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visual-dialogue-tools

visual-dialogue-tools

Route image upload, click-mask segmentation, OCR, Husky VQA/captioning, inpainting, replacement, and ControlNet image workflows.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: visual-dialogue-tools description: "Route image upload, click-mask segmentation, OCR, Husky VQA/captioning, inpainting, replacement, and ControlNet image workflows." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

Visual Dialogue Tools

Use this sub-skill when the task is about uploading an image, clicking a region, asking about text or scene content, removing or replacing a masked object, saving a mask for later use, or generating/editing an image from segmentation, canny, scribble, depth, pose, line, or normal control maps.

Route elsewhere

  • App launch/load strings, tab gating, certificates, and service-level model loading belong in ../app-deployment/SKILL.md.
  • ImageBind audio/thermal generation and DragGAN point editing belong in ../cross-modal-generation/SKILL.md.
  • Video upload, captioning, action recognition, dense captioning, and TikTok-style clip generation belong in ../video-understanding/SKILL.md.

Read first

  • Read references/controller-state.md for the ConversationBot state model, upload flow, click-mask handling, memory updates, and path recovery rules.
  • Read references/image-tool-reference.md when you need the exact tool names, comma-separated input grammar, checkpoint expectations, or output filename conventions.
  • Read references/image-workflows.md for end-to-end recipes such as Pick, OCR on a clicked region, remove/replace, save-mask reuse, and control-map generation.
  • Read references/troubleshooting.md when a tool is unloaded, a mask is empty, parent-image recovery fails, a checkpoint is missing, OCR returns no text, or the prompt grammar is ambiguous.
  • Run scripts/validate_mask_inputs.py before handing a candidate image/mask pair to removal, replacement, or OCR workflows; it checks file existence, format, dimensions, non-empty masks, and an optional parent relationship.

Operating notes

  • Treat state as the chat transcript and user_state[0] as the live session cache.
  • Uploaded images seed both caption and OCR memory; clicked masks are saved under image/ with a recoverable parent anchor.
  • Use OCR when the user cares about exact characters; use HuskyVQA when the user cares about scene semantics inside a selected region.
  • Removal uses the inpainting path; replacement uses the masked-object replacement path; both expect the image path first and the mask path second.
  • Many models are e-mode aware and move to CPU between calls, so do not assume GPU residency across turns.
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