Implemented Image Processing Workflow in Python

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Implemented Image Processing Workflow in Python

  • Day: 2025-07-01
  • Time: 12:45 to 13:00
  • Project: Dev
  • Workspace: WP 2: Operational
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Python, Image Processing, PIL, Matplotlib

Description

Session Goal

The goal of this session was to implement and test an image processing workflow in Python using the Python Imaging Library (PIL) and Matplotlib.

Key Activities

  • Image Processing with PIL: Demonstrated the use of PIL for image manipulation and visualization, including importing necessary libraries and setting up the environment.
  • Check File Existence: Used Python’s os module to check if specified image files exist in a given directory.
  • Image Processing Loop: Created a loop to open images from specified paths and print their format, size, and mode.
  • Importing PIL Image Module: Detailed the import statement for the PIL Image module, essential for image processing tasks.
  • Displaying Images Using Matplotlib: Demonstrated how to display images using Matplotlib and PIL, with axis turned off for cleaner presentation.

Achievements

  • Successfully set up an environment for image processing with PIL and Matplotlib.
  • Implemented a complete workflow to check file existence, process images, and display them using Python.

Pending Tasks

  • Integrate the image processing workflow into a larger application or script for automated processing.
  • Explore additional image editing features using Google Photos as outlined in the improvement plan.

Evidence

  • source_file=2025-07-01.sessions.jsonl, line_number=1, event_count=0, session_id=8fe9e8c8ea1a6cee2efe0afeeeabf77b613bdc9ffb5d53985b949e6673f9169d
  • event_ids: []

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