From eb90272331508d3a1f1803a65a9161225e3835bf Mon Sep 17 00:00:00 2001
From: Milana Shhanukova <milana.shhanukova@intel.com>
Date: Wed, 22 Dec 2021 17:45:37 +0400
Subject: [PATCH] [POT] Remove gitlab mention (#9079)

* change in installation

* develop mode

* change in install guide

* style change

* change declare
---
 tools/pot/README_dev.md | 23 +++++++++++------------
 1 file changed, 11 insertions(+), 12 deletions(-)

diff --git a/tools/pot/README_dev.md b/tools/pot/README_dev.md
index f8b849181ad..df92dff54da 100644
--- a/tools/pot/README_dev.md
+++ b/tools/pot/README_dev.md
@@ -24,23 +24,22 @@ Post-Training Optimization Tool includes standalone command-line tool and Python
 - OpenVINO
 
 ### Installation (Temporary)
-1) Clone compression tool repo: `git clone git@gitlab-icv.inn.intel.com:algo/post-training-compression-tool.git`
+1) Clone DLDT repo: `git clone https://github.com/openvinotoolkit/openvino`
 2) Download submodules:
    ```
    git submodule init
    git submodule update
    ```
-3) Clone DLDT repo: `git clone https://github.com/openvinotoolkit/openvino` (Not into the post-training-compression-tool)
-4) Switch dldt to required branch: `feature/low_precision/develop_fp_v10`
-5) Build inference engine (Instruction can be found in dldt repo)
-6) Switch dldt to _mkaglins/poc_ branch (Inference engine is built from _feature/low_precision/develop_fp_v10_ branch to support `FakeQuantize` layers. ModelOptimizer is used from _mkaglins/poc_ branch. So stay on _mkaglins/poc_ branch as you've built IE and don't build it from there again)
-7) Set _PYTHONPATH_ variable: `export PYTHONPATH=<path to DLDT bins>/bin/intel64/Release/lib/python_api/python3.6:<path to DLDT>/dldt/model-optimizer`
-8) Install requirements for accuracy checker:
+3) Setup Model Optimizer. 
+    You can setup Model Optimizer that needs for POT purposed with the two ways:
+    1. Install Model Optimizer with pip using "python setup.py install" at the mo folder (`<openvino_path>/tools/mo/setup.py`)
+    2. Setup Model Optimizer for Python using PYTHONPATH environment variable. Add the the following `<openvino_path>/tools/mo` into PYTHONPATH.
+4) Install requirements for accuracy checker:
     - From POT root: `cd ./thirdparty/open_model_zoo/tools/accuracy_checker`
     - Call setup script: `python3 setup.py install`
     - Get back to root POT dir: `cd <PATH_TO_POT_DIR>`
-9) Install requirements for the tool:
-    - Call setup script: `python3 setup.py install`
+5) Install requirements for the tool:
+    - Call setup script: `python3 setup.py develop`
 
 ### Run
 1) Prepare configuration file for the tool based on the examples in the `configs` folder
@@ -48,7 +47,7 @@ Post-Training Optimization Tool includes standalone command-line tool and Python
 3) Launch the tool running the following command:
     `python3 main.py -c <path to config file> -e`
 
-To test the tool you can use PyTorch Mobilenet_v2 model from `tests/data/models/mobilenetv2/mobilenetv2.onnx`
+To test the tool you can use PyTorch Mobilenet_v2 model from `tests/data/models/mobilenetv2_example/mobilenetv2_example.onnx`
 
- - If there're some errors with imports in ModelOptimizer first of all make the following steps:
-    - Checkout _mkaglins/poc_ branch in DLDT (It's important!)
+- If there're some errors with imports in ModelOptimizer, first of all make the following steps:
+    - If you've installed ModelOptimizer with setting _PYTHONPATH_ variable, checkout the path. It should be as following `<openvino_path>/tools/mo.` The whole command can be found in step 3 Installation (Temporary) guide above.