Extract and visualize GLM-V grounding results from images or videos.
npx skills add https://github.com/ViewWay/openclaw-skills --skill glmv-grounding-viewway
Please help me install this Agent Skill. Skill: glmv-grounding Source: https://github.com/ViewWay/openclaw-skills/tree/main/glmv-grounding Command: npx skills add https://github.com/ViewWay/openclaw-skills --skill glmv-grounding-viewway
GLMV-Grounding provides automated grounding results for prompts describing targets in images or videos, and visualizes coordinates and trackers to assist analysis.
Run the GLM-V grounding CLI with an image or video and prompt to obtain grounding results and optional visualizations.
High-intent search queries and answers about installing and using this skill.
To extract and visualize 3D bounding boxes from images using GLM-V, the Skill processes your prompt and image to return relative coordinates alongside exported visualizations for scene analysis.
Video tracking with coordinate conversion is the process of identifying targets across frames and mapping relative coordinates to visualize trackers, which this Skill automates using GLM-V for video surveillance analysis.
Yes, you need a ZHIPU_API_KEY to access the fixed GLM-V API endpoint for grounding targets in videos, enabling extraction of structured grounding results and visual trackers.
Yes, you can use both local files and public URLs for image processing with GLM-V grounding, allowing you to process diverse inputs and generate visualizations for model evaluation or QA checks.
A limitation of using GLM-V for 2D point grounding is that relative coordinates are constrained to a 0-1000 scale, requiring coordinate conversion for precise pixel mapping in detailed image analysis tasks.
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