ShadeNet-2 20M: weights (EMA), ONNX fp32+int8, app + card

.gitattributes

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README.md

@@ -39,7 +39,6 @@ A lightweight inverse-rendering model: one photo in, **albedo + relative depth +
 
 ## Examples
 
-[![152029243](assets/152029243_b3582c36fa_result.png)](assets/152029243_b3582c36fa_result.png)
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@@ -55,7 +54,7 @@ A lightweight inverse-rendering model: one photo in, **albedo + relative depth +
 
 Same inputs, both models — albedo/basecolor, normals and depth side by side (v1 top rows, v2 bottom rows). Each side uses its best ensemble: v1 runs 5 noisy passes + median (its published protocol); v2 runs a 3-pass multi-scale median tuned on the val split (noise was tested and hurts: val/loss 0.2395 vs 0.2421 single-pass).
 
-[![compare 1](assets/compare_152029243_b3582c36fa.png)](assets/compare_152029243_b3582c36fa.png)
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