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image_size_filter

Filter images by file size within specified byte limits.

541|171|Updated May 3, 2018
Search Tags:#image#data management#filtering#image processing#file size
One-click install
npx skills add https://github.com/cas-bigdatalab/piflow --skill image-size-filter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: image_size_filter
Source: https://github.com/cas-bigdatalab/piflow/tree/main/workspace/skills/image_size_filter
Command: npx skills add https://github.com/cas-bigdatalab/piflow --skill image-size-filter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires py-data-juicer, and includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of efficiently filtering images by their file size, allowing users to retain only the data samples that meet their specific size criteria.

Core Features & Use Cases

  • Image Size Filtering: Retain images that fall within a defined size range, ensuring that only relevant data is kept.
  • Customizable Size Range: Users can specify minimum and maximum file sizes in various formats (e.g., KB, MB, GB).
  • Flexible Filtering Strategy: Choose between 'any' or 'all' to determine if any or all images must meet the size criteria.
  • Use Case: For data analysis involving large image datasets where only a subset meets specific size requirements.

Quick Start

Apply the image_size_filter skill to filter images smaller than 100KB and larger than 50MB from the dataset.

Frequently Asked Questions about image_size_filter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I filter images in a large dataset by file size?▼

To filter images by file size, you can specify minimum and maximum byte limits to retain only the data samples that fall within your defined size range. This ensures only relevant image data is kept.

Can I use KB and MB to set the file size range for image filtering?▼

Yes, you can set the file size range for image filtering using various formats including KB, MB, and GB. This allows you to customize the exact byte limits for your image data management.

What is the best way to remove very small or very large images from an image dataset?▼

The best way to remove outlying images is to apply a size filter with specific minimum and maximum file size constraints. This retains only the relevant samples that meet your specific size criteria.

Does the image file size filter support applying criteria to multiple images per sample?▼

Yes, the image file size filter supports a flexible filtering strategy where you can choose between 'any' or 'all' to determine if any or all images within a sample must meet the specified size criteria.

Do I need py-data-juicer to run the image size filtering script?▼

Yes, py-data-juicer is a required dependency to run this image size filtering script. It provides the underlying data processing environment needed to execute the filtering operations on your image collections.

Why would I need to filter image data by file size constraints?▼

Filtering image data by file size constraints is necessary for data analysis tasks where only a subset of a large image collection meets specific size requirements, optimizing dataset management and processing efficiency.

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