Developed Mosaic Visualization with Google Maps API

• Day: 2023-08-21
• Time: 22:00 to 22:25
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Google Maps Api, Image Processing, Visualization, Python, Matplotlib

Description

Session Goal

The session aimed to develop a method for creating high-resolution A0 poster mosaics using Google Maps API, focusing on image retrieval and visualization techniques.

Key Activities

• Explored the use of Google Maps API to obtain high-resolution satellite images suitable for printing large posters.
• Designed the planificar_mosaico function to divide an A0 poster into smaller A4 sections and calculate coordinates for each section.
• Developed visualization techniques using [[matplotlib]] to represent the poster layout with subplots, initially using placeholder images.
• Integrated the get_image_with_timeout function for fetching actual images, although limited by the lack of internet access in the current environment.
• Addressed code corrections, including missing imports for [[matplotlib]].pyplot and threading module.
• Discussed error handling related to API limitations and proposed DPI adjustments for print quality.

Achievements

• Successfully designed the mosaic layout and visualization framework using Python and [[matplotlib]].
• Implemented initial function designs for image retrieval and mosaic assembly.

Pending Tasks

• Implement the get_maps_image function in an internet-enabled environment to complete the image retrieval process.
• Finalize the integration of actual images into the mosaic visualization.
• Test and refine the DPI adjustments for optimal print quality.

Evidence

• source_file=2023-08-21.sessions.jsonl, line_number=1, event_count=0, session_id=5886fa83bea0963aff74d43bb1dc3bb04aa6a96364c84c4728eb12cfc869a88a
• event_ids: []