halcon-to-coco
halcon-to-coco is a Computer vision skill for AI agents, published by KeploreAI-Lab in the MindAct repository on GitHub. Skillspace rates halcon-to-coco D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill whenever a user has a dataset labeled with HALCON Deep Learning Tool (.hdict format) and wants to convert it to an open-source training format. This skill covers the full pipeline: (1) understanding the user's HALCON .hdict dataset structure, (2) choosing the right approach — either running the provided HALCON export script (.hdev) directly in HDevelop, or using the Python fallback that reads the .hdict file and converts it without HALCON installed, (3) converting to COCO JSON (instance segmentation / detection), YOLO, or other open-source formats. Trigger this skill when the user mentions: "HALCON dataset", "hdict file", "HDevelop", "HALCON Deep Learning Tool", "export from HALCON", "convert .hdict", "HALCON annotations", or any reference to MVTec HALCON in the context of training data. Also trigger when the user uploads a .hdev or .hdict file.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 85
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- AGPL-3.0
- Adoption
- Adopted by 1 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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