forge-edge-detection

What problem does it solve?

Edge detection, occlusion highlighting, and ghost silhouettes are essential for enhancing depth perception in SDL GPU pipelines. This Skill provides post-process edge detection using Sobel filtering on G-buffer data (depth + normals via MRT), stencil-based X-ray vision using depth_fail_op to mark occluded geometry, and Fresnel-based ghost silhouettes rendered with additive blending.

Core Features & Use Cases

• Post-process edge outlines from depth/normal discontinuities using Sobel filter on G-buffer data.
• X-ray occlusion visualization via depth_fail_op stencil marking to reveal occluded geometry.
• Fresnel ghost silhouettes rendered with additive blending to suggest hidden geometry.
• Pipeline overview supports multiple passes (shadow, MRT scene, MRT grid, edge composite, X-ray mark, ghost) for cohesive effects.

Quick Start

Integrate this edge-detection workflow into your SDL GPU project and run the post-process passes to render edge outlines, X-ray occlusion marks, and Fresnel ghosts.