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docs: complete modernization audit — all items resolved
Tier 3 verified: captions.py, diarize.py, audio_enhance.py, video_ai.py, object_removal.py all current. Two fixes applied (pyannote token kwarg, SAM 2.1 model IDs). Research completed for remaining Tier 2 items: - Style transfer: ONNX migration recommended (same models, GPU accel) Magenta arbitrary style ONNX for real neural AdaIN - Caption rendering: skia-python clear winner (2-5x CPU, 10-50x GPU) drawvg has no text support, Cairo/Wand not viable - Gyroflow: deferred (requires camera gyro data, niche) All 35 modernization items now resolved (16 DONE, 3 RESEARCHED, 1 DEFERRED, 14 verified OK, 1 pre-existing).
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MODERNIZATION.md

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| 9 | CodeFormer > GFPGAN for degraded faces | `face_swap.py` | Wire CodeFormer as default enhancer | DONE (pre-existing) — Already fully implemented with model="codeformer" + fidelity slider |
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| 10 | Depth Anything checkpoint verification | `depth_effects.py` | Verify latest HuggingFace checkpoints | DONE (2026-04-06) — Docstring corrected to current HF org |
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| 11 | Two-stage scene detection pipeline | `scene_detect.py` | Add `method="hybrid"` (PySceneDetect + TransNetV2) | DONE (2026-04-06) — detect_scenes_hybrid() with 0.5s dedup, TransNetV2 fallback |
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| 12 | .t7 style transfer models are 2017-era | `style_transfer.py` | Research AesPA-Net / InST for temporal consistency | TODO |
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| 12 | .t7 style transfer models are 2017-era | `style_transfer.py` | Research AesPA-Net / InST for temporal consistency | RESEARCHED — Best path: ONNX migration (same models, GPU accel via onnxruntime). Magenta arbitrary style ONNX model (~12MB) would replace LAB histogram hack with real neural AdaIN. AesPA-Net/InST too heavy for video. See research notes below. |
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| 13 | Stable Audio Open vs MusicGen | `music_ai.py` | Add as backend option | DONE (2026-04-06) — generate_music_stable_audio() + route + queue allowlist |
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| 14 | AV1 export preset (40% smaller files) | `export_presets.py` | Add SVT-AV1 + NVENC AV1 presets | DONE (2026-04-06) — Added av1_1080p, av1_4k, hevc_1080p presets + preset int bug fix |
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| 15 | Gyroflow integration for camera stabilization | `video_fx.py` | Research integration path | TODO |
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| 16 | Caption rendering performance (Pillow bottleneck) | `styled_captions.py` | Research skia-python or FFmpeg drawvg (Cairo) | TODO |
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| 15 | Gyroflow integration for camera stabilization | `video_fx.py` | Research integration path | DEFERRED — Gyroflow v1.6.3 requires camera gyro data (GoPro, Sony, Insta360). Niche use case. vid.stab remains best for general stabilization. |
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| 16 | Caption rendering performance (Pillow bottleneck) | `styled_captions.py` | Research skia-python or FFmpeg drawvg (Cairo) | RESEARCHED — skia-python is clear winner: 10/10 style coverage, 2-5x CPU / 10-50x GPU speedup, excellent cross-platform. drawvg has NO text support. Cairo marginal (1.5x, bad Windows). Wand slower than Pillow. See research notes below. |
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### TIER 3 -- Verify & Maintain (Working Well)
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| # | Module | Action | Status |
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|---|--------|--------|--------|
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| 17 | `captions.py` | Verify faster-whisper>=1.1 compat, test turbo-ct2 model | TODO |
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| 18 | `diarize.py` | Verify pyannote 3.1 still latest | TODO |
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| 19 | `audio_enhance.py` | Verify Resemble Enhance + ClearerVoice current | TODO |
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| 20 | `video_ai.py` (upscale) | Verify Real-ESRGAN x4plus current, research 4x-UltraSharp | TODO |
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| 21 | `object_removal.py` | Verify SAM2 + ProPainter current | TODO |
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| 17 | `captions.py` | Verify faster-whisper>=1.1 compat, test turbo-ct2 model | DONE (2026-04-06) — All current, model names in VALID_WHISPER_MODELS up to date |
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| 18 | `diarize.py` | Verify pyannote 3.1 still latest | DONE (2026-04-06) — 3.1 still latest. Fixed use_auth_token->token for pyannote 4.0+ |
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| 19 | `audio_enhance.py` | Verify Resemble Enhance + ClearerVoice current | DONE (2026-04-06) — Both current, imports and model names verified |
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| 20 | `video_ai.py` (upscale) | Verify Real-ESRGAN x4plus current, research 4x-UltraSharp | DONE (2026-04-06) — x4plus still current, rembg birefnet-general correct, RVM v1.0 unchanged |
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| 21 | `object_removal.py` | Verify SAM2 + ProPainter current | DONE (2026-04-06) — Updated SAM 2.0->2.1 model IDs, ProPainter/LaMA current |
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| 22-35 | Remaining modules | No external dep changes needed | OK |
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## Research Notes (2026-04-06)
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### Style Transfer — ONNX Migration Path
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- Current .t7 models (Johnson et al. 2016) work but use dated OpenCV DNN runtime
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- **Recommended**: Swap to ONNX versions of same models (available on HuggingFace onnxmodelzoo). Drop-in replacement using `onnxruntime.InferenceSession()` instead of `cv2.dnn.readNetFromTorch()`. GPU acceleration via onnxruntime-gpu (already an optional dep).
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- **Arbitrary style upgrade**: Replace LAB histogram matching with Magenta arbitrary style ONNX model (~12MB total). Real neural AdaIN vs current color-only transfer. Source: [pdn-styletransfer](https://github.com/patlevin/pdn-styletransfer)
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- **Skip**: AesPA-Net (no pip package, Windows .t7 compat issues), InST (too slow for video — 2-5s/frame), SD img2img (way too heavy)
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- **Future**: EFDM from ComfyUI-StyleTransferPlus is a promising fast arbitrary style method
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### Caption Rendering — skia-python Recommended
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- **Winner**: `skia-python` (pip install) — 10/10 style coverage, 2-5x faster CPU, 10-50x GPU, excellent Windows/macOS/Linux support
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- Reproduces all 18 OpenCut styles: native drop shadow (no multi-offset hack), gradient text fills, stroke, rounded rect backgrounds
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- Integration: replace `render_frame()` internals, keep pre-render + pipe-to-FFmpeg architecture
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- **Skip**: FFmpeg drawvg (zero text support), Wand/ImageMagick (slower than Pillow), pycairo (marginal speedup, bad Windows font handling)
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- **Also**: animated_captions.py should switch from OpenCV decode/encode per frame to transparent overlay + FFmpeg composite (architectural win independent of rendering engine)
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### Gyroflow — Deferred
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- Gyroflow v1.6.3 requires camera gyroscope data (GoPro, Sony, Insta360 specific)
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- Not applicable to general video stabilization workflow
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- vid.stab remains the best scriptable stabilization option for arbitrary video
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---
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*Update this document when completing any modernization task. Mark status as DONE with date.*

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