Implemented Image Processing and Visualization Techniques

• Day: 2026-02-14
• Time: 03:30 to 03:40
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Image Processing, Python, PIL, Matplotlib, Photo Editing

Description

Session Goal

The goal of this session was to implement and explore various image processing and visualization techniques using Python libraries.

Key Activities

• Image Loading and Size Retrieval: Utilized the Python Imaging Library (PIL) to load images and extract their dimensions from given file paths.
• Image Display: Used Matplotlib to display images in a 2x3 grid, enhancing understanding of [[data visualization]] techniques.
• Photography Feedback: Provided detailed feedback on portrait photography, focusing on framing and portrait mode usage.
• Photo Editing Workflow: Developed a workflow for photo editing in Google Photos, emphasizing grading, consistency, and cropping rules.

Achievements

• Successfully loaded and retrieved image sizes using PIL.
• Displayed images effectively using Matplotlib.
• Offered actionable feedback for improving portrait photography.
• Established a structured workflow for photo editing in Google Photos.

Pending Tasks

• Further exploration of advanced image processing techniques and their applications in different domains.

Evidence

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• event_ids: []