Visual ChangeNet for binary image classification and segmentation in AOI defect detection. Use when training, evaluating, exporting, or running inference for PCB defect detection or visual inspection, comparing image pairs for PASS/NO_PASS classification, or producing change-segmentation masks.
Install
npx skills add NVIDIA/skills --skill tao-train-visual-changenetnpx skills add NVIDIA/skills --skill tao-train-visual-changenet -a claude-code -gnpx skills add NVIDIA/skills --skill tao-train-visual-changenet -a codex -ggemini skills install https://github.com/NVIDIA/skills.git --path skills/tao-train-visual-changenetgh skill install NVIDIA/skills tao-train-visual-changenetgit clone --depth 1 https://github.com/NVIDIA/skills /tmp/NVIDIA__skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/NVIDIA__skills/skills/tao-train-visual-changenet ~/.claude/skills/tao-train-visual-changenet # Claude Code
cp -R /tmp/NVIDIA__skills/skills/tao-train-visual-changenet ~/.agents/skills/tao-train-visual-changenet # Codex, Cursor, Gemini CLI, Copilot, OpenCode