image_aesthetics_filter
OfficialFilter and select images based on aesthetic quality scores.
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill solves the problem of efficiently filtering and selecting images based on aesthetic quality scores, eliminating the need for manual review and assessment.
Core Features & Use Cases
- Automated Image Filtering: Filter images based on specified aesthetic quality scores using a pre-trained model.
- Use Case: When you need to automatically filter out images that do not meet certain aesthetic standards from a large dataset for tasks like content moderation or data analysis.
Quick Start
Apply the image_aesthetics_filter skill to the directory of images, and output the filtered images to the 'output_directory'.
Dependency Matrix
Required Modules
py-data-juicertorchtorchvision
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: image_aesthetics_filter Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#image-aesthetics-filter Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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