Enhancer / tools

Commit History

  1. research: audit blur routing and specify kernel feasibility gates

    supli6669
    0b8ac89

  1. test: evaluate bounded deblur and document quality rejection

    supli6669
    27c5524
  2. feat: add isolated regional sharpening experiments and gates

    supli6669
    4afd216
  3. fix: sharpen source detail before upscaling

    supli6669
    922a7cf

  1. perf: defer UI restoration loading and separate source blend

    supli6669
    20e323e
  2. fix: preserve source detail and color during enhancement

    supli6669
    7a6485d

  1. feat(p3): complete automated Kaggle GPU 2-iteration verification gate

    supli6669
    8c41c5b

  1. feat: package isolated two-step Kaggle GPU verification

    supli6669
    7f910bb
  2. feat: simplify dataset review with conservative experiment splits

    supli6669
    05771b6
  3. feat: add resumable dataset review and frozen baseline gates

    supli6669
    26efe9c

  1. fix: restore pipeline correctness and gate training on verified data

    supli6669
    f7c0974

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

    supli6669
    02920b7
  2. fix(pipeline): force zero distortion on pure quality, fix radio state sync, and extend training to 6000 iters

    supli6669
    2371881

  1. test(pipeline): modernize Phase 7 A/B model and preset verification suite

    supli6669
    83c9930
  2. feat(universal): implement universal non-face image restoration, Real-ESRGAN multi-model engine, and compat shim

    supli6669
    675aba8
  3. fix(realesrgan): patch torchvision functional_tensor import in basicsr degradations

    supli6669
    e959c89
  4. feat(realesrgan): add Kaggle GPU super-resolution training pipeline and runner

    supli6669
    07c8f01
  5. feat: v3 ONNX support, ArcFace paths, CPU batch fix, kaggle runner, get_available_models UI

    supli6669
    258dc9e
  6. fix(dataset): robust synthetic fallbacks for dataset preparation

    supli6669
    cf2966a
  7. feat(v2.9.0): deliver Ultimate Glamour & Aesthetics Suite (crystal skin, glossy lips, doll-eye, golden hour)

    supli6669
    7fd0530
  8. fix: ensure basicsr/version.py is tracked and generated properly

    supli6669
    9908062
  9. fix: resolve dataset preparation pathing for Kaggle cloud training

    supli6669
    aee05c0
  10. feat: trigger automated Kaggle Cloud GPU Stage III training

    supli6669
    3ad4d0c
  11. fix: update Kaggle API payload structure and verified live deployment

    supli6669
    2dd2d60
  12. feat: add automated Kaggle Cloud GPU training pipeline and runner

    supli6669
    a27fd75
  13. feat: deliver Razor-Sharp & Super-Clarity Engine (v2.8.0) with Laplacian multi-scale pyramid clarity, optical deblur, and crystal dehaze

    supli6669
    c7ef7ad
  14. feat: deliver Ultimate Studio Pro Suite (v2.7.0) with 400% zoom loupe, anti-glare matte skin, natural makeup palette, and 8K upscale

    supli6669
    36864d0

  1. feat: deliver Next-Level Studio AI Features (v2.6.0) with iris catchlight glow, hair strand super-clarity, and 3D studio relighting

    supli6669
    9a26028
  2. feat: deliver Studio AI Enhancement Suite (v2.5.0) with interactive split slider, dark circle concealer, cinematic film LUTs, and portrait bokeh

    supli6669
    f887be0
  3. fix: comprehensive edge-case hardening, dynamic preset bindings, and model weight size validation

    supli6669
    42b6da2
  4. fix: resolve image upload decoding errors, fix EXIF orientation, and add Docker build pre-download weights

    supli6669
    e08c5be
  5. feat: add Studio Portrait Beauty Suite with teeth whitening, ocular catchlight sparkle, and auto tone glow balance

    supli6669
    bf9109c
  6. feat: add multi-image batch processing, HTML quality report card, live webcam beautifier, and chromatic aberration filter

    supli6669
    c27ce82
  7. feat: add video AI restoration, Studio Skin 2.0 bilateral synthesis, and multi-tab benchmark explorer UI

    supli6669
    44bce3d
  8. feat: complete end-to-end model benchmark evaluation, colab training notebook, and UI comparison GIF exporter

    supli6669
    d4c639f

  1. feat: enforce held-out benchmark workflow

    supli6669
    0193004
  2. feat: add model quality workflow gate

    supli6669
    2d06408

  1. fix: align test_ab_ui_pipeline.py with single return value of process_image

    supli6669
    c55060c
  2. fix: resolve Windows cp1252 terminal encoding in test_all.py with 100% pass rate

    supli6669
    f2a9898
  3. feat: add master system verification test suite test_all.py with 100% pass rate and exit code 0

    supli6669
    f28ecd6
  4. feat: complete Phase 6 Stage II Transformer fine-tuning setup and verification with exit code 0

    supli6669
    a706587
  5. feat: verify Phase 7 A/B Model & Preset Pipeline with exit code 0

    supli6669
    a83a4d3
  6. feat: verify Phase 4 Dataset Expansion & Game Character Mixing with exit code 0

    supli6669
    06017be

  1. docs: update handover.md and add dynamic fallback verification to quantize_onnx_static.py

    supli6669
    c4942a1
  2. fix: remove static quantization from Dockerfile build and add fail-safe ONNX loader

    supli6669
    15b2edb
  3. fix(hf): integrate Static INT8 ONNX build into Dockerfile and fix thread state guard in app.py

    supli6669
    b42379b
  4. feat: implement static INT8 ONNX quantization tool & UI model engine selector

    supli6669
    77a7159

  1. fix: resolve B11 (offline setuptools wheel build via base64 encoding and Dockerfile update) and finalize Task 11 bug fixes

    supli6669
    a30aa2c

  1. fix: update download_weights.py to use stable github release urls

    supli6669
    d635133
  2. fix: resolve Hugging Face deployment crashes and dependency conflicts

    supli6669
    93fffe5