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authorskal <pascal.massimino@gmail.com>2026-03-22 10:48:50 +0100
committerskal <pascal.massimino@gmail.com>2026-03-22 10:48:50 +0100
commite323d793e76dec7576546068f9f4c7d8d8a1d34d (patch)
treeaa84934a39bcf7d65b642e5460048edd52bec83c /cnn_v3/docs
parent4c7ca0f06eb180f4a83641466014865c334e8987 (diff)
fix(cnn_v3): resize target to albedo dims when sizes differ
target.png can have a different resolution than albedo.png in simple samples; patch slicing into the smaller target produced 0×0 tensors, crashing torch.stack in the DataLoader collate. handoff(Gemini): target resized in _load_sample (LANCZOS) + note in HOW_TO_CNN §1c.
Diffstat (limited to 'cnn_v3/docs')
-rw-r--r--cnn_v3/docs/HOW_TO_CNN.md1
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diff --git a/cnn_v3/docs/HOW_TO_CNN.md b/cnn_v3/docs/HOW_TO_CNN.md
index bb6f7a7..56ee101 100644
--- a/cnn_v3/docs/HOW_TO_CNN.md
+++ b/cnn_v3/docs/HOW_TO_CNN.md
@@ -274,6 +274,7 @@ dataset/
- If `simple/` or `full/` subdir is absent the dataloader scans the root directly
- Minimum viable dataset: 1 sample (smoke test only); practical minimum ~50+ for training
- You can mix Blender and photo samples in the same subdir; the dataloader treats them identically
+- `target.png` may differ in resolution from `albedo.png` — the dataloader resizes it to match albedo automatically (LANCZOS)
---