

Update Engine's CLI docstring & HelpFormatter

* Fix unit test for semantic segmentation to run it without mmseg (#3670)

fix test to run wo mm

* Enable ruff & ruff-format into otx/algo/classification/backbones (#3667)

* Enable ruff in otx.algo.classification.backbones

* Fix unit-test

* Fix docstring

* Disable integration test in pr-merge workflow (#3677)

* Add TV MaskRCNN Tile Recipe (#3655)

* add tv maskrcnn recipe

* add unit test

* add tile size

* fix bug

* Align integration test to exportable code interface update for release branch (#3676)

* align integration test to exportable code update

* add error message

* align vp expected output name

* Refactor exporter for anomaly task and fix a bug with exportable code (#3672)

* refactor exporter

* remove *to

* reply comments

* resolve problem with local temp file

* Fix NNCF MaskRCNN-Eff accuracy drop (#3680)

* fix nncf maskrcnn eff accuracy drop

* update ignored scope

* fix typo

* Update pandas version constraint (#3679)

---------

Co-authored-by: Yunchu Lee <yunchu.lee@intel.com>
Co-authored-by: Prokofiev Kirill <kirill.prokofiev@intel.com>
Co-authored-by: Eugene Liu <eugene.liu@intel.com>
Co-authored-by: Eunwoo Shin <eunwoo.shin@intel.com>

Author: 5 people

.github/CODEOWNERS

@@ -1,4 +1,4 @@
 # See help here: https://help.github.com/en/github/creating-cloning-and-archiving-repositories/about-code-owners
 
 # These owners will be the default owners for everything in the repo.
-* @samet-akcay @harimkang @vinnamkim @jaegukhyun @eugene123tw @kprokofi @chuneuny-emily @sovrasov @sungchul2 @GalyaZalesskaya @negvet @goodsong81 @yunchu @wonjuleee @eunwoosh
+* @samet-akcay @harimkang @vinnamkim @eugene123tw @kprokofi @chuneuny-emily @sovrasov @sungchul2 @GalyaZalesskaya @negvet @goodsong81 @yunchu @wonjuleee @eunwoosh

README.md

@@ -80,23 +80,13 @@ If you want to make changes to the library, then a local installation is recomme
 Installing the library with pip is the easiest way to get started with otx.
 
 ```bash
-pip install otx
+pip install otx[base]
 ```
 
-This will install OTX CLI. OTX requires torch and lightning by default to provide training. To use the full pipeline, you need the commands below:
+Alternatively, for zsh users:
 
 ```bash
-# Get help for the installation arguments
-otx install -h
-
-# Install the full package
-otx install
-
-# Install with verbose output
-otx install -v
-
-# Install with docs option only.
-otx install --option docs
+pip install 'otx[base]'
 ```
 
 </details>
@@ -117,23 +107,7 @@ conda activate otx_env
 # Clone the repository and install in editable mode
 git clone https://github.com/openvinotoolkit/training_extensions.git
 cd training_extensions
-pip install -e .
-```
-
-This will install OTX CLI. OTX requires torch and lightning by default to provide training. To use the full pipeline, you need the commands below:
-
-```bash
-# Get help for the installation arguments
-otx install -h
-
-# Install the full package
-otx install
-
-# Install with verbose output
-otx install -v
-
-# Install with docs option only.
-otx install --option docs
+pip install -e .[base]  # for zsh: pip install -e '.[base]'
 ```
 
 </details>
@@ -152,6 +126,10 @@ otx --help
 
 # Print help messages from the train subcommand
 otx train --help
+
+# Print help messages for more details
+otx train --help -v   # Print required parameters
+otx train --help -vv  # Print all configurable parameters
 ```
 
 You can find details with examples in the [CLI Guide](https://openvinotoolkit.github.io/training_extensions/latest/guide/get_started/cli_commands.html). and [API Quick-Guide](https://openvinotoolkit.github.io/training_extensions/latest/guide/get_started/api_tutorial.html).
@@ -190,6 +168,10 @@ In addition to the examples above, please refer to the documentation for tutoria
 
 ## Updates
 
+### v2.1.0 (2Q24)
+
+TBD
+
 ### v2.0.0 (1Q24)
 
 ### New features

pyproject.toml

@@ -123,7 +123,7 @@ ci_publish = [
 ]
 
 ci_benchmark = [
-    "pandas==2.2.2",
+    "pandas<2.2",       # To avoid conflict with nncf==2.9.0
     "matplotlib==3.8.4",
     "nbconvert==7.16.3",
     "ipython==8.23.0",
@@ -318,7 +318,6 @@ exclude = [
     "src/otx/algo/**/mmdeploy/",
 
     # it will be cleaned up later
-    "src/otx/algo/classification/backbones/*",
     "for_developers/helpers.py",
 
     # Ruff complains it but don't know how to fix since it literally showed no useful logs.

src/otx/algo/classification/backbones/__init__.py

@@ -4,8 +4,8 @@
 """Backbone modules for OTX custom model."""
 
 from .efficientnet import OTXEfficientNet
-from .timm import TimmBackbone
 from .mobilenet_v3 import OTXMobileNetV3
+from .timm import TimmBackbone
 from .vision_transformer import VisionTransformer
 
 __all__ = ["OTXEfficientNet", "TimmBackbone", "OTXMobileNetV3", "VisionTransformer"]