Developed Python workflows for image processing

• Day: 2026-02-14
• Time: 00:45 to 00:50
• Project: Dev
• Workspace: WP 2: Operational
• Status: Completed
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Python, Image Processing, Dataframe, Automation

Description

Session Goal

The session aimed to develop and refine Python workflows for efficient image processing and management.

Key Activities

• Implemented Python code to retrieve file paths from directories, focusing on file management and image processing.
• Developed workflows for referencing images by filenames for feedback, addressing UI visibility issues.
• Created scripts to check file existence, retrieve, and sort image paths using libraries like glob, os, and PIL.
• Calculated image quality metrics using OpenCV and pandas, and applied scoring functions to DataFrames.
• Sorted DataFrames by score to extract top image paths and created montages from selected images.

Achievements

• Successfully implemented and tested multiple Python scripts for image path retrieval and quality assessment.
• Developed a function to create image montages, enhancing visual presentation of image selections.

Pending Tasks

• Further refine image scoring criteria and explore additional quality metrics for more comprehensive analysis.

Evidence

• source_file=2026-02-14.sessions.jsonl, line_number=9, event_count=0, session_id=c39b04229b260f42f74e443b5d533f78cc942df5e05b73586110e990356ca401
• event_ids: []