Adding README for documentation about how to run datagen script

Author: ErickOF

tools/datagen/README.md

@@ -0,0 +1,56 @@
+# **SystemC Image Data Generation Tool for Project Testbench**
+
+This tool will help to generate the required data for the testbench. It
+generates grayscale, Sobel x, Sobel y, and combined Sobel x-y images.
+
+
+## **Installation**
+
+Before running, make sure you have installed Python OpenCV. You can run:
+```shell
+cd tools/datagen/
+chmod +x install_pyopencv.sh
+./install_pyopencv.sh
+```
+
+It will display the OpenCV version at the end of the installation.
+
+
+## **Usage**
+
+There are two versions of the script, a JupyterNotebook and a normal Python
+script. For both of them, in the main function, the variables `img_name` and
+`img_ext` must be updated. The `img_name` is only the name of the image that
+is saved in `tools/datagen/src/imgs` and the `img_ext` is the extension of the
+image. For instance:
+
+```python
+img_name: str = 'car'
+img_ext: str = 'jpg
+```
+
+will load `tools/datagen/src/imgs/car.jpg` image and generate:
+
+* tools/datagen/src/imgs/car\_grayscale\_image.jpg
+* tools/datagen/src/imgs/car\_sobel\_combined\_result.jpg
+* tools/datagen/src/imgs/car\_sobel\_x\_result.jpg
+* tools/datagen/src/imgs/car\_sobel\_y\_result.jpg
+
+These generated images are ignored and must not be committed to the repository.
+
+
+### **Python Script**
+
+To run the Python script:
+
+```shell
+cd tools/datagen/
+python3 datagen.py
+```
+
+
+### **JupyterNotebook**
+
+You can open the file from the JupyterNotebook app or upload it to
+[Google Colab](https://colab.research.google.com/).
+