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  1. .gitattributes +11 -0
  2. episodes/unverified_first_frame/city-carry/annotations/color-map.json +737 -0
  3. episodes/unverified_first_frame/city-carry/cameras/cameras.json +26 -0
  4. episodes/unverified_first_frame/city-carry/cameras/follow/camera.json +0 -0
  5. episodes/unverified_first_frame/city-carry/cameras/view-selection.json +47 -0
  6. episodes/unverified_first_frame/city-carry/logs/events.json +157 -0
  7. episodes/unverified_first_frame/city-carry/manifest.json +0 -0
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  11. episodes/unverified_first_frame/city-carry/validation/first-frame-review.json +28 -0
  12. episodes/unverified_first_frame/city-carry/validation/geometry-verification.json +236 -0
  13. episodes/unverified_first_frame/city-carry/validation/opaque-preparation.json +7 -0
  14. episodes/unverified_first_frame/city-carry/validation/perspective-preview.json +629 -0
  15. episodes/unverified_first_frame/city-carry/validation/perspective-verification.json +513 -0
  16. episodes/unverified_first_frame/city-carry/validation/recording-verification.json +27 -0
  17. episodes/unverified_first_frame/city-carry/validation/refinement-verification.json +222 -0
  18. episodes/unverified_first_frame/city-carry/validation/release-verification.json +22 -0
  19. episodes/unverified_first_frame/city-carry/validation/representation-verification.json +9 -0
  20. episodes/unverified_first_frame/city-carry/views/follow/colored-obb/color-map.json +737 -0
  21. episodes/unverified_first_frame/city-carry/views/follow/colored-obb/occlusion-frames.json +0 -0
  22. episodes/unverified_first_frame/city-carry/views/follow/colored-obb/prompt.txt +44 -0
  23. episodes/unverified_first_frame/city-carry/views/follow/colored-obb/render-profile.json +111 -0
  24. episodes/unverified_first_frame/city-carry/views/follow/colored-obb/render.json +50 -0
  25. episodes/unverified_first_frame/city-carry/views/follow/colored-obb/sample-time.json +5 -0
  26. episodes/unverified_first_frame/city-carry/views/follow/colored-obb/sample.json +144 -0
  27. episodes/unverified_first_frame/city-carry/views/follow/colored-obb/skill-check.json +40 -0
  28. episodes/unverified_first_frame/city-carry/views/follow/colored-obb/solid-verification.json +63 -0
  29. episodes/unverified_first_frame/city-carry/views/follow/colored-obb/verification.json +86 -0
  30. episodes/unverified_first_frame/city-carry/views/follow/colored-obb/video.description.json +7 -0
  31. episodes/unverified_first_frame/city-carry/views/follow/colored-obb/video.description.txt +1 -0
  32. episodes/unverified_first_frame/city-carry/views/follow/mixed/prompt.txt +44 -0
  33. episodes/unverified_first_frame/city-carry/views/follow/mixed/render-profile.json +116 -0
  34. episodes/unverified_first_frame/city-carry/views/follow/mixed/sample-time.json +5 -0
  35. episodes/unverified_first_frame/city-carry/views/follow/mixed/sample.json +71 -0
  36. episodes/unverified_first_frame/city-carry/views/follow/mixed/verification.json +29 -0
  37. episodes/unverified_first_frame/city-carry/views/follow/mixed/video.description.json +6 -0
  38. episodes/unverified_first_frame/city-carry/views/follow/mixed/video.description.txt +1 -0
  39. episodes/unverified_first_frame/city-carry/views/follow/prompt-context/engine.context.json +95 -0
  40. episodes/unverified_first_frame/city-carry/views/follow/prompt-context/engine.description.txt +1 -0
  41. episodes/unverified_first_frame/city-carry/views/follow/prompt-context/scene-context.json +321 -0
  42. episodes/unverified_first_frame/city-carry/views/follow/prompt-context/style.json +15 -0
  43. episodes/unverified_first_frame/city-carry/views/follow/white/prompt.txt +44 -0
  44. episodes/unverified_first_frame/city-carry/views/follow/white/render-profile.json +116 -0
  45. episodes/unverified_first_frame/city-carry/views/follow/white/sample-time.json +5 -0
  46. episodes/unverified_first_frame/city-carry/views/follow/white/sample.json +71 -0
  47. episodes/unverified_first_frame/city-carry/views/follow/white/verification.json +29 -0
  48. episodes/unverified_first_frame/city-carry/views/follow/white/video.description.json +6 -0
  49. episodes/unverified_first_frame/city-carry/views/follow/white/video.description.txt +1 -0
  50. episodes/unverified_first_frame/city-carry/views/views.html +1 -0
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+ ],
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+ "representation": "semantic-solid"
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+ },
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+ {
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+ "colorHex": "#74679b",
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+ "previousColors": [
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+ ],
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+ "colorChanged": true,
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+ "representation": "semantic-solid"
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+ },
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+ {
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+ "entityId": "market-stall-5",
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+ "semanticLabel": "building",
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+ "colorHex": "#74679b",
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+ "previousColors": [
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+ "#050505"
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+ ],
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+ "representation": "semantic-solid"
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+ },
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+ {
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+ "entityId": "parcel",
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+ "semanticLabel": "crate",
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+ "colorHex": "#bd935f",
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+ "previousColors": [
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+ "#050505"
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+ ],
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+ "representation": "semantic-solid"
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+ },
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+ {
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+ "entityId": "pickup-stand",
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+ "semanticLabel": "table",
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+ "colorHex": "#bf7b47",
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+ "previousColors": [
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+ "#050505"
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+ ],
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+ "colorChanged": true,
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+ "representation": "semantic-solid"
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+ },
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+ {
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+ "entityId": "destination-table",
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+ "semanticLabel": "table",
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+ "#050505"
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+ ],
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+ "colorChanged": true,
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+ "representation": "semantic-solid"
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+ }
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+ ]
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+ },
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+ "acceptedReference": "translucent-obb-20260918/source/repr-solid-obb/SKILL.md",
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+ "skill": "../../artifacts_new/diverse200-refined-animals-20260918/translucent-obb-20260918/source/repr-solid-obb/SKILL.md",
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+ "restoredAnimalIds": [],
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+ "occlusion": {
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+ "allFacesDepthTested": true,
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+ "farWhiteDepthTested": true,
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+ "epsilonMetres": "min(0.005, 0.001 + sceneDepth * 0.000001)",
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+ "obbBlending": "Original far-to-near alpha compositing; no nesting or mutual-occlusion filter",
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+ "bodyAlpha": 0.5,
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+ "frontAlpha": 0.6,
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+ "farWhiteAlpha": 0.25
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+ },
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+ "rendererVariant": "repr-solid-obb-pT-vT-opaque-occlusion-only-20260920"
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+ },
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+ "sourceWireframePolicy": {
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+ "version": "complex-visible-obb-v1",
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+ "complexClasses": [
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+ "person",
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+ "vehicle",
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+ "boat",
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+ "horse",
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+ "fish",
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+ "dog",
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+ "cat",
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+ "rabbit",
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+ "bird",
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+ "duck",
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+ "animal",
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+ "cart"
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+ ],
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+ "minimumFirstFrameShortSidePixels": 32,
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+ "measurement": "Actual raster footprint of all twelve proxy edges with opaque occlusion, clear glazing and camera-owner hiding; 1280×720, no antialiasing",
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+ "mappingLifetime": "same entity representation for every frame and both cameras",
512
+ "simpleObjects": [
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+ {
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+ "entityId": "parcel",
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+ "reason": "simple-shape-and-motion"
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+ }
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+ ],
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+ "smallObjects": [],
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+ {
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+ "camera": "follow",
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+ "representation": "mixed",
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+ "maxY": 402,
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+ "width": 54,
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+ "height": 54
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+ }
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+ ]
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+ },
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+ {
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+ "camera": "first-person",
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+ "representation": "mixed",
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+ "frame": 0,
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+ "boxes": [
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+ "entityId": "parcel",
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+ "pixels": 0,
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+ "width": 0,
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+ "height": 0
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+ }
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+ ]
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+ },
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+ {
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+ "camera": "follow",
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+ "representation": "colored-obb",
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+ "frame": 0,
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+ "boxes": [
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+ },
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+ "height": 137
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+ },
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+ }
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+ ]
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+ },
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+ {
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+ "camera": "first-person",
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+ "representation": "colored-obb",
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+ "height": 0
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+ },
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+ "maxX": 318,
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+ "maxY": 603,
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+ "height": 270
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+ },
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+ {
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+ "minX": 850,
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+ },
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+ }
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+ }
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+ ],
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+ "sourceGeometryOrCameraChanged": false
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+ },
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672
+ "complexBoxPolicy": {
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+ "complexObjectsOnly": true,
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+ "peopleAndAnimals": {
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+ "labels": [
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+ "person",
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+ "animal",
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+ "bird",
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+ "cat",
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+ "dog",
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+ "duck",
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+ "fish",
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+ "horse",
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+ "rabbit"
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+ ],
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+ },
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+ "frontAlpha": 0.6
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+ },
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+ "front": "white face on authored local -Z",
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+ "allAnimalsUseObb": true,
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+ "animalMinimumPixelException": true,
697
+ "animalExceptionReason": "Latest request includes animals such as rabbits in OBB; all animal classes selected at true size, including formerly small fish/horse.",
698
+ "nonAnimalSelection": "Preserve previous selection: a visible first-frame edge footprint below 32 px in either camera retains canonical solid for the whole episode.",
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+ "minimumFirstFrameShortSidePixels": {
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+ "nonAnimals": 32,
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+ "animals": null
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+ },
703
+ "boundsInflated": false,
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+ "supportsAndSimpleObjects": "Platforms, stairs, doors, simple props remain solids; fishing segments remain lines.",
705
+ "nearPlaneRule": "Any corner behind z=-0.05 skips solid fill and preserves the wireframe input, exactly as in the skill.",
706
+ "limits": [
707
+ "Translucent fills retain source wire edges, including old white edges.",
708
+ "Back-facing white tint for translucent objects has no depth test, as in the original skill.",
709
+ "PIL polygon edges have no antialiasing; alpha blend is in sRGB."
710
+ ],
711
+ "skill": "translucent-obb-20260918/source/repr-solid-obb/SKILL.md",
712
+ "storage": {
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+ "fullSequenceMedia": [
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+ "video.mp4"
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+ ],
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+ "galleryFrames": [
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+ 0,
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+ 75,
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+ 149
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+ ],
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+ "fullFramePngSequenceRetained": false,
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+ "solidMp4Retained": false,
723
+ "depthAndMetadataRetained": true
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+ },
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+ "allSelectedObbs": "translucent, no opaque class"
726
+ },
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+ "sourceAcceptedReference": "benchmark-v2-demos-colored-obb-semantic-background-more-20260915/episodes/d100-cave-a-2/follow/colored-obb/video.mp4",
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+ "occlusion": {
729
+ "allFacesDepthTested": true,
730
+ "farWhiteDepthTested": true,
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+ "epsilonMetres": "min(0.005, 0.001 + sceneDepth * 0.000001)",
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+ "obbBlending": "Original far-to-near alpha compositing; no nesting or mutual-occlusion filter",
733
+ "bodyAlpha": 0.5,
734
+ "frontAlpha": 0.6,
735
+ "farWhiteAlpha": 0.25
736
+ }
737
+ }
episodes/unverified_first_frame/city-carry/cameras/cameras.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schemaVersion": "generative-camera-index.v1",
3
+ "pathBase": "camera index directory",
4
+ "metadata": {
5
+ "schemaVersion": "generative-cameras.v1",
6
+ "groupId": "dv200-109-city-carry-motion-000",
7
+ "perspectiveVersion": "actor-eye-v2",
8
+ "perspectives": {
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+ "follow": "third-person",
10
+ "first-person": "first-person"
11
+ }
12
+ },
13
+ "hasPolicies": true,
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+ "tracks": {
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+ "follow": {
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+ "path": "follow/camera.json",
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+ "frameCount": 150,
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+ "sha256": "e1f14696a2ba9034f795e66bf30c8d4e915742ebf1a6c6ec44b78596df17cf3d"
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+ },
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+ "first-person": {
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+ "path": "first-person/camera.json",
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+ "frameCount": 150,
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+ "sha256": "55dc2020d516a38a1c600b6146336d7860bf4e857f5a04259d039f17ef0d8fc7"
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+ }
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+ }
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+ }
episodes/unverified_first_frame/city-carry/cameras/follow/camera.json ADDED
The diff for this file is too large to render. See raw diff
 
episodes/unverified_first_frame/city-carry/cameras/view-selection.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schemaVersion": "gallery-view-selection.v1",
3
+ "role": "used",
4
+ "group": "unverified_first_frame",
5
+ "episodeId": "dv200-109-city-carry",
6
+ "views": [
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+ "follow"
8
+ ],
9
+ "tracks": {
10
+ "follow": {
11
+ "path": "follow/camera.json",
12
+ "frameCount": 150,
13
+ "sha256": "e1f14696a2ba9034f795e66bf30c8d4e915742ebf1a6c6ec44b78596df17cf3d"
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+ }
15
+ },
16
+ "completeOriginalEpisode": "../../../../../provenance/complete_episodes/unverified_first_frame/dv200-109-city-carry",
17
+ "sharedSceneFiles": {
18
+ "browser-verification.json": "../validation/browser-verification.json",
19
+ "cameras.json": "cameras.json",
20
+ "color-map.json": "../annotations/color-map.json",
21
+ "colored-obb-frames.jsonl.gz": "../annotations/colored-obb-frames.jsonl.gz",
22
+ "engine-trace.jsonl.gz": "../logs/engine-trace.jsonl.gz",
23
+ "events.json": "../logs/events.json",
24
+ "first-frame-measurements.json": "../validation/first-frame-measurements.json",
25
+ "first-frame-review.json": "../validation/first-frame-review.json",
26
+ "first-frame-six.png": "../previews/first-frame-six.png",
27
+ "frame-149-six.png": "../previews/frame-149-six.png",
28
+ "frame-75-six.png": "../previews/frame-75-six.png",
29
+ "frames.jsonl.gz": "../scene/frames.jsonl.gz",
30
+ "geometry-frames.jsonl.gz": "../validation/geometry-frames.jsonl.gz",
31
+ "geometry-verification.json": "../validation/geometry-verification.json",
32
+ "inputs.jsonl.gz": "../logs/inputs.jsonl.gz",
33
+ "manifest.json": "../manifest.json",
34
+ "opaque-preparation.json": "../validation/opaque-preparation.json",
35
+ "perspective-preview.json": "../validation/perspective-preview.json",
36
+ "perspective-verification.json": "../validation/perspective-verification.json",
37
+ "recording-verification.json": "../validation/recording-verification.json",
38
+ "refinement-verification.json": "../validation/refinement-verification.json",
39
+ "release-verification.json": "../validation/release-verification.json",
40
+ "representation-verification.json": "../validation/representation-verification.json",
41
+ "scene.glb": "../scene/scene.glb",
42
+ "views.html": "../views/views.html",
43
+ "views.json": "../views/views.json",
44
+ "world-metadata.json": "../scene/world-metadata.json"
45
+ },
46
+ "note": "Read tracks here for this folder. views.json and views.html list only these local selected views. cameras.json and historical reports retain the complete original recording. completeOriginalEpisode is a provenance link to the original collection, not a required local asset."
47
+ }
episodes/unverified_first_frame/city-carry/logs/events.json ADDED
@@ -0,0 +1,157 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
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+ {
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+ "tick": 0,
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+ "time": 0,
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+ "type": "scenario-start",
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+ "episodeId": "dv200-109-city-carry",
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+ "seed": 918531236
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+ }
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+ "actorId": "player",
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+ "sequence": 6,
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+ "actorId": "player"
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+ {
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+ "type": "action-carry",
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+ "actorId": "player",
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+ "relations": [
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+ {
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+ "subject": "player",
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+ "predicate": "holds",
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+ "object": "parcel",
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+ "source": "coastal-game benchmark director"
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+ }
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+ ]
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+ },
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+ {
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+ "sequence": 8,
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+ "actorId": "player"
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+ },
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+ {
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+ "sequence": 9,
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+ "type": "action-place",
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+ "actorId": "player",
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+ "action": "carry",
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+ "relations": [
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+ {
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+ "subject": "player",
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+ "predicate": "holds",
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+ "object": "parcel",
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+ "source": "coastal-game benchmark director"
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+ }
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+ ]
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+ },
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+ {
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+ "sequence": 10,
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+ "tick": 276,
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+ "time": 4.6,
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+ "type": "phase-change",
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+ "from": "place",
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+ "to": "placed",
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+ "actorId": "player"
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+ },
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+ {
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+ "sequence": 11,
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+ "type": "action-placed",
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+ "actorId": "player",
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+ "action": "carry",
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+ "relations": []
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+ },
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+ {
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+ "sequence": 12,
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+ "tick": 276,
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+ "time": 4.6,
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+ "type": "entity-state-change",
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+ "entityId": "parcel",
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+ "previous": {
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+ },
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+ "current": {
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+ "supportedBy": "destination-table"
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+ }
149
+ },
150
+ {
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+ "sequence": 13,
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+ "tick": 300,
153
+ "time": 5,
154
+ "type": "scenario-complete",
155
+ "episodeId": "dv200-109-city-carry"
156
+ }
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+ ]
episodes/unverified_first_frame/city-carry/manifest.json ADDED
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+ }
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+ "representation": "mixed",
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+ {
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+ "representation": "colored-obb",
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+ "restoredThirdPersonPixels": true,
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+ }
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+ ],
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+ "scope": "Canonical per-entity pixels in both views, plus view isolation. Visual contact sheets determine first-frame readability; these counts alone are not proof of an uncluttered scene.",
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+ "representationChecksScope": "Canonical first-frame visibility and baseline representation replay; current all-translucent RGB checks are in representation-verification.json."
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+ }
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+ {
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+ }
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+ "style": "diverse100b-refined-supports-swimming-snow-v1",
215
+ "solidSupports": [],
216
+ "linearObjects": [],
217
+ "snowPalette": null
218
+ },
219
+ "direction": {
220
+ "frontAxis": 2,
221
+ "frontSign": -1,
222
+ "front": {
223
+ "pattern": "white face",
224
+ "color": "#ffffff"
225
+ },
226
+ "source": "Authored body/root front; signed axis permutation only."
227
+ },
228
+ "sourceBackgroundPalette": {
229
+ "sky": "#6b91db",
230
+ "ground": "#3c3d4d",
231
+ "vegetation": "#50934c",
232
+ "structure": "#050505",
233
+ "bbox": "#d74535",
234
+ "water": "#42678b"
235
+ },
236
+ "backgroundSemantic": {
237
+ "id": "colored-obb-semantic-background-v1",
238
+ "palette": {
239
+ "ground": "#3c3d4d",
240
+ "building": "#74679b",
241
+ "table": "#bf7b47",
242
+ "road": "#667180",
243
+ "tree": "#50934c",
244
+ "water": "#42678b",
245
+ "rock": "#8b745f",
246
+ "vegetation": "#8aa85b",
247
+ "pier": "#9b8b76",
248
+ "person": "#86bfd4",
249
+ "crate": "#bd935f",
250
+ "cart": "#a4acb1",
251
+ "platform": "#c5a675",
252
+ "effect": "#f5bb38"
253
+ },
254
+ "labels": {
255
+ "ground": "Ground",
256
+ "building": "Buildings",
257
+ "table": "Tables and Furniture Already Labeled table",
258
+ "road": "Roads",
259
+ "tree": "Trees",
260
+ "water": "Water",
261
+ "rock": "Rocks",
262
+ "vegetation": "Low Vegetation",
263
+ "pier": "Piers / Boardwalks",
264
+ "person": "person",
265
+ "crate": "crate",
266
+ "cart": "cart",
267
+ "platform": "Platforms / Steps Not Involved in Interactions",
268
+ "effect": "Action Effects (Jet Exhaust, Projectile Trails, etc.)"
269
+ },
270
+ "scope": "only semantic-solid entities; preserve the selected base OBB adapters",
271
+ "semanticSource": "recorded entity.semanticLabel; no inferred node-level relabeling",
272
+ "geometryChanged": false,
273
+ "materialChange": "clone original material and change RGB color only",
274
+ "drawOrder": "preserve baseline opaque ordering using corresponding original material and object IDs",
275
+ "labelsAreCoarse": "building includes some walls, roofs and railings; some table entities combine tables and cabinets",
276
+ "baseRepresentation": "colored-obb-front-white",
277
+ "entries": [
278
+ {
279
+ "entityId": "ground",
280
+ "semanticLabel": "ground",
281
+ "colorHex": "#3c3d4d",
282
+ "previousColors": [
283
+ "#3c3d4d"
284
+ ],
285
+ "colorChanged": false,
286
+ "representation": "semantic-solid"
287
+ },
288
+ {
289
+ "entityId": "road",
290
+ "semanticLabel": "road",
291
+ "colorHex": "#667180",
292
+ "previousColors": [
293
+ "#3c3d4d"
294
+ ],
295
+ "colorChanged": true,
296
+ "representation": "semantic-solid"
297
+ },
298
+ {
299
+ "entityId": "building-0",
300
+ "semanticLabel": "building",
301
+ "colorHex": "#74679b",
302
+ "previousColors": [
303
+ "#050505"
304
+ ],
305
+ "colorChanged": true,
306
+ "representation": "semantic-solid"
307
+ },
308
+ {
309
+ "entityId": "building-1",
310
+ "semanticLabel": "building",
311
+ "colorHex": "#74679b",
312
+ "previousColors": [
313
+ "#050505"
314
+ ],
315
+ "colorChanged": true,
316
+ "representation": "semantic-solid"
317
+ },
318
+ {
319
+ "entityId": "building-2",
320
+ "semanticLabel": "building",
321
+ "colorHex": "#74679b",
322
+ "previousColors": [
323
+ "#050505"
324
+ ],
325
+ "colorChanged": true,
326
+ "representation": "semantic-solid"
327
+ },
328
+ {
329
+ "entityId": "building-3",
330
+ "semanticLabel": "building",
331
+ "colorHex": "#74679b",
332
+ "previousColors": [
333
+ "#050505"
334
+ ],
335
+ "colorChanged": true,
336
+ "representation": "semantic-solid"
337
+ },
338
+ {
339
+ "entityId": "building-4",
340
+ "semanticLabel": "building",
341
+ "colorHex": "#74679b",
342
+ "previousColors": [
343
+ "#050505"
344
+ ],
345
+ "colorChanged": true,
346
+ "representation": "semantic-solid"
347
+ },
348
+ {
349
+ "entityId": "building-5",
350
+ "semanticLabel": "building",
351
+ "colorHex": "#74679b",
352
+ "previousColors": [
353
+ "#050505"
354
+ ],
355
+ "colorChanged": true,
356
+ "representation": "semantic-solid"
357
+ },
358
+ {
359
+ "entityId": "building-6",
360
+ "semanticLabel": "building",
361
+ "colorHex": "#74679b",
362
+ "previousColors": [
363
+ "#050505"
364
+ ],
365
+ "colorChanged": true,
366
+ "representation": "semantic-solid"
367
+ },
368
+ {
369
+ "entityId": "building-7",
370
+ "semanticLabel": "building",
371
+ "colorHex": "#74679b",
372
+ "previousColors": [
373
+ "#050505"
374
+ ],
375
+ "colorChanged": true,
376
+ "representation": "semantic-solid"
377
+ },
378
+ {
379
+ "entityId": "market-stall-0",
380
+ "semanticLabel": "building",
381
+ "colorHex": "#74679b",
382
+ "previousColors": [
383
+ "#050505"
384
+ ],
385
+ "colorChanged": true,
386
+ "representation": "semantic-solid"
387
+ },
388
+ {
389
+ "entityId": "market-stall-1",
390
+ "semanticLabel": "building",
391
+ "colorHex": "#74679b",
392
+ "previousColors": [
393
+ "#050505"
394
+ ],
395
+ "colorChanged": true,
396
+ "representation": "semantic-solid"
397
+ },
398
+ {
399
+ "entityId": "market-stall-2",
400
+ "semanticLabel": "building",
401
+ "colorHex": "#74679b",
402
+ "previousColors": [
403
+ "#050505"
404
+ ],
405
+ "colorChanged": true,
406
+ "representation": "semantic-solid"
407
+ },
408
+ {
409
+ "entityId": "market-stall-3",
410
+ "semanticLabel": "building",
411
+ "colorHex": "#74679b",
412
+ "previousColors": [
413
+ "#050505"
414
+ ],
415
+ "colorChanged": true,
416
+ "representation": "semantic-solid"
417
+ },
418
+ {
419
+ "entityId": "market-stall-4",
420
+ "semanticLabel": "building",
421
+ "colorHex": "#74679b",
422
+ "previousColors": [
423
+ "#050505"
424
+ ],
425
+ "colorChanged": true,
426
+ "representation": "semantic-solid"
427
+ },
428
+ {
429
+ "entityId": "market-stall-5",
430
+ "semanticLabel": "building",
431
+ "colorHex": "#74679b",
432
+ "previousColors": [
433
+ "#050505"
434
+ ],
435
+ "colorChanged": true,
436
+ "representation": "semantic-solid"
437
+ },
438
+ {
439
+ "entityId": "parcel",
440
+ "semanticLabel": "crate",
441
+ "colorHex": "#bd935f",
442
+ "previousColors": [
443
+ "#050505"
444
+ ],
445
+ "colorChanged": true,
446
+ "representation": "semantic-solid"
447
+ },
448
+ {
449
+ "entityId": "pickup-stand",
450
+ "semanticLabel": "table",
451
+ "colorHex": "#bf7b47",
452
+ "previousColors": [
453
+ "#050505"
454
+ ],
455
+ "colorChanged": true,
456
+ "representation": "semantic-solid"
457
+ },
458
+ {
459
+ "entityId": "destination-table",
460
+ "semanticLabel": "table",
461
+ "colorHex": "#bf7b47",
462
+ "previousColors": [
463
+ "#050505"
464
+ ],
465
+ "colorChanged": true,
466
+ "representation": "semantic-solid"
467
+ }
468
+ ]
469
+ },
470
+ "acceptedReferenceStyle": "repr-solid-obb-pT-vT-opaque-occlusion-only-20260920",
471
+ "acceptedReference": "translucent-obb-20260918/source/repr-solid-obb/SKILL.md",
472
+ "solidObb": {
473
+ "alpha": 0.5,
474
+ "front_alpha": 0.6,
475
+ "object_alpha": 0.5,
476
+ "object_front_alpha": 0.6,
477
+ "people_labels": "person,horse,fish,dog,cat,rabbit,bird,duck,animal",
478
+ "skill": "../../artifacts_new/diverse200-refined-animals-20260918/translucent-obb-20260918/source/repr-solid-obb/SKILL.md",
479
+ "allAnimalIds": [],
480
+ "restoredAnimalIds": [],
481
+ "maxCornerPermutationError": 0,
482
+ "occlusion": {
483
+ "allFacesDepthTested": true,
484
+ "farWhiteDepthTested": true,
485
+ "epsilonMetres": "min(0.005, 0.001 + sceneDepth * 0.000001)",
486
+ "obbBlending": "Original far-to-near alpha compositing; no nesting or mutual-occlusion filter",
487
+ "bodyAlpha": 0.5,
488
+ "frontAlpha": 0.6,
489
+ "farWhiteAlpha": 0.25
490
+ },
491
+ "rendererVariant": "repr-solid-obb-pT-vT-opaque-occlusion-only-20260920"
492
+ },
493
+ "sourceWireframePolicy": {
494
+ "version": "complex-visible-obb-v1",
495
+ "complexClasses": [
496
+ "person",
497
+ "vehicle",
498
+ "boat",
499
+ "horse",
500
+ "fish",
501
+ "dog",
502
+ "cat",
503
+ "rabbit",
504
+ "bird",
505
+ "duck",
506
+ "animal",
507
+ "cart"
508
+ ],
509
+ "minimumFirstFrameShortSidePixels": 32,
510
+ "measurement": "Actual raster footprint of all twelve proxy edges with opaque occlusion, clear glazing and camera-owner hiding; 1280×720, no antialiasing",
511
+ "mappingLifetime": "same entity representation for every frame and both cameras",
512
+ "simpleObjects": [
513
+ {
514
+ "entityId": "parcel",
515
+ "reason": "simple-shape-and-motion"
516
+ }
517
+ ],
518
+ "smallObjects": [],
519
+ "firstFrame": [
520
+ {
521
+ "camera": "follow",
522
+ "representation": "mixed",
523
+ "frame": 0,
524
+ "boxes": [
525
+ {
526
+ "entityId": "parcel",
527
+ "pixels": 250,
528
+ "minX": 614,
529
+ "minY": 349,
530
+ "maxX": 667,
531
+ "maxY": 402,
532
+ "width": 54,
533
+ "height": 54
534
+ }
535
+ ]
536
+ },
537
+ {
538
+ "camera": "first-person",
539
+ "representation": "mixed",
540
+ "frame": 0,
541
+ "boxes": [
542
+ {
543
+ "entityId": "parcel",
544
+ "pixels": 0,
545
+ "minX": 1280,
546
+ "minY": 720,
547
+ "maxX": -1,
548
+ "maxY": -1,
549
+ "width": 0,
550
+ "height": 0
551
+ }
552
+ ]
553
+ },
554
+ {
555
+ "camera": "follow",
556
+ "representation": "colored-obb",
557
+ "frame": 0,
558
+ "boxes": [
559
+ {
560
+ "entityId": "player",
561
+ "pixels": 4218,
562
+ "minX": 556,
563
+ "minY": 265,
564
+ "maxX": 723,
565
+ "maxY": 538,
566
+ "width": 168,
567
+ "height": 274
568
+ },
569
+ {
570
+ "entityId": "npc-01",
571
+ "pixels": 1400,
572
+ "minX": 366,
573
+ "minY": 243,
574
+ "maxX": 454,
575
+ "maxY": 401,
576
+ "width": 89,
577
+ "height": 159
578
+ },
579
+ {
580
+ "entityId": "npc-02",
581
+ "pixels": 994,
582
+ "minX": 818,
583
+ "minY": 239,
584
+ "maxX": 892,
585
+ "maxY": 375,
586
+ "width": 75,
587
+ "height": 137
588
+ },
589
+ {
590
+ "entityId": "npc-03",
591
+ "pixels": 414,
592
+ "minX": 483,
593
+ "minY": 231,
594
+ "maxX": 535,
595
+ "maxY": 316,
596
+ "width": 53,
597
+ "height": 86
598
+ },
599
+ {
600
+ "entityId": "ambient-cart",
601
+ "pixels": 247,
602
+ "minX": 471,
603
+ "minY": 265,
604
+ "maxX": 529,
605
+ "maxY": 324,
606
+ "width": 59,
607
+ "height": 60
608
+ }
609
+ ]
610
+ },
611
+ {
612
+ "camera": "first-person",
613
+ "representation": "colored-obb",
614
+ "frame": 0,
615
+ "boxes": [
616
+ {
617
+ "entityId": "player",
618
+ "pixels": 0,
619
+ "minX": 1280,
620
+ "minY": 720,
621
+ "maxX": -1,
622
+ "maxY": -1,
623
+ "width": 0,
624
+ "height": 0
625
+ },
626
+ {
627
+ "entityId": "npc-01",
628
+ "pixels": 5249,
629
+ "minX": 163,
630
+ "minY": 334,
631
+ "maxX": 318,
632
+ "maxY": 603,
633
+ "width": 156,
634
+ "height": 270
635
+ },
636
+ {
637
+ "entityId": "npc-02",
638
+ "pixels": 1908,
639
+ "minX": 850,
640
+ "minY": 343,
641
+ "maxX": 944,
642
+ "maxY": 521,
643
+ "width": 95,
644
+ "height": 179
645
+ },
646
+ {
647
+ "entityId": "npc-03",
648
+ "pixels": 450,
649
+ "minX": 471,
650
+ "minY": 352,
651
+ "maxX": 520,
652
+ "maxY": 434,
653
+ "width": 50,
654
+ "height": 83
655
+ },
656
+ {
657
+ "entityId": "ambient-cart",
658
+ "pixels": 382,
659
+ "minX": 452,
660
+ "minY": 384,
661
+ "maxX": 513,
662
+ "maxY": 442,
663
+ "width": 62,
664
+ "height": 59
665
+ }
666
+ ]
667
+ }
668
+ ],
669
+ "sourceGeometryOrCameraChanged": false
670
+ },
671
+ "sourceWireframeSelection": "complex articulated/compound objects with no visible first-frame bbox edge footprint below 32 px in either camera; other objects retain canonical solid geometry",
672
+ "complexBoxPolicy": {
673
+ "version": "repr-solid-obb-pT-vT-20260918",
674
+ "complexObjectsOnly": true,
675
+ "peopleAndAnimals": {
676
+ "labels": [
677
+ "person",
678
+ "animal",
679
+ "bird",
680
+ "cat",
681
+ "dog",
682
+ "duck",
683
+ "fish",
684
+ "horse",
685
+ "rabbit"
686
+ ],
687
+ "bodyAlpha": 0.5,
688
+ "frontAlpha": 0.6
689
+ },
690
+ "otherSelectedObjects": {
691
+ "bodyAlpha": 0.5,
692
+ "frontAlpha": 0.6
693
+ },
694
+ "front": "white face on authored local -Z",
695
+ "allAnimalsUseObb": true,
696
+ "animalMinimumPixelException": true,
697
+ "animalExceptionReason": "Latest request includes animals such as rabbits in OBB; all animal classes selected at true size, including formerly small fish/horse.",
698
+ "nonAnimalSelection": "Preserve previous selection: a visible first-frame edge footprint below 32 px in either camera retains canonical solid for the whole episode.",
699
+ "minimumFirstFrameShortSidePixels": {
700
+ "nonAnimals": 32,
701
+ "animals": null
702
+ },
703
+ "boundsInflated": false,
704
+ "supportsAndSimpleObjects": "Platforms, stairs, doors, simple props remain solids; fishing segments remain lines.",
705
+ "nearPlaneRule": "Any corner behind z=-0.05 skips solid fill and preserves the wireframe input, exactly as in the skill.",
706
+ "limits": [
707
+ "Translucent fills retain source wire edges, including old white edges.",
708
+ "Back-facing white tint for translucent objects has no depth test, as in the original skill.",
709
+ "PIL polygon edges have no antialiasing; alpha blend is in sRGB."
710
+ ],
711
+ "skill": "translucent-obb-20260918/source/repr-solid-obb/SKILL.md",
712
+ "storage": {
713
+ "fullSequenceMedia": [
714
+ "video.mp4"
715
+ ],
716
+ "galleryFrames": [
717
+ 0,
718
+ 75,
719
+ 149
720
+ ],
721
+ "fullFramePngSequenceRetained": false,
722
+ "solidMp4Retained": false,
723
+ "depthAndMetadataRetained": true
724
+ },
725
+ "allSelectedObbs": "translucent, no opaque class"
726
+ },
727
+ "sourceAcceptedReference": "benchmark-v2-demos-colored-obb-semantic-background-more-20260915/episodes/d100-cave-a-2/follow/colored-obb/video.mp4",
728
+ "occlusion": {
729
+ "allFacesDepthTested": true,
730
+ "farWhiteDepthTested": true,
731
+ "epsilonMetres": "min(0.005, 0.001 + sceneDepth * 0.000001)",
732
+ "obbBlending": "Original far-to-near alpha compositing; no nesting or mutual-occlusion filter",
733
+ "bodyAlpha": 0.5,
734
+ "frontAlpha": 0.6,
735
+ "farWhiteAlpha": 0.25
736
+ }
737
+ }
episodes/unverified_first_frame/city-carry/views/follow/colored-obb/occlusion-frames.json ADDED
The diff for this file is too large to render. See raw diff
 
episodes/unverified_first_frame/city-carry/views/follow/colored-obb/prompt.txt ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ AWM_PROXY_CONTROL. One visual reference accompanies this text. <Video 1> is the conditioning proxy video: treat it as the exact spatiotemporal reference for where every subject is, how large it is and how it moves, but never as an appearance template or literal target geometry. Each subject's position and motion come from <Video 1>. Every subject's appearance comes from the text below, rendered consistently in the worldview and art direction it describes. The whole take is rendered in this style, from the first frame to the last: Photorealistic rendering with real-camera optics: shallow depth of field that separates the sharp near subject from a softly blurred background, diffuse low-contrast light with soft glowing specular highlights and lifted shadows, cool desaturated blue-grey grading with muted warm amber accents, misty atmospheric perspective softening the distance, wet or glossy reflective surfaces where the setting allows and finely textured matte materials elsewhere, natural human anatomy; no proxy colours, wireframes, block figures or game UI.
2
+
3
+ Human proxies in <Video 1> provide only framewise root position, occupied scale (in this representation the box is the entity's exact extent), and whole-body root orientation, which are exact and must be followed precisely. They carry no information about character appearance and do not represent identity, face, hairstyle, clothing, materials, colors, visual effects, anatomy, bones, joints, limb articulation, detailed posture, torso or head pose, hand pose, action phase, or physical contact. Reconstruct each character's appearance from the text, and reconstruct articulated motion from the timestamped text. Never reproduce a human proxy as a skeleton, stick figure, mannequin, node-connected body, or exposed rig. Left and right refer to each person's own body unless explicitly stated as screen direction. On every human, vehicle and animal proxy in <Video 1> the white face is the front of that entity's body: white there is a direction code, never an object, a material or a light, and it must not be painted. The hex colour tags used below only say which proxy stands for which subject: they are identity codes, never colours or materials of the result. Wherever <Video 1> shows a subject only as a flat single-colour shape, that shape is likewise only a placeholder for position, size and motion: draw the complete real person, animal or object the text names in its place.
4
+
5
+ Vehicle proxies in <Video 1> provide only framewise position, trajectory, body heading, rotation, and accurate overall length, width, height, and occupied scale; these anchors should be followed closely. They carry no information about vehicle appearance. Never reproduce a vehicle proxy as a wireframe vehicle, cage frame, tubular skeleton, exposed chassis, or low-poly proxy car. Vehicle identity, type, design details, materials, colors, and visual effects are defined by the text.
6
+
7
+ Roads, terrain, buildings, relative depth, rough scale, and layout in <Video 1> provide denser but still approximate structural cues. Conditioning colors, proxy geometry, node markers, rigging structures, and other visualization artifacts must never appear in the final video.
8
+
9
+ When sources conflict, resolve in this order: (1) geometry, camera, position and motion follow <Video 1>; (2) the worldview, art direction and overall style, and every subject's identity, appearance and materials, follow the text; (3) the timestamped text defines the concrete events, actions and rewrite targets within those constraints.
10
+
11
+ Clip contract: this clip is the very beginning of the take - nothing precedes it. The first frame of the target reproduces frame 0 of <Video 1> in the appearance the text describes, and the clip continues directly from it while performing the timestamped actions.
12
+
13
+ subject_definitions:
14
+ <Video 1> is the conditioning proxy video of the same 5-second shot (its role is fixed by the control block above). The clip contains exactly 4 human proxies standing for <Subject 1> (the protagonist), <Subject 5> (independently moving adult participant 1), <Subject 6> (independently moving adult participant 2), <Subject 7> (the person pushing the wheeled handcart) and 2 object proxies standing for <Subject 3> (the parcel or cargo crate), <Subject 4> (the wheeled handcart); nothing else in <Video 1> is a person or an interaction object.
15
+ <Subject 1> is the protagonist; in <Video 1> the human proxy tagged #366ef7; use the target appearance described below.
16
+ <Subject 2> is the environment and its fixed spatial arrangement: A narrow old-town market with stone facades, stalls, awnings and handcarts. Realize every recorded structure, terrain feature, body of water, vehicle and interaction object with plausible materials appropriate to this setting. Vehicles and animals in this shot: A wheeled handcart constructed of dark metal and wood, positioned further back in the market aisle - at the start of the clip its front toward the camera. A sturdy wooden crate with a matte finish and visible grain, supported by the pickup stand behind the protagonist. In <Video 1> the same environment layout is represented by flat semantic-colour proxy geometry: approximate structural cues for layout, relative depth and rough scale, never target materials or conditioning colours.
17
+ <Subject 3> is the parcel or cargo crate; in <Video 1> the solid proxy shape; use the target appearance described below.
18
+ <Subject 4> is the wheeled handcart; in <Video 1> the object proxy tagged #6636f7; use the target appearance described below.
19
+ <Subject 5> is independently moving adult participant 1; in <Video 1> the human proxy tagged #f736df that starts on the left of the frame; use the target appearance described below.
20
+ <Subject 6> is independently moving adult participant 2; in <Video 1> the human proxy tagged #36f7d6 that starts on the right of the frame; use the target appearance described below.
21
+ <Subject 7> is the person pushing the wheeled handcart; in <Video 1> the human proxy tagged #f79e36; use the target appearance described below.
22
+
23
+ summary:
24
+ [reference generation] Generate a 5.00-second continuous shot in <Subject 2> of <Subject 1> lifting a parcel, carrying it forward and placing it on a table, involving <Subject 3> and <Subject 4> and <Subject 5> and <Subject 6> and <Subject 7>. Use <Video 1> for layout, root motion, object trajectories, action timing and the camera path, and realize the scene with the detailed target materials below.
25
+
26
+ retention_analysis:
27
+ <Video 1> (whole-shot spatial and temporal structure): fully_preserved - geometry, camera, placement, root motion and object trajectories follow <Video 1> as a coarse spatiotemporal reference; appearance, limb articulation, detailed posture and physical contact are not encoded in the proxy.
28
+ <Subject 1> (appears in [Shot 1]): partially_preserved - retain the proxy's framewise root position, occupied scale, root orientation (the white face of the box is the front of the body), identity continuity and interaction timing from <Video 1>; reconstruct its appearance from the target materials below and its articulated motion from the timeline below.
29
+ <Subject 2> (appears in [Shot 1]): partially_preserved - retain terrain, object layout and architectural forms from <Video 1>; surfaces, materials and lighting come from the target materials below.
30
+ <Subject 3> (appears in [Shot 1]): partially_preserved - retain position, scale, trajectory and interaction role from <Video 1>; realize the object as seen in the target materials below, one continuous object throughout.
31
+ <Subject 4> (appears in [Shot 1]): partially_preserved - retain position, scale, trajectory, facing (the white face of its box is its front) and interaction role from <Video 1>; realize the object as seen in the target materials below, one continuous object throughout.
32
+ <Subject 5> (appears in [Shot 1]): partially_preserved - retain the proxy's framewise root position, occupied scale, root orientation (the white face of the box is the front of the body), identity continuity and interaction timing from <Video 1>; reconstruct its appearance from the target materials below and its articulated motion from the timeline below.
33
+ <Subject 6> (appears in [Shot 1]): partially_preserved - retain the proxy's framewise root position, occupied scale, root orientation (the white face of the box is the front of the body), identity continuity and interaction timing from <Video 1>; reconstruct its appearance from the target materials below and its articulated motion from the timeline below.
34
+ <Subject 7> (appears in [Shot 1]): partially_preserved - retain the proxy's framewise root position, occupied scale, root orientation (the white face of the box is the front of the body), identity continuity and interaction timing from <Video 1>; reconstruct its appearance from the target materials below and its articulated motion from the timeline below.
35
+
36
+ detailed_description:
37
+ Photorealistic rendering with real-camera optics: shallow depth of field that separates the sharp near subject from a softly blurred background, diffuse low-contrast light with soft glowing specular highlights and lifted shadows, cool desaturated blue-grey grading with muted warm amber accents, misty atmospheric perspective softening the distance, wet or glossy reflective surfaces where the setting allows and finely textured matte materials elsewhere, natural human anatomy; no proxy colours, wireframes, block figures or game UI.
38
+ [Shot 1] <Subject 2>, the setting: A narrow old-town market with stone facades, stalls, awnings and handcarts. Realize every recorded structure, terrain feature, body of water, vehicle and interaction object with plausible materials appropriate to this setting. Vehicles and animals in this shot: A wheeled handcart constructed of dark metal and wood, positioned further back in the market aisle - at the start of the clip its front toward the camera. A sturdy wooden crate with a matte finish and visible grain, supported by the pickup stand behind the protagonist. <Subject 1>, the protagonist, has the following target appearance: A realistic adult street vendor with grey-streaked black hair, wearing a khaki apron, tan chinos, and rubber clogs, standing in the foreground, seen only from behind - at the start of the clip facing away from the camera; keep this identity and outfit consistent throughout the shot. <Subject 3> is the parcel or cargo crate, realized with the materials above. <Subject 4> is the wheeled handcart, pushed by <Subject 7> who walks directly behind it with both hands on its handle - the cart never moves on its own and the two move together as one unit, realized with the materials above. <Subject 5> (independently moving adult participant 1) is a realistic adult tourist with curly copper hair under a straw hat, wearing a coral floral shirt, beige shorts, and sandals, standing to the left - at the start of the clip facing toward the camera, and keeps exactly this appearance. <Subject 6> (independently moving adult participant 2) is a realistic adult mechanic with auburn hair tied back, wearing navy work overalls and steel-toe boots, standing to the right, seen only from behind - at the start of the clip facing away from the camera, and keeps exactly this appearance. <Subject 7> (the person pushing the wheeled handcart) is a realistic adult bicycle courier with cropped black hair, wearing a mustard windbreaker, slate cargo shorts, and ivory sneakers, standing in the distance - at the start of the clip facing toward the camera, and keeps exactly this appearance. All people keep the same face, build and clothing throughout, with clothing folds responding naturally to movement. The action follows <Video 1> according to this timeline: From 00:00.000 to 00:00.733, the protagonist bends toward the parcel and takes hold of it; independently moving adult participant 2 moves about half a metre along its route; independently moving adult participant 3 moves about half a metre along its route; the cart moves about half a metre along its route. From 00:00.733 to 00:01.467, the protagonist lifts the parcel off its stand; independently moving adult participant 1 moves about half a metre along its route; independently moving adult participant 2 moves about half a metre along its route; independently moving adult participant 3 moves about half a metre along its route; the cart moves about half a metre along its route. From 00:01.467 to 00:03.967, the protagonist carries the parcel forward; the protagonist moves about 9 metres along its route; independently moving adult participant 1 moves about one and a half metres along its route; independently moving adult participant 2 moves about 2 metres along its route; independently moving adult participant 3 moves about 2 metres along its route; the cart moves about 2 metres along its route. From 00:03.967 to 00:04.567, the protagonist lowers the parcel onto the table; independently moving adult participant 1 moves about half a metre along its route; independently moving adult participant 2 moves about half a metre along its route; independently moving adult participant 3 moves about half a metre along its route; the cart moves about half a metre along its route. From 00:04.567 to 00:05.000, the parcel rests on the table and the protagonist lets go of it; independently moving adult participant 1 moves a short distance along its route; independently moving adult participant 2 moves about half a metre along its route; independently moving adult participant 3 moves about half a metre along its route; the cart moves about half a metre along its route. Recorded relations: the protagonist holds the parcel or cargo crate from 00:00.733 to 00:04.567. The parcel or cargo crate is one continuous object throughout and comes to rest about half a metre from the protagonist. The wheeled handcart is one continuous object throughout and ends the clip about 4 metres from the protagonist. The protagonist in the foreground covers independently moving adult participant 3 from about 0.7 s to 1.8 s; the wheeled handcart in the foreground covers independently moving adult participant 3 from about 0.0 s to 1.8 s; the wheeled handcart in the foreground covers independently moving adult participant 3 from about 2.4 s to 2.9 s. Keep the reference's fixed 53-degree vertical field of view. Preserve the single take and its pacing, without cuts or a new camera path. Keep world geometry, object identities and materials stable throughout the camera movement; reveal newly visible surfaces with the same layout and appearance; introduce no extra people or foreground obstacles. Rendering style, stated again because it governs every frame: Photorealistic rendering with real-camera optics: shallow depth of field that separates the sharp near subject from a softly blurred background, diffuse low-contrast light with soft glowing specular highlights and lifted shadows, cool desaturated blue-grey grading with muted warm amber accents, misty atmospheric perspective softening the distance, wet or glossy reflective surfaces where the setting allows and finely textured matte materials elsewhere, natural human anatomy; no proxy colours, wireframes, block figures or game UI. No interface overlays, captions, watermarks, dialogue or music.
39
+
40
+ overall_soundscape:
41
+ N/A
42
+
43
+ non_diegetic_music:
44
+ N/A
episodes/unverified_first_frame/city-carry/views/follow/colored-obb/render-profile.json ADDED
@@ -0,0 +1,111 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "backend": {
3
+ "actual": "cpu",
4
+ "encoder": "FFmpeg libx264 medium CRF12 yuv420p, one thread",
5
+ "renderer": "Unmodified repr-solid-obb render_frame, NumPy/Pillow",
6
+ "requested": "cpu",
7
+ "skillSourceSha256": "19328ae402a17f04ff7d24af1eaf032338dcd5beb4ad5597e9deee44ee493097"
8
+ },
9
+ "camera": "follow",
10
+ "compositing": {
11
+ "alpha": 0.5,
12
+ "baseVideoSha256": "f9939a9bc6c8c657295e699589c259df6537d60c24a2006438f9920f272da1dc",
13
+ "cameraSha256": "e1f14696a2ba9034f795e66bf30c8d4e915742ebf1a6c6ec44b78596df17cf3d",
14
+ "episode_dir": "../../artifacts_new/diverse200-refined-animals-20260918/solid-obb-20260918/input/episodes/dv200-109-city-carry/follow",
15
+ "fill_labels": [
16
+ "ambient-cart",
17
+ "npc-01",
18
+ "npc-02",
19
+ "npc-03",
20
+ "player"
21
+ ],
22
+ "fps": 30,
23
+ "frames": [
24
+ 0,
25
+ 149
26
+ ],
27
+ "front_alpha": 0.6,
28
+ "front_style": "white",
29
+ "fullSequenceMedia": "video.mp4 only",
30
+ "independentCheckerSha256": "27e42ba9b52bf547c1599d6240567308bbe5636f8480b2a125f3bdd33b0d2c9f",
31
+ "limits": [
32
+ "Any OBB crossing z=-0.05 retains its original depth-tested wireframe.",
33
+ "Wire edges within translucent boxes remain visible; opaque geometry occludes them."
34
+ ],
35
+ "metricDepth": "Nearest positive-opacity displayed wire, opaque scene or depth-tested OBB face.",
36
+ "obbSha256": "251480fdd8521babf20a6ccfda2cceb5a771b251e33c77150168a0d8e04ed634",
37
+ "object_alpha": 0.5,
38
+ "object_front_alpha": 0.6,
39
+ "occlusion": {
40
+ "allFacesDepthTested": true,
41
+ "baseAlpha": 0.5,
42
+ "epsilonMetres": "min(0.005, 0.001 + sceneDepth * 0.000001)",
43
+ "farWhiteAlpha": 0.25,
44
+ "farWhiteDepthTested": true,
45
+ "frontAlpha": 0.6,
46
+ "obbBlending": "Original far-to-near alpha compositing; no OBB nesting or mutual-occlusion filter",
47
+ "sceneDepth": "Original GPU wire + opaque scene, before translucent face composition.",
48
+ "wireframe": "Original GPU geometry uses depthTest=true, depthWrite=true."
49
+ },
50
+ "parentSkillRendererSha256": "0d5b4aaf84ba1b8232d68c02716b944011ed6ea22017a0d06b3965da7172509e",
51
+ "people_labels": "person,horse,fish,dog,cat,rabbit,bird,duck,animal",
52
+ "previousVideoSha256": "7231a92a99f6a8183ce09f93e3425972f17c06da591d7d0b9c7b6b0b72d4c62f",
53
+ "rendererSha256": "e4390f2c334b34852e7ae3c0b8a83e6fda75f7cd1cd54f7259fa0a94c8885883",
54
+ "representation": "colored-obb",
55
+ "skillDeviation": "User requested opaque-surface occlusion: depth-test the far white face; replace 3 percent + 5cm scene tolerance with capped millimetre tolerance. All other geometry, alpha, painter ordering and near-plane rules retained.",
56
+ "style": "repr-solid-obb-pT-vT-opaque-occlusion-only-20260920",
57
+ "temporaryFramesRetained": false,
58
+ "tol": 1e-06
59
+ },
60
+ "input": {
61
+ "alpha": 0.5,
62
+ "baseVideoSha256": "f9939a9bc6c8c657295e699589c259df6537d60c24a2006438f9920f272da1dc",
63
+ "cameraSha256": "e1f14696a2ba9034f795e66bf30c8d4e915742ebf1a6c6ec44b78596df17cf3d",
64
+ "episode_dir": "../../artifacts_new/diverse200-refined-animals-20260918/solid-obb-20260918/input/episodes/dv200-109-city-carry/follow",
65
+ "fill_labels": [
66
+ "ambient-cart",
67
+ "npc-01",
68
+ "npc-02",
69
+ "npc-03",
70
+ "player"
71
+ ],
72
+ "fps": 30,
73
+ "frames": [
74
+ 0,
75
+ 149
76
+ ],
77
+ "front_alpha": 0.6,
78
+ "front_style": "white",
79
+ "fullSequenceMedia": "video.mp4 only",
80
+ "limits": [
81
+ "Any OBB crossing z=-0.05 retains its base wireframe, following the skill.",
82
+ "Original wire edges can show through translucent fill.",
83
+ "Translucent far-side white tint has no scene-depth test, following the skill."
84
+ ],
85
+ "metricDepth": "Existing nearest positive-opacity geometry depth remains valid because all faces still have positive opacity.",
86
+ "obbSha256": "251480fdd8521babf20a6ccfda2cceb5a771b251e33c77150168a0d8e04ed634",
87
+ "object_alpha": 0.5,
88
+ "object_front_alpha": 0.6,
89
+ "people_labels": "person,horse,fish,dog,cat,rabbit,bird,duck,animal",
90
+ "representation": "colored-obb",
91
+ "reusedMetricDepthIndexSha256": "39dfc861a06520635a91d6725fdf88ad5794b8c99514a69948273c5bfd92d100",
92
+ "skillSourceSha256": "19328ae402a17f04ff7d24af1eaf032338dcd5beb4ad5597e9deee44ee493097",
93
+ "style": "repr-solid-obb-pT-vT-20260918",
94
+ "temporaryFramesRetained": false,
95
+ "tol": 0.03
96
+ },
97
+ "opaqueOcclusionRevision": "repr-solid-obb-pT-vT-opaque-occlusion-only-20260920",
98
+ "priorOutputProfile": "../../artifacts_new/diverse200-refined-animals-20260918/translucent-obb-20260918/backup/media/episodes/dv200-109-city-carry/follow/colored-obb/render-profile.json",
99
+ "representation": "colored-obb",
100
+ "rgbBackend": "CPU translucent face composition over preserved GPU wire RGB and scene depth",
101
+ "sourceHashes": {
102
+ "cameras.json": "f15dea18d14d4134efca0dff6cc0e2ffcea1dfe1d01a9993d1728c481377caae",
103
+ "first-person/camera.json": "55dc2020d516a38a1c600b6146336d7860bf4e857f5a04259d039f17ef0d8fc7",
104
+ "follow/camera.json": "e1f14696a2ba9034f795e66bf30c8d4e915742ebf1a6c6ec44b78596df17cf3d",
105
+ "frames.jsonl.gz": "251e661dcf4791ce2917c899f21e46030b23c466d5fd86bfd379d11fe154dba8",
106
+ "manifest.json": "e65330501b91358d6441d65a5839dc174437266e82b92bffb840257e64817264",
107
+ "scene.glb": "66c003eac2e6737704c46ae919b831efa905fc4a798d6bcee5af8fa768fa89b1"
108
+ },
109
+ "sourceWireframeProfile": "../../artifacts_new/diverse200-refined-animals-20260918/solid-obb-20260918/backup/representations/episodes/dv200-109-city-carry/follow/colored-obb/render-profile.json",
110
+ "style": "repr-solid-obb-pT-vT-20260918"
111
+ }
episodes/unverified_first_frame/city-carry/views/follow/colored-obb/render.json ADDED
@@ -0,0 +1,50 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha": 0.5,
3
+ "baseVideoSha256": "f9939a9bc6c8c657295e699589c259df6537d60c24a2006438f9920f272da1dc",
4
+ "cameraSha256": "e1f14696a2ba9034f795e66bf30c8d4e915742ebf1a6c6ec44b78596df17cf3d",
5
+ "episode_dir": "../../artifacts_new/diverse200-refined-animals-20260918/solid-obb-20260918/input/episodes/dv200-109-city-carry/follow",
6
+ "fill_labels": [
7
+ "ambient-cart",
8
+ "npc-01",
9
+ "npc-02",
10
+ "npc-03",
11
+ "player"
12
+ ],
13
+ "fps": 30,
14
+ "frames": [
15
+ 0,
16
+ 149
17
+ ],
18
+ "front_alpha": 0.6,
19
+ "front_style": "white",
20
+ "fullSequenceMedia": "video.mp4 only",
21
+ "independentCheckerSha256": "27e42ba9b52bf547c1599d6240567308bbe5636f8480b2a125f3bdd33b0d2c9f",
22
+ "limits": [
23
+ "Any OBB crossing z=-0.05 retains its original depth-tested wireframe.",
24
+ "Wire edges within translucent boxes remain visible; opaque geometry occludes them."
25
+ ],
26
+ "metricDepth": "Nearest positive-opacity displayed wire, opaque scene or depth-tested OBB face.",
27
+ "obbSha256": "251480fdd8521babf20a6ccfda2cceb5a771b251e33c77150168a0d8e04ed634",
28
+ "object_alpha": 0.5,
29
+ "object_front_alpha": 0.6,
30
+ "occlusion": {
31
+ "allFacesDepthTested": true,
32
+ "baseAlpha": 0.5,
33
+ "epsilonMetres": "min(0.005, 0.001 + sceneDepth * 0.000001)",
34
+ "farWhiteAlpha": 0.25,
35
+ "farWhiteDepthTested": true,
36
+ "frontAlpha": 0.6,
37
+ "obbBlending": "Original far-to-near alpha compositing; no OBB nesting or mutual-occlusion filter",
38
+ "sceneDepth": "Original GPU wire + opaque scene, before translucent face composition.",
39
+ "wireframe": "Original GPU geometry uses depthTest=true, depthWrite=true."
40
+ },
41
+ "parentSkillRendererSha256": "0d5b4aaf84ba1b8232d68c02716b944011ed6ea22017a0d06b3965da7172509e",
42
+ "people_labels": "person,horse,fish,dog,cat,rabbit,bird,duck,animal",
43
+ "previousVideoSha256": "7231a92a99f6a8183ce09f93e3425972f17c06da591d7d0b9c7b6b0b72d4c62f",
44
+ "rendererSha256": "e4390f2c334b34852e7ae3c0b8a83e6fda75f7cd1cd54f7259fa0a94c8885883",
45
+ "representation": "colored-obb",
46
+ "skillDeviation": "User requested opaque-surface occlusion: depth-test the far white face; replace 3 percent + 5cm scene tolerance with capped millimetre tolerance. All other geometry, alpha, painter ordering and near-plane rules retained.",
47
+ "style": "repr-solid-obb-pT-vT-opaque-occlusion-only-20260920",
48
+ "temporaryFramesRetained": false,
49
+ "tol": 1e-06
50
+ }
episodes/unverified_first_frame/city-carry/views/follow/colored-obb/sample-time.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "wallSeconds": 64.94449463102501,
3
+ "reusedApprovedRender": false,
4
+ "scope": "CPU decode, original alpha blending with opaque depth test, new displayed depth, H264 encoding and independent verification; previously recorded GPU inputs reused."
5
+ }
episodes/unverified_first_frame/city-carry/views/follow/colored-obb/sample.json ADDED
@@ -0,0 +1,144 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "assets": "../../../scene/scene.glb",
3
+ "bytes": 1252041,
4
+ "camera": "follow",
5
+ "cameraData": "../../../cameras/follow/camera.json",
6
+ "cameraIndex": "../../../cameras/cameras.json",
7
+ "cameras": "../../../cameras/follow/camera.json",
8
+ "colorMap": "color-map.json",
9
+ "depth": null,
10
+ "depthAvailable": false,
11
+ "description": "video.description.txt",
12
+ "descriptionMetadata": "video.description.json",
13
+ "directory": ".",
14
+ "durationSeconds": 5,
15
+ "engineTrace": "../../../logs/engine-trace.jsonl.gz",
16
+ "episodeId": "dv200-109-city-carry",
17
+ "events": "../../../logs/events.json",
18
+ "fps": 30,
19
+ "frameCount": 150,
20
+ "frameMapping": "video frame i = state frame i = camera frames[i]",
21
+ "frames": 150,
22
+ "height": 720,
23
+ "hiddenEntityIds": [],
24
+ "manifest": "../../../manifest.json",
25
+ "metadata": "sample.json",
26
+ "obbData": "obb-frames.jsonl.gz",
27
+ "obbFrames": "obb-frames.jsonl.gz",
28
+ "opaqueOcclusionRevision": "repr-solid-obb-pT-vT-opaque-occlusion-only-20260920",
29
+ "pathBase": "sample-relative",
30
+ "perspective": "third-person",
31
+ "preview": "preview.png",
32
+ "referenceVideoSha256": "af5abc9b49d9ca0c574d4d36746d45599a79ba8b643f49e8af3824f86bedda38",
33
+ "renderDeclaration": "render.json",
34
+ "renderManifest": "render.json",
35
+ "renderProfile": "render-profile.json",
36
+ "representation": "colored-obb",
37
+ "representationPolicy": {
38
+ "allAnimalsUseObb": true,
39
+ "allSelectedObbs": "translucent, no opaque class",
40
+ "animalExceptionReason": "Latest request includes animals such as rabbits in OBB; all animal classes selected at true size, including formerly small fish/horse.",
41
+ "animalMinimumPixelException": true,
42
+ "boundsInflated": false,
43
+ "complexObjectsOnly": true,
44
+ "front": "white face on authored local -Z",
45
+ "limits": [
46
+ "Translucent fills retain source wire edges, including old white edges.",
47
+ "PIL polygon edges have no antialiasing; alpha blend is in sRGB."
48
+ ],
49
+ "minimumFirstFrameShortSidePixels": {
50
+ "animals": null,
51
+ "nonAnimals": 32
52
+ },
53
+ "nearPlaneRule": "Any corner behind z=-0.05 skips solid fill and preserves the wireframe input, exactly as in the skill.",
54
+ "nonAnimalSelection": "Preserve previous selection: a visible first-frame edge footprint below 32 px in either camera retains canonical solid for the whole episode.",
55
+ "opaqueOcclusion": {
56
+ "allFacesDepthTested": true,
57
+ "bodyAlpha": 0.5,
58
+ "epsilonMetres": "min(0.005, 0.001 + sceneDepth * 0.000001)",
59
+ "farWhiteAlpha": 0.25,
60
+ "farWhiteDepthTested": true,
61
+ "frontAlpha": 0.6,
62
+ "obbBlending": "Original far-to-near alpha compositing; no nesting or mutual-occlusion filter"
63
+ },
64
+ "otherSelectedObjects": {
65
+ "bodyAlpha": 0.5,
66
+ "frontAlpha": 0.6
67
+ },
68
+ "peopleAndAnimals": {
69
+ "bodyAlpha": 0.5,
70
+ "frontAlpha": 0.6,
71
+ "labels": [
72
+ "person",
73
+ "animal",
74
+ "bird",
75
+ "cat",
76
+ "dog",
77
+ "duck",
78
+ "fish",
79
+ "horse",
80
+ "rabbit"
81
+ ]
82
+ },
83
+ "skill": "translucent-obb-20260918/source/repr-solid-obb/SKILL.md",
84
+ "storage": {
85
+ "depthAndMetadataRetained": true,
86
+ "fullFramePngSequenceRetained": false,
87
+ "fullSequenceMedia": [
88
+ "video.mp4"
89
+ ],
90
+ "galleryFrames": [
91
+ 0,
92
+ 75,
93
+ 149
94
+ ],
95
+ "solidMp4Retained": false
96
+ },
97
+ "supportsAndSimpleObjects": "Platforms, stairs, doors, simple props remain solids; fishing segments remain lines.",
98
+ "version": "repr-solid-obb-pT-vT-opaque-occlusion-only-20260920"
99
+ },
100
+ "representationStyle": "repr-solid-obb-pT-vT-opaque-occlusion-only-20260920",
101
+ "sampleId": "dv200-109-city-carry/follow/colored-obb",
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1
+ Third-person follow view. Old Town Market: Carrying Goods Through a Narrow Alley · New Layout D. A narrow old-town market with stone facades, stalls, awnings and handcarts. The same five-second state sequence is used, retaining all people, animals, vehicles, and interactive objects.
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@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ AWM_PROXY_CONTROL. One visual reference accompanies this text. <Video 1> is the conditioning proxy video: treat it as the exact spatiotemporal reference for where every subject is, how large it is and how it moves, but never as an appearance template or literal target geometry. Each subject's position and motion come from <Video 1>. Every subject's appearance comes from the text below, rendered consistently in the worldview and art direction it describes. The whole take is rendered in this style, from the first frame to the last: Photorealistic rendering with real-camera optics: shallow depth of field that separates the sharp near subject from a softly blurred background, diffuse low-contrast light with soft glowing specular highlights and lifted shadows, cool desaturated blue-grey grading with muted warm amber accents, misty atmospheric perspective softening the distance, wet or glossy reflective surfaces where the setting allows and finely textured matte materials elsewhere, natural human anatomy; no proxy colours, wireframes, block figures or game UI.
2
+
3
+ Human proxies in <Video 1> provide only framewise root position, coarse occupied scale, and whole-body root orientation, which should be followed closely. The proxy figure keeps ONE fixed upright pose for the whole clip: that pose is not an action and carries no information about sitting, crouching, riding, reaching or any limb articulation. They carry no information about character appearance and do not represent identity, face, hairstyle, clothing, materials, colors, visual effects, anatomy, bones, joints, limb articulation, detailed posture, torso or head pose, hand pose, action phase, or physical contact. Reconstruct each character's appearance from the text, and reconstruct articulated motion from the timestamped text. Never reproduce a human proxy as a skeleton, stick figure, mannequin, node-connected body, or exposed rig. Left and right refer to each person's own body unless explicitly stated as screen direction.
4
+
5
+ Vehicle proxies in <Video 1> provide only framewise position, trajectory, body heading, rotation, and accurate overall length, width, height, and occupied scale; these anchors should be followed closely. They carry no information about vehicle appearance. Never reproduce a vehicle proxy as a wireframe vehicle, cage frame, tubular skeleton, exposed chassis, or low-poly proxy car. Vehicle identity, type, design details, materials, colors, and visual effects are defined by the text.
6
+
7
+ Roads, terrain, buildings, relative depth, rough scale, and layout in <Video 1> provide denser but still approximate structural cues. Conditioning colors, proxy geometry, node markers, rigging structures, and other visualization artifacts must never appear in the final video.
8
+
9
+ When sources conflict, resolve in this order: (1) geometry, camera, position and motion follow <Video 1>; (2) the worldview, art direction and overall style, and every subject's identity, appearance and materials, follow the text; (3) the timestamped text defines the concrete events, actions and rewrite targets within those constraints.
10
+
11
+ Clip contract: this clip is the very beginning of the take - nothing precedes it. The first frame of the target reproduces frame 0 of <Video 1> in the appearance the text describes, and the clip continues directly from it while performing the timestamped actions.
12
+
13
+ subject_definitions:
14
+ <Video 1> is the conditioning proxy video of the same 5-second shot (its role is fixed by the control block above). The clip contains exactly 4 blue mannequin proxies standing for <Subject 1> (the protagonist), <Subject 5> (independently moving adult participant 1), <Subject 6> (independently moving adult participant 2), <Subject 7> (the person pushing the wheeled handcart) and 2 object proxies standing for <Subject 3> (the parcel or cargo crate), <Subject 4> (the wheeled handcart); nothing else in <Video 1> is a person or an interaction object.
15
+ <Subject 1> is the protagonist; in <Video 1> the blue mannequin proxy; use the target appearance described below.
16
+ <Subject 2> is the environment and its fixed spatial arrangement: A narrow old-town market with stone facades, stalls, awnings and handcarts. Realize every recorded structure, terrain feature, body of water, vehicle and interaction object with plausible materials appropriate to this setting. Vehicles and animals in this shot: A wheeled handcart constructed of dark metal and wood, positioned further back in the market aisle - at the start of the clip its front toward the camera. A sturdy wooden crate with a matte finish and visible grain, supported by the pickup stand behind the protagonist. In <Video 1> the same environment layout is represented by flat semantic-colour proxy geometry: approximate structural cues for layout, relative depth and rough scale, never target materials or conditioning colours.
17
+ <Subject 3> is the parcel or cargo crate; in <Video 1> the red box proxy; use the target appearance described below.
18
+ <Subject 4> is the wheeled handcart; in <Video 1> the black solid cart proxy shape; use the target appearance described below.
19
+ <Subject 5> is independently moving adult participant 1; in <Video 1> the blue mannequin proxy that starts on the left of the frame; use the target appearance described below.
20
+ <Subject 6> is independently moving adult participant 2; in <Video 1> the blue mannequin proxy that starts on the right of the frame; use the target appearance described below.
21
+ <Subject 7> is the person pushing the wheeled handcart; in <Video 1> the blue mannequin proxy; use the target appearance described below.
22
+
23
+ summary:
24
+ [reference generation] Generate a 5.00-second continuous shot in <Subject 2> of <Subject 1> lifting a parcel, carrying it forward and placing it on a table, involving <Subject 3> and <Subject 4> and <Subject 5> and <Subject 6> and <Subject 7>. Use <Video 1> for layout, root motion, object trajectories, action timing and the camera path, and realize the scene with the detailed target materials below.
25
+
26
+ retention_analysis:
27
+ <Video 1> (whole-shot spatial and temporal structure): fully_preserved - geometry, camera, placement, root motion and object trajectories follow <Video 1> as a coarse spatiotemporal reference; appearance, limb articulation, detailed posture and physical contact are not encoded in the proxy.
28
+ <Subject 1> (appears in [Shot 1]): partially_preserved - retain the proxy's framewise root position, occupied scale, root orientation, identity continuity and interaction timing from <Video 1>; reconstruct its appearance from the target materials below and its articulated motion from the timeline below.
29
+ <Subject 2> (appears in [Shot 1]): partially_preserved - retain terrain, object layout and architectural forms from <Video 1>; surfaces, materials and lighting come from the target materials below.
30
+ <Subject 3> (appears in [Shot 1]): partially_preserved - retain position, scale, trajectory and interaction role from <Video 1>; realize the object as seen in the target materials below, one continuous object throughout.
31
+ <Subject 4> (appears in [Shot 1]): partially_preserved - retain position, scale, trajectory and interaction role from <Video 1>; realize the object as seen in the target materials below, one continuous object throughout.
32
+ <Subject 5> (appears in [Shot 1]): partially_preserved - retain the proxy's framewise root position, occupied scale, root orientation, identity continuity and interaction timing from <Video 1>; reconstruct its appearance from the target materials below and its articulated motion from the timeline below.
33
+ <Subject 6> (appears in [Shot 1]): partially_preserved - retain the proxy's framewise root position, occupied scale, root orientation, identity continuity and interaction timing from <Video 1>; reconstruct its appearance from the target materials below and its articulated motion from the timeline below.
34
+ <Subject 7> (appears in [Shot 1]): partially_preserved - retain the proxy's framewise root position, occupied scale, root orientation, identity continuity and interaction timing from <Video 1>; reconstruct its appearance from the target materials below and its articulated motion from the timeline below.
35
+
36
+ detailed_description:
37
+ Photorealistic rendering with real-camera optics: shallow depth of field that separates the sharp near subject from a softly blurred background, diffuse low-contrast light with soft glowing specular highlights and lifted shadows, cool desaturated blue-grey grading with muted warm amber accents, misty atmospheric perspective softening the distance, wet or glossy reflective surfaces where the setting allows and finely textured matte materials elsewhere, natural human anatomy; no proxy colours, wireframes, block figures or game UI.
38
+ [Shot 1] <Subject 2>, the setting: A narrow old-town market with stone facades, stalls, awnings and handcarts. Realize every recorded structure, terrain feature, body of water, vehicle and interaction object with plausible materials appropriate to this setting. Vehicles and animals in this shot: A wheeled handcart constructed of dark metal and wood, positioned further back in the market aisle - at the start of the clip its front toward the camera. A sturdy wooden crate with a matte finish and visible grain, supported by the pickup stand behind the protagonist. <Subject 1>, the protagonist, has the following target appearance: A realistic adult street vendor with grey-streaked black hair, wearing a khaki apron, tan chinos, and rubber clogs, standing in the foreground, seen only from behind - at the start of the clip facing away from the camera; keep this identity and outfit consistent throughout the shot. <Subject 3> is the parcel or cargo crate, realized with the materials above. <Subject 4> is the wheeled handcart, pushed by <Subject 7> who walks directly behind it with both hands on its handle - the cart never moves on its own and the two move together as one unit, realized with the materials above. <Subject 5> (independently moving adult participant 1) is a realistic adult tourist with curly copper hair under a straw hat, wearing a coral floral shirt, beige shorts, and sandals, standing to the left - at the start of the clip facing toward the camera, and keeps exactly this appearance. <Subject 6> (independently moving adult participant 2) is a realistic adult mechanic with auburn hair tied back, wearing navy work overalls and steel-toe boots, standing to the right, seen only from behind - at the start of the clip facing away from the camera, and keeps exactly this appearance. <Subject 7> (the person pushing the wheeled handcart) is a realistic adult bicycle courier with cropped black hair, wearing a mustard windbreaker, slate cargo shorts, and ivory sneakers, standing in the distance - at the start of the clip facing toward the camera, and keeps exactly this appearance. All people keep the same face, build and clothing throughout, with clothing folds responding naturally to movement. The action follows <Video 1> according to this timeline: From 00:00.000 to 00:00.733, the protagonist bends toward the parcel and takes hold of it; independently moving adult participant 2 moves about half a metre along its route; independently moving adult participant 3 moves about half a metre along its route; the cart moves about half a metre along its route. From 00:00.733 to 00:01.467, the protagonist lifts the parcel off its stand; independently moving adult participant 1 moves about half a metre along its route; independently moving adult participant 2 moves about half a metre along its route; independently moving adult participant 3 moves about half a metre along its route; the cart moves about half a metre along its route. From 00:01.467 to 00:03.967, the protagonist carries the parcel forward; the protagonist moves about 9 metres along its route; independently moving adult participant 1 moves about one and a half metres along its route; independently moving adult participant 2 moves about 2 metres along its route; independently moving adult participant 3 moves about 2 metres along its route; the cart moves about 2 metres along its route. From 00:03.967 to 00:04.567, the protagonist lowers the parcel onto the table; independently moving adult participant 1 moves about half a metre along its route; independently moving adult participant 2 moves about half a metre along its route; independently moving adult participant 3 moves about half a metre along its route; the cart moves about half a metre along its route. From 00:04.567 to 00:05.000, the parcel rests on the table and the protagonist lets go of it; independently moving adult participant 1 moves a short distance along its route; independently moving adult participant 2 moves about half a metre along its route; independently moving adult participant 3 moves about half a metre along its route; the cart moves about half a metre along its route. Recorded relations: the protagonist holds the parcel or cargo crate from 00:00.733 to 00:04.567. The parcel or cargo crate is one continuous object throughout and comes to rest about half a metre from the protagonist. The wheeled handcart is one continuous object throughout and ends the clip about 4 metres from the protagonist. The protagonist in the foreground covers independently moving adult participant 3 from about 0.7 s to 1.8 s; the wheeled handcart in the foreground covers independently moving adult participant 3 from about 0.0 s to 1.8 s; the wheeled handcart in the foreground covers independently moving adult participant 3 from about 2.4 s to 2.9 s. Keep the reference's fixed 53-degree vertical field of view. Preserve the single take and its pacing, without cuts or a new camera path. Keep world geometry, object identities and materials stable throughout the camera movement; reveal newly visible surfaces with the same layout and appearance; introduce no extra people or foreground obstacles. Rendering style, stated again because it governs every frame: Photorealistic rendering with real-camera optics: shallow depth of field that separates the sharp near subject from a softly blurred background, diffuse low-contrast light with soft glowing specular highlights and lifted shadows, cool desaturated blue-grey grading with muted warm amber accents, misty atmospheric perspective softening the distance, wet or glossy reflective surfaces where the setting allows and finely textured matte materials elsewhere, natural human anatomy; no proxy colours, wireframes, block figures or game UI. No interface overlays, captions, watermarks, dialogue or music.
39
+
40
+ overall_soundscape:
41
+ N/A
42
+
43
+ non_diegetic_music:
44
+ N/A
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+ Third-person follow view. Old Town Market: Carrying Goods Through a Narrow Alley · New Layout D. A narrow old-town market with stone facades, stalls, awnings and handcarts. The same five-second state sequence is used, retaining all people, animals, vehicles, and interactive objects.
episodes/unverified_first_frame/city-carry/views/follow/prompt-context/scene-context.json ADDED
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+ {
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+ "action": "carry",
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+ "cameras": {
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+ "follow": "../../../cameras/follow/camera.json"
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+ },
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+ "difficulty": null,
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+ "durationSeconds": 5,
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+ "engineActionSentence": "Old Town Market: Carrying Goods Through a Narrow Alley · New Layout D. A narrow old-town market with stone facades, stalls, awnings and handcarts. The same five-second state sequence is used, retaining all people, animals, vehicles, and interactive objects.",
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+ "engineFacts": {
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+ "entityCounts": {
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+ "building": 14,
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+ "cart": 1,
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+ "crate": 1,
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+ "ground": 1,
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+ "person": 4,
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+ "road": 1,
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+ "table": 2
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+ },
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+ "entityInventory": [
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+ {
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+ "description": "Old Town Market terrain",
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+ "dynamic": false,
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+ "id": "ground",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "ground"
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+ },
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+ {
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+ "description": "road surface",
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+ "dynamic": false,
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+ "id": "road",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "road"
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+ },
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+ {
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+ "description": "an individual street building",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual street building",
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+ "dynamic": false,
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+ "id": "building-1",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual street building",
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+ "dynamic": false,
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+ "id": "building-2",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual street building",
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+ "dynamic": false,
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+ "id": "building-3",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual street building",
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+ "dynamic": false,
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+ "id": "building-4",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual street building",
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+ "dynamic": false,
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+ "id": "building-5",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual street building",
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+ "dynamic": false,
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+ "id": "building-6",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual street building",
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+ "dynamic": false,
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+ "id": "building-7",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual market stall with an awning",
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+ "dynamic": false,
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+ "id": "market-stall-0",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual market stall with an awning",
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+ "dynamic": false,
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+ "id": "market-stall-1",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual market stall with an awning",
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+ "dynamic": false,
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+ "id": "market-stall-2",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual market stall with an awning",
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+ "dynamic": false,
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+ "id": "market-stall-3",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual market stall with an awning",
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+ "dynamic": false,
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+ "id": "market-stall-4",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "an individual market stall with an awning",
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+ "dynamic": false,
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+ "id": "market-stall-5",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "building"
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+ },
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+ {
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+ "description": "the protagonist",
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+ "dynamic": true,
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+ "id": "player",
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+ "initialVisible": true,
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+ "interactionCandidate": true,
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+ "relatedEntityId": null,
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+ "semanticLabel": "person"
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+ },
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+ {
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+ "description": "a parcel or cargo crate",
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+ "dynamic": true,
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+ "id": "parcel",
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+ "initialVisible": true,
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+ "interactionCandidate": true,
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+ "relatedEntityId": null,
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+ "semanticLabel": "crate"
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+ },
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+ {
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+ "description": "pickup-stand",
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+ "dynamic": false,
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+ "id": "pickup-stand",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "table"
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+ },
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+ {
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+ "description": "destination-table",
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+ "dynamic": false,
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+ "id": "destination-table",
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+ "initialVisible": true,
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+ "interactionCandidate": false,
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+ "relatedEntityId": null,
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+ "semanticLabel": "table"
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+ },
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+ {
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+ "description": "an independently moving adult participant",
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+ "dynamic": true,
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+ "id": "npc-01",
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+ "initialVisible": true,
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+ "interactionCandidate": true,
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+ "relatedEntityId": null,
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+ "semanticLabel": "person"
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+ },
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+ {
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+ "description": "an independently moving adult participant",
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+ "dynamic": true,
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+ "id": "npc-02",
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+ "initialVisible": true,
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+ "interactionCandidate": true,
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+ "relatedEntityId": null,
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+ "semanticLabel": "person"
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+ },
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+ {
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+ "description": "an independently moving adult participant",
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+ "dynamic": true,
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+ "id": "npc-03",
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+ "initialVisible": true,
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+ "interactionCandidate": true,
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+ "relatedEntityId": null,
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+ "semanticLabel": "person"
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+ },
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+ {
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+ "description": "a wheeled handcart",
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+ "dynamic": true,
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+ "id": "ambient-cart",
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+ "initialVisible": true,
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+ "interactionCandidate": true,
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+ "relatedEntityId": null,
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+ "semanticLabel": "cart"
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+ }
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+ ]
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+ },
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+ "environment": {
239
+ "category": "city",
240
+ "categoryName": "City",
241
+ "description": "A narrow old-town market with stone facades, stalls, awnings and handcarts.",
242
+ "id": "old-town",
243
+ "name": "Old Town Market"
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+ },
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+ "episodeId": "dv200-109-city-carry",
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+ "fps": 30,
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+ "frameCount": 150,
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+ "initialSeed": 918531236,
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+ "interactions": [
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+ "Human-Object Interactions"
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+ ],
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+ "layoutId": "dv200-109-city-carry-layout",
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+ "pathBase": "file-relative",
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+ "phaseSynthesis": null,
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+ "sceneId": "dv200-109-city-carry",
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+ "schemaVersion": "benchmark.scene-context.v1",
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+ "seed": 918531236,
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+ "source": {
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+ "assetSha256": "66c003eac2e6737704c46ae919b831efa905fc4a798d6bcee5af8fa768fa89b1",
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+ "assets": "../../../scene/scene.glb",
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+ "cameras": "../../../cameras/cameras.json",
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+ "camerasSha256": "6832c6b93a5e729f1ee487f1516e6ee853f4a457ff3e08e8d7efc6986ea13f53",
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+ "manifest": "../../../manifest.json",
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+ "states": "../../../scene/frames.jsonl.gz"
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+ },
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+ "targetStyle": {
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+ "category": "realistic",
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+ "styleLine": "Photorealistic rendering with real-camera optics: shallow depth of field that separates the sharp near subject from a softly blurred background, diffuse low-contrast light with soft glowing specular highlights and lifted shadows, cool desaturated blue-grey grading with muted warm amber accents, misty atmospheric perspective softening the distance, wet or glossy reflective surfaces where the setting allows and finely textured matte materials elsewhere, natural human anatomy; no proxy colours, wireframes, block figures or game UI.",
269
+ "variant": null
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+ },
271
+ "timeline": [
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+ {
273
+ "description": "The protagonist bends toward the parcel and takes hold of it.",
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+ "endFrameExclusive": 22,
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+ "endSeconds": 0.7333333333333333,
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+ "phase": "reach",
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+ "startFrame": 0,
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+ "startSeconds": 0.0
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+ },
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+ {
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+ "description": "The protagonist lifts the parcel off its stand.",
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+ "endFrameExclusive": 44,
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+ "endSeconds": 1.4666666666666666,
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+ "phase": "lift",
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+ "startFrame": 22,
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+ "startSeconds": 0.7333333333333333
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+ },
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+ {
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+ "description": "The protagonist carries the parcel forward.",
290
+ "endFrameExclusive": 119,
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+ "endSeconds": 3.966666666666667,
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+ "phase": "carry",
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+ "startFrame": 44,
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+ "startSeconds": 1.4666666666666666
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+ },
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+ {
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+ "description": "The protagonist lowers the parcel onto the table.",
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+ "endFrameExclusive": 137,
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+ "endSeconds": 4.566666666666666,
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+ "phase": "place",
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+ "startFrame": 119,
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+ "startSeconds": 3.966666666666667
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+ },
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+ {
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+ "description": "The parcel rests on the table and the protagonist lets go of it.",
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+ "endFrameExclusive": 150,
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+ "endSeconds": 5.0,
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+ "phase": "placed",
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+ "startFrame": 137,
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+ "startSeconds": 4.566666666666666
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+ }
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+ ],
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+ "timelineSource": "interaction.phase segments of frames.jsonl.gz; sentences from the per-action lexicon (the engine ships no phase sentences)",
314
+ "title": "lifting a parcel, carrying it forward and placing it on a table",
315
+ "upstreamName": "Carrying Goods Through a Narrow Alley · New Layout D",
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+ "worldOffset": [
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+ 0,
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+ 0,
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+ 0
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+ ]
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+ }
episodes/unverified_first_frame/city-carry/views/follow/prompt-context/style.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "camera": "follow",
3
+ "category": "realistic",
4
+ "dataset": "unverified_ff_90",
5
+ "episode": "dv200-109-city-carry",
6
+ "pathBase": "file-relative",
7
+ "promptFiles": [
8
+ "../colored-obb/prompt.txt",
9
+ "../mixed/prompt.txt",
10
+ "../white/prompt.txt"
11
+ ],
12
+ "sameAcrossPrompts": true,
13
+ "schemaVersion": "prowbench.style.v1",
14
+ "styleSentence": "Photorealistic rendering with real-camera optics: shallow depth of field that separates the sharp near subject from a softly blurred background, diffuse low-contrast light with soft glowing specular highlights and lifted shadows, cool desaturated blue-grey grading with muted warm amber accents, misty atmospheric perspective softening the distance, wet or glossy reflective surfaces where the setting allows and finely textured matte materials elsewhere, natural human anatomy; no proxy colours, wireframes, block figures or game UI."
15
+ }
episodes/unverified_first_frame/city-carry/views/follow/white/prompt.txt ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ AWM_PROXY_CONTROL. One visual reference accompanies this text. <Video 1> is the conditioning proxy video: treat it as the exact spatiotemporal reference for where every subject is, how large it is and how it moves, but never as an appearance template or literal target geometry. Each subject's position and motion come from <Video 1>. Every subject's appearance comes from the text below, rendered consistently in the worldview and art direction it describes. The whole take is rendered in this style, from the first frame to the last: Photorealistic rendering with real-camera optics: shallow depth of field that separates the sharp near subject from a softly blurred background, diffuse low-contrast light with soft glowing specular highlights and lifted shadows, cool desaturated blue-grey grading with muted warm amber accents, misty atmospheric perspective softening the distance, wet or glossy reflective surfaces where the setting allows and finely textured matte materials elsewhere, natural human anatomy; no proxy colours, wireframes, block figures or game UI.
2
+
3
+ Human proxies in <Video 1> provide framewise root position, occupied scale, whole-body root orientation and COARSE limb articulation: the proxy figure's limbs move with the recorded joints, so follow the timing and direction of its limb motion closely, and take everything finer - hand pose, facial expression, grip and physical contact - from the timestamped text. They carry no information about character appearance and do not represent identity, face, hairstyle, clothing, materials, colors or visual effects. Reconstruct each character's appearance from the text. Never reproduce a human proxy as a block figure, skeleton, stick figure, mannequin, node-connected body, or exposed rig. Left and right refer to each person's own body unless explicitly stated as screen direction.
4
+
5
+ Vehicle proxies in <Video 1> provide only framewise position, trajectory, body heading, rotation, and accurate overall length, width, height, and occupied scale; these anchors should be followed closely. They carry no information about vehicle appearance. Never reproduce a vehicle proxy as a wireframe vehicle, cage frame, tubular skeleton, exposed chassis, or low-poly proxy car. Vehicle identity, type, design details, materials, colors, and visual effects are defined by the text.
6
+
7
+ Roads, terrain, buildings, relative depth, rough scale, and layout in <Video 1> provide denser but still approximate structural cues. Conditioning colors, proxy geometry, node markers, rigging structures, and other visualization artifacts must never appear in the final video.
8
+
9
+ When sources conflict, resolve in this order: (1) geometry, camera, position and motion follow <Video 1>; (2) the worldview, art direction and overall style, and every subject's identity, appearance and materials, follow the text; (3) the timestamped text defines the concrete events, actions and rewrite targets within those constraints.
10
+
11
+ Clip contract: this clip is the very beginning of the take - nothing precedes it. The first frame of the target reproduces frame 0 of <Video 1> in the appearance the text describes, and the clip continues directly from it while performing the timestamped actions.
12
+
13
+ subject_definitions:
14
+ <Video 1> is the conditioning proxy video of the same 5-second shot (its role is fixed by the control block above). The clip contains exactly 4 grey block-figure proxies standing for <Subject 1> (the protagonist), <Subject 5> (independently moving adult participant 1), <Subject 6> (independently moving adult participant 2), <Subject 7> (the person pushing the wheeled handcart) and 2 object proxies standing for <Subject 3> (the parcel or cargo crate), <Subject 4> (the wheeled handcart); nothing else in <Video 1> is a person or an interaction object.
15
+ <Subject 1> is the protagonist; in <Video 1> the grey block-figure proxy; use the target appearance described below.
16
+ <Subject 2> is the environment and its fixed spatial arrangement: A narrow old-town market with stone facades, stalls, awnings and handcarts. Realize every recorded structure, terrain feature, body of water, vehicle and interaction object with plausible materials appropriate to this setting. Vehicles and animals in this shot: A wheeled handcart constructed of dark metal and wood, positioned further back in the market aisle - at the start of the clip its front toward the camera. A sturdy wooden crate with a matte finish and visible grain, supported by the pickup stand behind the protagonist. In <Video 1> the same environment layout is represented by untextured grey proxy geometry: approximate structural cues for layout, relative depth and rough scale, never target materials.
17
+ <Subject 3> is the parcel or cargo crate; in <Video 1> the plain grey proxy solid; use the target appearance described below.
18
+ <Subject 4> is the wheeled handcart; in <Video 1> the plain grey proxy solid; use the target appearance described below.
19
+ <Subject 5> is independently moving adult participant 1; in <Video 1> the grey block-figure proxy that starts on the left of the frame; use the target appearance described below.
20
+ <Subject 6> is independently moving adult participant 2; in <Video 1> the grey block-figure proxy that starts on the right of the frame; use the target appearance described below.
21
+ <Subject 7> is the person pushing the wheeled handcart; in <Video 1> the grey block-figure proxy; use the target appearance described below.
22
+
23
+ summary:
24
+ [reference generation] Generate a 5.00-second continuous shot in <Subject 2> of <Subject 1> lifting a parcel, carrying it forward and placing it on a table, involving <Subject 3> and <Subject 4> and <Subject 5> and <Subject 6> and <Subject 7>. Use <Video 1> for layout, root motion, limb motion, object trajectories, action timing and the camera path, and realize the scene with the detailed target materials below.
25
+
26
+ retention_analysis:
27
+ <Video 1> (whole-shot spatial and temporal structure): fully_preserved - geometry, camera, placement, root motion, recorded limb motion and object trajectories follow <Video 1> as a coarse spatiotemporal reference; appearance, materials and surface detail are not encoded in the proxy.
28
+ <Subject 1> (appears in [Shot 1]): partially_preserved - retain the proxy's framewise root position, occupied scale, root orientation, recorded limb motion, identity continuity and interaction timing from <Video 1>; reconstruct its appearance from the target materials below and render natural human articulation over the recorded block-figure motion.
29
+ <Subject 2> (appears in [Shot 1]): partially_preserved - retain terrain, object layout and architectural forms from <Video 1>; surfaces, materials and lighting come from the target materials below.
30
+ <Subject 3> (appears in [Shot 1]): partially_preserved - retain position, scale, trajectory and interaction role from <Video 1>; realize the object as seen in the target materials below, one continuous object throughout.
31
+ <Subject 4> (appears in [Shot 1]): partially_preserved - retain position, scale, trajectory and interaction role from <Video 1>; realize the object as seen in the target materials below, one continuous object throughout.
32
+ <Subject 5> (appears in [Shot 1]): partially_preserved - retain the proxy's framewise root position, occupied scale, root orientation, recorded limb motion, identity continuity and interaction timing from <Video 1>; reconstruct its appearance from the target materials below and render natural human articulation over the recorded block-figure motion.
33
+ <Subject 6> (appears in [Shot 1]): partially_preserved - retain the proxy's framewise root position, occupied scale, root orientation, recorded limb motion, identity continuity and interaction timing from <Video 1>; reconstruct its appearance from the target materials below and render natural human articulation over the recorded block-figure motion.
34
+ <Subject 7> (appears in [Shot 1]): partially_preserved - retain the proxy's framewise root position, occupied scale, root orientation, recorded limb motion, identity continuity and interaction timing from <Video 1>; reconstruct its appearance from the target materials below and render natural human articulation over the recorded block-figure motion.
35
+
36
+ detailed_description:
37
+ Photorealistic rendering with real-camera optics: shallow depth of field that separates the sharp near subject from a softly blurred background, diffuse low-contrast light with soft glowing specular highlights and lifted shadows, cool desaturated blue-grey grading with muted warm amber accents, misty atmospheric perspective softening the distance, wet or glossy reflective surfaces where the setting allows and finely textured matte materials elsewhere, natural human anatomy; no proxy colours, wireframes, block figures or game UI.
38
+ [Shot 1] <Subject 2>, the setting: A narrow old-town market with stone facades, stalls, awnings and handcarts. Realize every recorded structure, terrain feature, body of water, vehicle and interaction object with plausible materials appropriate to this setting. Vehicles and animals in this shot: A wheeled handcart constructed of dark metal and wood, positioned further back in the market aisle - at the start of the clip its front toward the camera. A sturdy wooden crate with a matte finish and visible grain, supported by the pickup stand behind the protagonist. <Subject 1>, the protagonist, has the following target appearance: A realistic adult street vendor with grey-streaked black hair, wearing a khaki apron, tan chinos, and rubber clogs, standing in the foreground, seen only from behind - at the start of the clip facing away from the camera; keep this identity and outfit consistent throughout the shot. <Subject 3> is the parcel or cargo crate, realized with the materials above. <Subject 4> is the wheeled handcart, pushed by <Subject 7> who walks directly behind it with both hands on its handle - the cart never moves on its own and the two move together as one unit, realized with the materials above. <Subject 5> (independently moving adult participant 1) is a realistic adult tourist with curly copper hair under a straw hat, wearing a coral floral shirt, beige shorts, and sandals, standing to the left - at the start of the clip facing toward the camera, and keeps exactly this appearance. <Subject 6> (independently moving adult participant 2) is a realistic adult mechanic with auburn hair tied back, wearing navy work overalls and steel-toe boots, standing to the right, seen only from behind - at the start of the clip facing away from the camera, and keeps exactly this appearance. <Subject 7> (the person pushing the wheeled handcart) is a realistic adult bicycle courier with cropped black hair, wearing a mustard windbreaker, slate cargo shorts, and ivory sneakers, standing in the distance - at the start of the clip facing toward the camera, and keeps exactly this appearance. All people keep the same face, build and clothing throughout, with clothing folds responding naturally to movement. The action follows <Video 1> according to this timeline: From 00:00.000 to 00:00.733, the protagonist bends toward the parcel and takes hold of it; independently moving adult participant 2 moves about half a metre along its route; independently moving adult participant 3 moves about half a metre along its route; the cart moves about half a metre along its route. From 00:00.733 to 00:01.467, the protagonist lifts the parcel off its stand; independently moving adult participant 1 moves about half a metre along its route; independently moving adult participant 2 moves about half a metre along its route; independently moving adult participant 3 moves about half a metre along its route; the cart moves about half a metre along its route. From 00:01.467 to 00:03.967, the protagonist carries the parcel forward; the protagonist moves about 9 metres along its route; independently moving adult participant 1 moves about one and a half metres along its route; independently moving adult participant 2 moves about 2 metres along its route; independently moving adult participant 3 moves about 2 metres along its route; the cart moves about 2 metres along its route. From 00:03.967 to 00:04.567, the protagonist lowers the parcel onto the table; independently moving adult participant 1 moves about half a metre along its route; independently moving adult participant 2 moves about half a metre along its route; independently moving adult participant 3 moves about half a metre along its route; the cart moves about half a metre along its route. From 00:04.567 to 00:05.000, the parcel rests on the table and the protagonist lets go of it; independently moving adult participant 1 moves a short distance along its route; independently moving adult participant 2 moves about half a metre along its route; independently moving adult participant 3 moves about half a metre along its route; the cart moves about half a metre along its route. Recorded relations: the protagonist holds the parcel or cargo crate from 00:00.733 to 00:04.567. The parcel or cargo crate is one continuous object throughout and comes to rest about half a metre from the protagonist. The wheeled handcart is one continuous object throughout and ends the clip about 4 metres from the protagonist. The protagonist in the foreground covers independently moving adult participant 3 from about 0.7 s to 1.8 s; the wheeled handcart in the foreground covers independently moving adult participant 3 from about 0.0 s to 1.8 s; the wheeled handcart in the foreground covers independently moving adult participant 3 from about 2.4 s to 2.9 s. Keep the reference's fixed 53-degree vertical field of view. Preserve the single take and its pacing, without cuts or a new camera path. Keep world geometry, object identities and materials stable throughout the camera movement; reveal newly visible surfaces with the same layout and appearance; introduce no extra people or foreground obstacles. Rendering style, stated again because it governs every frame: Photorealistic rendering with real-camera optics: shallow depth of field that separates the sharp near subject from a softly blurred background, diffuse low-contrast light with soft glowing specular highlights and lifted shadows, cool desaturated blue-grey grading with muted warm amber accents, misty atmospheric perspective softening the distance, wet or glossy reflective surfaces where the setting allows and finely textured matte materials elsewhere, natural human anatomy; no proxy colours, wireframes, block figures or game UI. No interface overlays, captions, watermarks, dialogue or music.
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+
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+ overall_soundscape:
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+ N/A
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+
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+ non_diegetic_music:
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+ N/A
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