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DSH Vision Toolkit

DeepSeek Harness-native vision toolkit enabling image Q&A, OCR, UI restoration, grounding, and pixel diff for text-only models.

VisionDeveloper Tools
906GitHub Stars46ForksUpdated2026-10-23

Install

$ dsh plugin --profile web add @anionex/dsh-vision-toolkit

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
DSH Vision Toolkit provides native visual processing capabilities for DeepSeek Harness. It allows text-only LLMs to inspect images, extract coordinates, execute long-screenshot OCR, trace vectors, remove backgrounds, diff pixel renderings, and reconstruct UI designs. It includes transparent variant routing for pasted images in DSH Web and manages local runtime execution via isolated Python environments.

Key Capabilities

  • Image Q&A and focused intent inspection (vision_glance)
  • Pixel-exact object grounding and bounding box detection (vision_ground, vision_detect)
  • Local image cropping and vector tracing to SVG (vision_crop, vision_trace)
  • Pixel diff comparison with heatmap rendering for UI verification (vision_pixel_diff)
  • Long-screenshot parsing with duplicate overlap detection and OCR (vision_long_screenshot_ocr)
  • Foreground extraction and dominant color palette analysis (vision_extract_foreground, vision_dominant_colors)
  • Local HTML page rendering and full-page screenshot capture via headless browser (vision_html_screenshot)
  • Transparent variant routing for pasted images in DSH Web
  • Bundled vision-skills SOP playbooks for automated multi-step visual tasks

Useful For

  • Rebuilding front-end UI and web components from screenshots or hand-drawn sketches
  • Extracting chat history and text from long scrolling screenshots
  • Extracting logos and visual assets into transparent PNGs or editable SVGs
  • Performing GUI automation and visual testing via pixel difference auditing
  • Pasting images directly into text-only DSH models for immediate contextual Q&A

Who It Fits

  • Frontend developers and UI/UX designers automating page reconstruction
  • DeepSeek Harness users needing multimodal capabilities with text-only LLMs
  • QA engineers conducting visual regression tests on rendered interfaces
  • Developers working with screenshots, diagrams, and graphic assets

Documented Limitations

  • Requires a separate vision-capable upstream API endpoint (OpenAI Chat Completions, Responses, or Anthropic Messages format)
  • Configured shared storage roots are unsupported on Windows due to ACL validation limitations
  • HTML screenshot rendering requires a locally installed Chrome, Chromium, or Edge browser
  • First run requires internet access to initialize the isolated Python runtime and PyPI wheels if system Python 3.11+ is absent

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 4 runtime, 16 development, 22 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
Anionex/dsh-vision-toolkit
Registry source
Registry curated
Registry classification
Plugin
Source checked
2a1519c · 2026-10-24

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
906GitHub stars
Forks
46
Open issues
6
Last commit
2026-10-23
Last release
2026-10-18
For maintainers

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