fix: resolve all audit findings — e2e coverage, feature system hardening, visual baselines

- Add 8 new E2E specs for AI tools (upscale, enhance-faces, colorize,
  restore-photo, erase-object, smart-crop, passport-photo, red-eye-removal)
  closing all HIGH/MEDIUM coverage gaps from the test matrix audit
- Fix ensureAiDirs() crash on non-Docker environments by gating on
  isDockerEnvironment() — prevents ENOENT when /data doesn't exist
- Bump torch 2.6.0→2.7.0 and torchvision 0.21.0→0.22.0 in feature
  manifest for broader Python version compatibility
- Add Python 3.14 version guard warning in install_feature.py
- Remove duplicate torchvision shims from upscale.py and enhance_faces.py
  (dispatcher.py already handles this at startup)
- Remove orphaned tools.batch i18n key and dead pipeline-builder filter
- Regenerate 4 visual regression baselines for current UI state
- Add data-testid to passport-photo generate button for E2E testability

docker/feature-manifest.json

@@ -132,7 +132,7 @@
       "packages": {
         "common": ["codeformer-pip==0.0.4", "huggingface-hub", "einops"],
         "amd64": [
-          "torch==2.6.0+cu126 torchvision==0.21.0+cu126 --index-url https://download.pytorch.org/whl/cu126",
+          "torch==2.7.0+cu126 torchvision==0.22.0+cu126 --index-url https://download.pytorch.org/whl/cu126",
           "lpips",
           "realesrgan==0.3.0"
         ],
@@ -207,7 +207,7 @@
         "amd64": [
           "onnxruntime-gpu==1.20.1",
           "mediapipe==0.10.21",
-          "torch==2.6.0+cu126 torchvision==0.21.0+cu126 --index-url https://download.pytorch.org/whl/cu126",
+          "torch==2.7.0+cu126 torchvision==0.22.0+cu126 --index-url https://download.pytorch.org/whl/cu126",
           "lpips",
           "realesrgan==0.3.0"
         ],