ImageDev Python

Prerequisites

ImageDev requires a 64-bit Python distribution.

• On Windows: Python 3.8, 3.9, 3.10 or 3.11.
• On Linux: Python 3.8, 3.9, 3.10 or 3.11.

Installation

To use ImageDev Python from an available package archive, you need to:

• Download the ImageDevPython and ImageDevExamplesPython package archives.
• Unzip these archives in a folder.
• Open a terminal window and execute the following command lines:

pip install path_to_unzipped_ImageDev/pip/iolink_wheel_name.whl
pip install path_to_unzipped_ImageDev/pip/imagedev_wheel_name.whl

Where:

• path_to_unzipped_ImageDev is the path to the unzipped ImageDevPython folder
• iolink_wheel_name is the name of the wheel file for the IOLink package
• imagedev_wheel_name is the name of the wheel file for the ImageDev package

To load images you could use IOFormat. To install it, type in a terminal:

pip install path_to_unzipped_ImageDevExamples/pip/ioformat_wheel_name.whl 

Where:

• path_to_unzipped_ImageDevExamples is the path to the unzipped ImageDevExamplesPython folder
• ioformat_wheel_name is the name of the wheel file for the IOFormat package

To display images with the imshow method of ImageDev, you need to install Matplotlib. Type in a terminal:

pip install matplotlib 

Hello ImageDev Python

In order to run examples, you must install the imagedev data package.
Open a terminal window and type:

pip install path_to_unzipped_ImageDevExamples/pip/imagedev_data_wheel_name.whl

Where:

• path_to_unzipped_ImageDevDExample is the path to the unzipped ImageDevExamplesPython folder
• imagedev_data_wheel_name is the name of the wheel file for the ImageDev-Data package

This package contains the following helper functions:

data_repository() # Return the full path of the folder containing the data of the package
get_image_path(image_relative_path) # Return the full path of an image of the package
get_object_path(object_relative_path) # Return the full path of an object of the package 

You are now ready to write your first ImageDev code with your favorite IDE or directly in a Python console. For instance, by copying and pasting the content of the Python example available at the end of the HelloImageDev tutorial page.

You can now run this code and compare the resulting images with those shown in the HelloImageDev tutorial.