Update common_deploy and the main README.md file, and rename Colab notebook.

Signed-off-by: khaoula boutiche <[email protected]>

Author: KBOUSTM

README.md

@@ -155,22 +155,12 @@ on [How to install STM32 model zoo](https://wiki.st.com/stm32mcu/index.php?title
 In [tutorials/notebooks](tutorials/notebooks/README.md) you will find a jupyter notebook that can be easily deployed on
 Colab to exercise STM32 model zoo training scripts.
 
-## Notes
-
-In this project, we are using **TensorFLow version 2.8.3** following unresolved issues with newest versions of
-TensorFlow, see [more](https://github.com/tensorflow/tensorflow/issues/56242).
-
-**Warnings** :
-
-* In this project we are using the `mlflow` library to log the results of different runs. Depending on which version of
-  Windows OS are you using or where you place the project the output log files might have a very long path which might
-  result in an error at the time of logging the results. As by default, Windows uses a path length limitation (MAX_PATH)
-  of 256 characters: Naming Files, Paths, and Namespaces. To avoid this potential error, create (or edit) a variable
-  named `LongPathsEnabled` in **Registry Editor**
-  under `Computer\HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\FileSystem\` and assign it a value of `1`. This
-  will change the maximum length allowed for the file length on Windows machines and will avoid any errors resulting due
-  to this. For more details have a look at
-  this [link](https://knowledge.autodesk.com/support/autocad/learn-explore/caas/sfdcarticles/sfdcarticles/The-Windows-10-default-path-length-limitation-MAX-PATH-is-256-characters.html)
-  .
-* If there are some white spaces in the paths (for Python, STM32CubeIDE, or, STM32Cube.AI local installation) this can
-  result in errors. So avoid having paths with white spaces in them.
+
+> [!IMPORTANT]
+> In this project, we are using **TensorFLow version 2.8.3** following unresolved issues with newest versions of TensorFlow, see [more](https://github.com/tensorflow/tensorflow/issues/56242).
+
+>[!CAUTION]
+> If there are some white spaces in the paths (for Python, STM32CubeIDE, or, STM32Cube.AI local installation) this can result in errors. So avoid having paths with white spaces in them.
+
+>[!TIP]
+> In this project we are using the `mlflow` library to log the results of different runs. Depending on which version of Windows OS are you using or where you place the project the output log files might have a very long path which might result in an error at the time of logging the results. As by default, Windows uses a path length limitation (MAX_PATH) of 256 characters: Naming Files, Paths, and Namespaces. To avoid this potential error, create (or edit) a variable named `LongPathsEnabled` in **Registry Editor** under **Computer/HKEY_LOCAL_MACHINE/SYSTEM/CurrentControlSet/Control/FileSystem/** and assign it a value of `1`. This will change the maximum length allowed for the file length on Windows machines and will avoid any errors resulting due to this. For more details have a look at this [link](https://knowledge.autodesk.com/support/autocad/learn-explore/caas/sfdcarticles/sfdcarticles/The-Windows-10-default-path-length-limitation-MAX-PATH-is-256-characters.html).

common/common_deploy.py

@@ -279,8 +279,8 @@ def stmaic_local_call(session):
                 # Get footprints of the given model
                 results = cloud_analyze(ai=ai, model_path=model_path, optimization=optimization,
                                 get_model_name_output=get_model_name_output)
-                needed_ram = round(int(results["ram_size"]) / 1024, 2)
-                needed_rom = round(int(results["rom_size"]) / 1024, 2)
+                needed_ram = int(results["ram_size"])
+                needed_rom = int(results["rom_size"])
 
                 with open(os.path.join(board.config.memory_pool_path), 'r') as f:
                     memory_pool = json.load(f)