Delete rejected models and OTX install (#4247)

* delete rejected models and OTX install

* remove test config

* remove docs, clean pyproject.toml, change ChangeLog

Author: kprokofi

CHANGELOG.md

@@ -25,6 +25,10 @@ All notable changes to this project will be documented in this file.
   (<https://github.com/openvinotoolkit/training_extensions/pull/4208>)
 - Remove Zero Shot Visual Prompting
   (<https://github.com/openvinotoolkit/training_extensions/pull/4209>)
+- Remove Semi-SL algorithm, unlabeled dataset, MMCV transforms
+  (<https://github.com/openvinotoolkit/training_extensions/pull/4227>)
+- Remove MaskDino, YOLOV9, HuggingFace wrappers, OTX install, mmcv tools
+  (<https://github.com/openvinotoolkit/training_extensions/pull/4247>)
 
 ## \[2.3.0\]
 

docs/source/guide/get_started/cli_commands.rst

@@ -27,7 +27,7 @@ Help
 
     (otx) ...$ otx --help
     ╭─ Arguments ─────────────────────────────────────────────────────────────────────────────────────────────────────╮
-    │ Usage: otx [-h] [-v] {install,find,train,test,predict,export,optimize,explain} ...                              │
+    │ Usage: otx [-h] [-v] {find,train,test,predict,export,optimize,explain} ...                              │
     │                                                                                                                 │
     │                                                                                                                 │
     │ OpenVINO Training-Extension command line tool                                                                   │
@@ -42,7 +42,6 @@ Help
     │                                                                                                                 │
     │                                                                                                                 │
     │   Available subcommands:                                                                                        │
-    │     install             Install OTX requirements.                                                               │
     │     find                This shows the model provided by OTX.                                                   │
     │     train               Trains the model using the provided LightningModule and OTXDataModule.                  │
     │     test                Run the testing phase of the engine.                                                    │
@@ -54,11 +53,6 @@ Help
     │                                                                                                                 │
     ╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
 
-.. note::
-
-    After installing the package, if torch is not installed properly, this will only show the ``install`` subcommand. You can refer to this :doc:`installation section <installation>`.
-
-
 The subcommand can get help output in the following way.
 For basic subcommand help, the Verbosity Level is 0. In this case, the CLI provides a Quick-Guide in markdown.
 

docs/source/guide/get_started/installation.rst

@@ -40,39 +40,14 @@ package:
             python -m venv .otx
             source .otx/bin/activate
 
-            pip install -e .
+            pip install -e .[base]
 
-2. Install PyTorch & Requirements for training
-according to your system environment.
-
-.. tab-set::
-
-    .. tab-item:: Minimum requirements
-
-        .. code-block:: shell
-
-            pip install '.[base]'
-
-        .. note::
-
-            Models from mmlab are not available for this environment. If you want to use mmlab models, you must install them with Full Requirements.
-            Also, some tasks may not be supported by minimum requirements.
-
-    .. tab-item:: Full Requirements
-
-        .. code-block:: shell
-
-            otx install -v --option full
-
-[Optional] Refer to the `torch official installation guide <https://pytorch.org/get-started/previous-versions/>`_
-
-.. note::
-
-    Currently, only torch==2.2 was fully validated. (older versions are not supported due to security issues).
+2. Once the package is installed in the virtual environment, you can use full
+OpenVINO™ Training Extensions command line functionality.
 
+.. code-block:: shell
 
-3. Once the package is installed in the virtual environment, you can use full
-OpenVINO™ Training Extensions command line functionality.
+    otx --help
 
 *************************************************************
 Install OpenVINO™ Training Extensions for users (XPU devices)
@@ -81,17 +56,13 @@ Install OpenVINO™ Training Extensions for users (XPU devices)
 1. Install OpenVINO™ Training Extensions
 from source to use XPU functionality.
 
-.. tab-set::
-
-    .. tab-item:: Minimum requirements
-
-        .. code-block:: shell
+.. code-block:: shell
 
-            # Clone the training_extensions repository with the following command:
-            git clone https://github.com/openvinotoolkit/training_extensions.git
-            cd training_extensions
+    # Clone the training_extensions repository with the following command:
+    git clone https://github.com/openvinotoolkit/training_extensions.git
+    cd training_extensions
 
-            pip install -e '.[base]' --extra-index-url https://download.pytorch.org/whl/test/xpu
+    pip install -e '.[base]' --extra-index-url https://download.pytorch.org/whl/test/xpu
 
 .. note::
 
@@ -159,7 +130,7 @@ would be used to setup them.
 
 .. code-block:: shell
 
-    $ otx install --option dev
+    $ pip install -e '.[dev]'
     $ pytest tests/
 
 Another option to run the tests is using the testing automation tool `tox <https://tox.wiki/en/latest/index.html>`_. Following commands will install