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Dpi Upscaler Checker

Name: Dpi Upscaler Checker
Author: aipoch-ai

作者 AIpoch · GitHub ↗ · v0.1.0 · MIT-0

cross-platform ⚠ suspicious

213

总下载

当前安装

版本数

在 OpenClaw 中安装

/install dpi-upscaler-checker

功能描述

Check image DPI and intelligently upscale low-resolution images using super-resolution

使用说明 (SKILL.md)

DPI Upscaler & Checker

Check if images meet 300 DPI printing standards, and intelligently restore blurry low-resolution images using AI super-resolution technology.

Features

DPI Detection: Read and verify image DPI information
Intelligent Analysis: Calculate actual print size and pixel density
Super-Resolution Restoration: Use Real-ESRGAN algorithm to enhance image clarity
Batch Processing: Support single image and batch folder processing
Format Support: JPG, PNG, TIFF, BMP, WebP

Use Cases

Academic paper figure DPI checking
Print image quality pre-inspection
Low-resolution material restoration
Document scan enhancement

Usage

Check Single Image DPI

python scripts/main.py check --input image.jpg

Batch Check Folder

python scripts/main.py check --input ./images/ --output report.json

Super-Resolution Restoration

python scripts/main.py upscale --input image.jpg --output upscaled.jpg --scale 4

Batch Fix Low DPI Images

python scripts/main.py upscale --input ./images/ --output ./output/ --min-dpi 300 --scale 2

Parameters

Check Command

Parameter	Type	Default	Required	Description
`--input`	string	-	Yes	Input image path or folder
`--output`	string	stdout	No	Output report path
`--target-dpi`	int	300	No	Target DPI threshold

Upscale Command

Parameter	Type	Default	Required	Description
`--input`	string	-	Yes	Input image path or folder
`--output`	string	-	Yes	Output path
`--scale`	int	2	No	Scale factor (2/3/4)
`--min-dpi`	int	-	No	Only process images below this DPI
`--denoise`	int	0	No	Denoise level (0-3)
`--face-enhance`	flag	false	No	Enable face enhancement

Output Description

DPI Check Report

{
  "file": "image.jpg",
  "dpi": [72, 72],
  "width_px": 1920,
  "height_px": 1080,
  "print_width_cm": 67.7,
  "print_height_cm": 38.1,
  "meets_300dpi": false,
  "recommended_scale": 4.17
}

Restored Image

Automatically saved as \x3Coriginal_filename>_upscaled.\x3Cextension>
Preserves original EXIF information
Sets DPI to 300

Dependencies

Python >= 3.8
Pillow >= 9.0.0
opencv-python >= 4.5.0
numpy >= 1.21.0
realesrgan (optional, for best results)

Algorithm Description

DPI Calculation

Actual DPI = Pixel dimensions / Physical dimensions
Print size (cm) = Pixel count / DPI * 2.54

Super-Resolution

Default use of Real-ESRGAN model
Support lightweight bicubic interpolation fallback
Intelligent model selection (general/anime/face)

Notes

Input image DPI information may be inaccurate; actual pixel calculation shall prevail
Super-resolution cannot create non-existent information; extremely blurry images have limited improvement
Large file processing requires more memory
GPU acceleration requires CUDA environment (optional)

Risk Assessment

Risk Indicator	Assessment	Level
Code Execution	Python/R scripts executed locally	Medium
Network Access	No external API calls	Low
File System Access	Read input files, write output files	Medium
Instruction Tampering	Standard prompt guidelines	Low
Data Exposure	Output files saved to workspace	Low

Security Checklist

No hardcoded credentials or API keys
No unauthorized file system access (../)
Output does not expose sensitive information
Prompt injection protections in place
Input file paths validated (no ../ traversal)
Output directory restricted to workspace
Script execution in sandboxed environment
Error messages sanitized (no stack traces exposed)
Dependencies audited

Prerequisites

# Python dependencies
pip install -r requirements.txt

Evaluation Criteria

Success Metrics

Successfully executes main functionality
Output meets quality standards
Handles edge cases gracefully
Performance is acceptable

Test Cases

Basic Functionality: Standard input → Expected output
Edge Case: Invalid input → Graceful error handling
Performance: Large dataset → Acceptable processing time

Lifecycle Status

Current Stage: Draft
Next Review Date: 2026-03-06
Known Issues: None
Planned Improvements:
- Performance optimization
- Additional feature support

安全使用建议

This skill appears to implement DPI checks and local upscaling, but before installing or running it consider the following: - EXIF claim mismatch: The README says it preserves EXIF, but the visible code saves images without re-attaching EXIF data. If preserving metadata matters, inspect/modify the script to pass exif=img.info.get('exif') when saving. - Path safety: The script will recurse and read any files under the supplied input path and write to the supplied output path. Provide explicit, sandboxed input/output directories and avoid running against system or home directories. Test on sample data first. - Model files: The code references optional model files (Real-ESRGAN, EDSR .pb). There is no automatic download—obtain trusted model binaries separately and verify checksums. - Dependencies: requirements.txt has duplicate/incorrect entries. Install dependencies in an isolated virtualenv before running. - Truncated file / unknown remainder: The provided main.py snippet is truncated; review the complete script to ensure there are no hidden network calls, telemetry, or unexpected behavior before trusting it with important data. Best practice: run the script in a sandboxed environment (non-root user, container or VM), back up originals, and review/modify the code for EXIF and path-validation fixes if you plan to use it on sensitive files.

功能分析

Type: OpenClaw Skill Name: dpi-upscaler-checker Version: 0.1.0 The skill bundle provides a legitimate utility for checking image DPI and upscaling low-resolution images using AI models (Real-ESRGAN or OpenCV DNN). The core logic in `scripts/main.py` uses standard libraries like Pillow and NumPy to process images and includes safe path handling using `pathlib` to prevent traversal issues during batch processing. The documentation in `SKILL.md` is transparent about the tool's capabilities and risks, and no evidence of malicious intent, data exfiltration, or prompt injection was found.

能力评估

✓ Purpose & Capability

Name/description align with included code: DPIChecker and ImageUpscaler implement DPI measurement and local upscaling using PIL/OpenCV/Real-ESRGAN. No unrelated credentials, binaries, or services are requested.

⚠ Instruction Scope

SKILL.md instructs running scripts/main.py for check/upscale which reads input files and writes output files—expected for this tool. However, SKILL.md claims 'preserves original EXIF information' but the shown save() call does not pass EXIF data back into the output image (no exif=... passed), so that claim is inconsistent with code. The checklist mentions path traversal protection, but the code does not show explicit input path sanitization; it will recurse and read any files under the provided input path and write to the output path. No network endpoints or secret access are present in the visible code.

ℹ Install Mechanism

There is no install specification (instruction-only), which is lower risk. A requirements.txt is included but not automatically applied; it contains duplicate/incorrect entries (e.g., both 'pil' and 'pillow', 'cv2' and 'opencv-python'), which is sloppy but not directly malicious. The code references model files (e.g., EDSR_x{scale}.pb) and Real-ESRGAN but offers no automated download—user must supply models.

✓ Credentials

The skill requires no environment variables, no credentials, and no special system-wide config. Requested access (filesystem read/write of provided paths) is proportionate to its stated functionality.

✓ Persistence & Privilege

always is false, the skill does not request persistent agent privileges, and there's no evidence it modifies other skills or global agent settings in the visible code.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install dpi-upscaler-checker
安装完成后，直接呼叫该 Skill 的名称或使用 /dpi-upscaler-checker 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v0.1.0

Initial public release of DPI Upscaler & Checker. - Detects and verifies image DPI, including batch processing support. - Calculates print size and pixel density to assess print readiness. - Upscales low-resolution images using AI-based super-resolution (Real-ESRGAN), with optional face enhancement and denoising. - Supports multiple image formats: JPG, PNG, TIFF, BMP, WebP. - Outputs comprehensive DPI reports and saves upscaled images with preserved metadata. - Includes risk assessment, security checklist, and usage instructions.

元数据

Slug dpi-upscaler-checker

版本 0.1.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

常见问题