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[POT] Updated Simplified mode documentation (#14545)

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* [POT] Added image generation doc for Simplified mode

* Fix comments

* Remove version
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Liubov Talamanova 2022-12-19 09:26:35 +00:00 committed by GitHub
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@ -8,7 +8,30 @@ Simplified mode is designed to make data preparation for the model optimization
## Usage
To use the Simplified mode, prepare the data and place it in a separate folder. No other files should be present in this folder. There are two options to run POT in the Simplified mode:
To use the Simplified mode, prepare the data and place it in a separate folder. No other files should be present in this folder.
To apply optimization when there is only a model and no data is available. It is possible to generate a synthetic dataset using Dataset Management Framework (Datumaro) available on [GitHub](https://github.com/openvinotoolkit/datumaro). Currently, data generation is available only for Computer Vision models, it can take time in some cases.
Install Datumaro:
``` bash
pip install datumaro
```
Create a synthetic dataset with elements of the specified type and shape, and save it to the provided directory.
Usage:
``` bash
datum generate [-h] -o OUTPUT_DIR -k COUNT --shape SHAPE [SHAPE ...]
[-t {image}] [--overwrite] [--model-dir MODEL_PATH]
```
Example of generating 300 images with height = 224 and width = 256 and saving them in the `./dataset` directory.
```bash
datum generate -o ./dataset -k 300 --shape 224 256
```
After that, `OUTPUT_DIR` can be provided to `--data-source` CLI option or to `data_source` config parameter.
There are two options to run POT in the Simplified mode:
* Using command-line options only. Here is an example for 8-bit quantization: