CognexNativePy 1.0.4

A Python library for communicating with Cognex In-Sight vision systems. Wrapper of the native commands

📷 🐍 CognexNativePy 🐍 📷

CognexNativePy is a Python wrapper for the Cognex native mode commands. It provides a simple and intuitive wrapper to interact with Cognex cameras. It's based on the Cognex native mode commands, which can be found in Cognex Documentation Website.

Table of Contents 📜

• 📷 🐍 CognexNativePy 🐍 📷
  • Table of Contents 📜
  • Installation 🚀
    • Using pip 🐍
    • Manual Installation 📦
  • Usage 📚
  • Contributing 🤝
  • License 📝

Installation 🚀

Using pip 🐍

To install the library using pip, run the following command:

pip install CognexNativePy

Manual Installation 📦

To use this library in your project, first download the repository and place the CognexNativePy folder in your project's directory. You can then import the NativeInterface class from this library to interact with the Cognex camera. See Usage section for an example.

Usage 📚

The NativeInterface class provides four categories of commands: exectution_and_online, file_and_job, image, and settings_and_cell_value. Each category corresponds to a set of related commands as documented in the Cognex Documentation Website.

Each command category is an attribute of the NativeInterface class, allowing you to easily access and execute the commands you need for your specific use case.

Example of how to use the wrapper:

from CognexNativePy import NativeInterface


def main():
    try:
        # Create a socket connection to the Cognex In-Sight vision system and log in
        native_interface = NativeInterface('192.168.56.1', 'admin', '')
        execution_and_online = native_interface.execution_and_online
        file_and_job = native_interface.file_and_job
        image = native_interface.image
        settings_and_cells_values = native_interface.settings_and_cells_values

        # Load the job if it is not already loaded
        job_name = "1myJob.job"
        if file_and_job.get_file() != job_name:
            if execution_and_online.get_online() == 1:
                execution_and_online.set_online(0)
            file_and_job.load_file(job_name)

        # Get the last image from the camera and save it as a BMP file
        with open('image.bmp', 'wb') as f:
            f.write(image.read_image()["data"])

        # Get the value of the cell B010 (spreadsheet view)
        print(settings_and_cells_values.get_value("B", 10))
        # Set the value of the cell D019 (spreadsheet view) to 53
        settings_and_cells_values.set_integer_value("D", 19, 53)
        # Set the value of the symbolic tag "Pattern_1.Horizontal_Offset" to 69.3 (EasyBuilder view)
        settings_and_cells_values.set_float_value("Pattern_1.Horizontal_Offset", 69.3)
        # Get the information of the settings and cells values
        print(settings_and_cells_values.get_info())

        # Close the socket connection
        native_interface.close()

    except Exception as e:
        print(f"Error: {e}")


if __name__ == '__main__':
    main()

Contributing 🤝

If you'd like to contribute, please fork the repository and use a feature branch. Pull requests are warmly welcome.

License 📝