feat: package isolated two-step Kaggle GPU verification

fix: restore pipeline correctness and gate training on verified data

fix(scheduler): patch BasicSR CosineAnnealingRestartLR out-of-bounds crash on resume

fix(pipeline): force zero distortion on pure quality, fix radio state sync, and extend training to 6000 iters

fix(kaggle): prune intermediate checkpoints and increase save_checkpoint_freq to prevent disk full

fix(kaggle): resolve CUDA OOM, KeyError tensor(32) in ONNX export, and checkpoint export path

feat: v3 ONNX support, ArcFace paths, CPU batch fix, kaggle runner, get_available_models UI

fix: ensure basicsr/version.py is tracked and generated properly

feat: enforce held-out benchmark workflow

feat: integrate Wink Quality Engine, skin grain retention, eye/lip sparkle, and update Obsidian vault

feat(model): integrate ArcFace identity loss into CodeFormer training pipeline (Phase 3)

fix(hf): integrate Static INT8 ONNX build into Dockerfile and fix thread state guard in app.py

fix: add gc.collect() in train.py to prevent memory leak during long CPU runs

Fix training crash on CPU, reduce val_freq, add OpenCV env vars

feat: add Google Colab GPU notebook, ONNX export script, and pipeline ONNX optimization

fix: resolve basicSR training loop termination bug when changing dataset size

feat: add custom stage 3 training runner and fix Windows/CPU resume path compatibility in BasicSR

feat: clone CodeFormer, download pretrained weights, and verify imports