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"boiserie", + "classical" + ], + "source": "catalogue", + "times_spawned": 1, + "last_modified": "2026.03.16-18.12.53" + }, + { + "id": "imported_tripo_36c1f43e-ca51-44a3-8207-0565a60ab15a", + "name": "Coconut palms", + "category": "Imported", + "path": "/Game/ImportedMeshes/tripo_36c1f43e-ca51-44a3-8207-0565a60ab15a/StaticMeshes/tripo_36c1f43e-ca51-44a3-8207-0565a60ab15a.tripo_36c1f43e-ca51-44a3-8207-0565a60ab15a", + "tags": [ + "coco nucifera", + "shore palm", + "fronds", + "realistic", + "bent trunk", + "beach", + "summer", + "nature", + "exotic", + "foliage", + "exotic plant", + "vegetation", + "landscape", + "palm tree", + "shore", + "coastal", + "island", + "beach tree", + "tropical tree", + "tropical" + ], + "source": "imported", + "times_spawned": 1, + "imported_at": "2026.03.16-18.13.30", + "last_modified": "2026.03.16-19.15.15" + }, + { + "id": "paris_environment_fountain_01_sm_fountain_01_04_basin_01", + "name": "Fountain 01 04 Basin 01", + "category": "Paris/Fountain_01", + "path": "/Game/Paris/Environment/Fountain_01/sm_Fountain_01_04_Basin_01", + "tags": [ + "water", + "decoration", + "basin", + "fountain", + "european", + "park", + "paris", + "haussmann", + "french" + ], + "source": "catalogue", + "times_spawned": 6, + "last_modified": "2026.03.16-19.15.14" + }, + { + "id": "citypark_meshes_flora_grass_sm_grass01_5", + "name": "grass01 5", + "category": "CityPark/Flora/Grass", + "path": "/Game/CityPark/Meshes/Flora/Grass/SM_grass01_5", + "tags": [ + "ground cover", + "grass", + "urban", + "lawn", + "vegetation", + "park", + "city", + "outdoor", + "manicured", + "lush", + "green", + "herbage", + "patch", + "exterior", + "realistic", + "grass patch", + "nature", + "botanical", + "blade", + "turf", + "lawn segment", + "foliage", + "sod", + "landscaping", + "garden", + "meadow", + "greenery", + "3d asset", + "clump" + ], + "source": "catalogue", + "times_spawned": 1, + "last_modified": "2026.03.16-19.15.14" } ] } \ No newline at end of file diff --git a/benchmark/references/Hard/lasergirls/metadata.md b/benchmark/references/Hard/lasergirls/metadata.md new file mode 100644 index 000000000..279f98a8e --- /dev/null +++ b/benchmark/references/Hard/lasergirls/metadata.md @@ -0,0 +1,42 @@ +# Laser Girls - Neon Portrait + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Indoor | +| Domain | HARD | +| Setting | Tech/maker event, neon-lit | +| Time of Day | Night (indoor) | +| Mood | Futuristic, playful, high-tech | + +## Key Elements +1. **Two children** — young girls in dark clothing facing camera +2. **LED glasses** — green-rimmed and pink-rimmed light-up frames +3. **Glowing orb** — held in hand, small LED sphere +4. **EL wire** — green and orange electroluminescent wire on clothing +5. **Hexagonal backdrop** — blue/purple honeycomb LED wall pattern +6. **Neon colour palette** — green, pink, purple, blue, orange glow +7. **Dark exposure** — low-key lighting, subjects lit primarily by LEDs + +## Difficulty Notes +This is a "Hard" benchmark because it combines: +- Multiple subjects (two people) +- Complex mixed-colour LED lighting +- Transparent/glowing materials (glasses, orb, EL wire) +- Dark environment with extreme contrast +- Geometric patterned background + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/Hard/lasergirls/reference.jpeg \ + --domain HARD \ + --llm claude-code +``` + +## What Success Looks Like +- Two figures visible with LED glasses +- Neon colour glow on faces and clothing +- Hexagonal pattern visible in background +- Dark overall exposure with bright LED highlights diff --git a/benchmark/references/Hard/lasergirls/reference.jpeg b/benchmark/references/Hard/lasergirls/reference.jpeg new file mode 100644 index 000000000..a06608c4e --- /dev/null +++ b/benchmark/references/Hard/lasergirls/reference.jpeg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:87df3da5417a0beb45664116fdf8efe4421eaf0e6859f9e8900b422696248c8c +size 205754 diff --git a/benchmark/references/README.md b/benchmark/references/README.md new file mode 100644 index 000000000..d0f1e4f5a --- /dev/null +++ b/benchmark/references/README.md @@ -0,0 +1,88 @@ +# Benchmark Reference Images + +Reference images for brain testing. Each scene has its own directory with: +- `reference.jpg` — the target image (what we're trying to match) +- `reference-low.jpg` — quick preview (optional) +- `metadata.md` — scene characterisation, key elements, brain config +- `breakdown.md` — detailed element segmentation (for complex scenes) + +## Directory Structure + +``` +benchmark/ +├── references/ Source reference images (this directory) +│ ├── sea/ +│ │ ├── sunset-oswego/ ★ First test target (Lake Ontario sunset) +│ │ └── ocean-horizon/ Aerial tropical beach, turquoise water +│ ├── sky/ +│ │ ├── sunset-dramatic/ Dramatic fiery sunset +│ │ ├── tappan-zee-sunset/ Bridge at sunset (Hudson River) +│ │ ├── golden-hour-clouds/ Warm-lit cloud formations +│ │ ├── mojave-twilight/ Desert twilight (California) +│ │ ├── san-diego-sunset/ Pacific coast sunset +│ │ ├── fiery-silhouette/ City silhouette against fire sky +│ │ ├── city-sunrise/ 6AM urban sunrise +│ │ └── sunset-2007/ Classic sunset +│ ├── urban/ +│ │ ├── paris-eiffel/ ★ Golden hour Seine (27 elements) +│ │ └── blade-runner/ Cyberpunk city, rain, neon, flying vehicles +│ ├── food/ +│ │ └── spaghetti/ Carbonara food photography +│ ├── parks/ +│ │ └── central-park/ NYC urban park (Cesium) +│ ├── portrait/ +│ │ ├── alysson/ Lab portrait, fluorescent lighting +│ │ ├── jamest-seated/ Seated in armchair, warm tungsten +│ │ ├── jamest-standing/ Standing by piano, elegant interior +│ │ ├── joi-close/ BR2049 hologram close-up, neon purple +│ │ ├── joi-wide/ BR2049 hologram wide, pink fog +│ │ ├── dbrin-xian/ Museum portrait, terracotta warriors +│ │ ├── portrait-2007/ Stage profile, dramatic spot lighting +│ │ └── distracted-boyfriend/ Street group (3 people), shallow DoF +│ ├── nature/ +│ │ └── mountain/ Mountain valley, boreal forest, snow peaks +│ ├── weather/ +│ │ └── fog/ Churning ocean foam, turbulent water +│ └── Hard/ +│ └── lasergirls/ Neon LED portrait, two children, hex backdrop +├── lighting_presets/ 10 PBR lighting benchmark presets +├── outputs/ Generated iteration outputs (gitignored) +└── scores/ Scoring results (gitignored) +``` + +## Coverage Summary + +| Domain | Count | Scenes | +|--------|-------|--------| +| sky | 8 | sunset-2007, sunset-dramatic, tappan-zee-sunset, golden-hour-clouds, mojave-twilight, san-diego-sunset, fiery-silhouette, city-sunrise | +| portrait | 8 | alysson, jamest-seated, jamest-standing, joi-close, joi-wide, dbrin-xian, portrait-2007, distracted-boyfriend | +| sea | 2 | sunset-oswego, ocean-horizon | +| urban | 2 | paris-eiffel, blade-runner | +| food | 1 | spaghetti | +| nature | 1 | mountain | +| parks | 1 | central-park | +| weather | 1 | fog | +| Hard | 1 | lasergirls | +| **Total** | **25** | **across 9 domains** | + +## Priority Test Scenes + +| # | Scene | Domain | Difficulty | Notes | +|---|-------|--------|------------|-------| +| 1 | **sunset-oswego** | SKY + SEA | Medium | Our original test target | +| 2 | **paris-eiffel** | GEO + SKY + WATER | Hard | Full Cesium + living replacement | +| 3 | **central-park** | EARTH + SKY | Medium | Cesium + City Parks Pack | +| 4 | **spaghetti** | FOOD | Medium | Indoor, food photography | +| 5 | **mountain** | EARTH + SKY | Easy | Landscape + atmosphere | + +## Adding a New Scene + +1. Create a directory: `benchmark/references/{domain}/{scene-name}/` +2. Add `reference.jpg` (or `.png`) +3. Add `metadata.md` with scene characterisation and brain config +4. Optionally add `reference-low.jpg`, `reference.mask.png`, `breakdown.md` + +## Storage Notes + +These are binary files. For the git repo, only small/compressed versions are tracked. +Full-resolution originals can go in `ralpha-ue5` LFS repo if needed. diff --git a/benchmark/references/food/spaghetti/frames/frame_01.png b/benchmark/references/food/spaghetti/frames/frame_01.png new file mode 100644 index 000000000..7f91e2312 --- /dev/null +++ b/benchmark/references/food/spaghetti/frames/frame_01.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:960f205f3c1dd6e21b4c60749ae3ebb586bc222c01d84d9a8f4fe1517c5e5a1c +size 606910 diff --git a/benchmark/references/food/spaghetti/frames/frame_02.png b/benchmark/references/food/spaghetti/frames/frame_02.png new file mode 100644 index 000000000..2f632df02 --- /dev/null +++ b/benchmark/references/food/spaghetti/frames/frame_02.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4ff74ce7ef45ab65196cc66c593cceb5d227a7b618d9039931d2b15bd472f31c +size 641335 diff --git a/benchmark/references/food/spaghetti/frames/frame_03.png b/benchmark/references/food/spaghetti/frames/frame_03.png new file mode 100644 index 000000000..d8e46d73a --- /dev/null +++ b/benchmark/references/food/spaghetti/frames/frame_03.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ebf16db2bc5ba9a0b3f1128ed3b51844a408c3c397693d2d1126094c613a64c7 +size 575610 diff --git a/benchmark/references/food/spaghetti/frames/frame_04.png b/benchmark/references/food/spaghetti/frames/frame_04.png new file mode 100644 index 000000000..bf1ea7958 --- /dev/null +++ b/benchmark/references/food/spaghetti/frames/frame_04.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b0c2ee0649f0cff7d138dd8113ce0a435cb915e7e9ccfda0cb8a14da20988e55 +size 507303 diff --git a/benchmark/references/food/spaghetti/frames/frame_05.png b/benchmark/references/food/spaghetti/frames/frame_05.png new file mode 100644 index 000000000..21b1d7fee --- /dev/null +++ b/benchmark/references/food/spaghetti/frames/frame_05.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6cc8cae0e6efe09e2cc25d846ebafe16dc297e681a3e255ee70a752d73dcd96b +size 456368 diff --git a/benchmark/references/food/spaghetti/frames/frame_06.png b/benchmark/references/food/spaghetti/frames/frame_06.png new file mode 100644 index 000000000..a9d46b391 --- /dev/null +++ b/benchmark/references/food/spaghetti/frames/frame_06.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6e473eeb5d8396b8dbedcb89acf69a4a804dac33c4cdf724d64cbc7879ff68e6 +size 616693 diff --git a/benchmark/references/food/spaghetti/frames/frame_07.png b/benchmark/references/food/spaghetti/frames/frame_07.png new file mode 100644 index 000000000..efa5786ec --- /dev/null +++ b/benchmark/references/food/spaghetti/frames/frame_07.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5c72134d0817c49bd9fac77467e55c358072c5518e3eae0a7fe05297c30cf2bb +size 559127 diff --git a/benchmark/references/food/spaghetti/frames/frame_08.png b/benchmark/references/food/spaghetti/frames/frame_08.png new file mode 100644 index 000000000..f4c289d53 --- /dev/null +++ b/benchmark/references/food/spaghetti/frames/frame_08.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7fb6998d9e90be47cc1f5e952ec420bcd2457a4f721389e10ba4a56f0661ac6c +size 615415 diff --git a/benchmark/references/food/spaghetti/frames/frame_09.png b/benchmark/references/food/spaghetti/frames/frame_09.png new file mode 100644 index 000000000..8175b3ccf --- /dev/null +++ b/benchmark/references/food/spaghetti/frames/frame_09.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4fc87e0dbbd69b3b2a06e63bf91c0663bd45d7fd3299474a599d153eade65792 +size 603877 diff --git a/benchmark/references/food/spaghetti/frames/frame_10.png b/benchmark/references/food/spaghetti/frames/frame_10.png new file mode 100644 index 000000000..54d8cfaaf --- /dev/null +++ b/benchmark/references/food/spaghetti/frames/frame_10.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de8c9278df42fbb57f46c20e654a9873a516703081e76d8fd51e2f66b8400bbb +size 633371 diff --git a/benchmark/references/food/spaghetti/m2-res_720p.mp4 b/benchmark/references/food/spaghetti/m2-res_720p.mp4 new file mode 100644 index 000000000..53d2759e3 --- /dev/null +++ b/benchmark/references/food/spaghetti/m2-res_720p.mp4 @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:50bf6ea47ada98832460d07e3c7e23cb99a850bb1e7c69b14adf9a850b048bc0 +size 1716675 diff --git a/benchmark/references/food/spaghetti/metadata.md b/benchmark/references/food/spaghetti/metadata.md new file mode 100644 index 000000000..0c2cf1672 --- /dev/null +++ b/benchmark/references/food/spaghetti/metadata.md @@ -0,0 +1,37 @@ +# Spaghetti / Pasta Scene + +Food photography reference. Add reference images to this directory. + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Indoor | +| Domain | FOOD | +| Setting | Restaurant table / kitchen | +| Time of Day | N/A (artificial lighting) | +| Mood | Warm, appetising | + +## Key Elements (typical) +1. **Pasta dish** — hero element, center frame +2. **Sauce** — tomato/bolognese/carbonara +3. **Plate/bowl** — white ceramic, rustic, etc. +4. **Table surface** — wood, marble, cloth +5. **Utensils** — fork, spoon +6. **Garnish** — basil, parmesan, pepper +7. **Background** — shallow DOF blur, warm ambience +8. **Lighting** — soft overhead or side, warm key + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/food/spaghetti/reference.jpg \ + --domain FOOD \ + --llm claude-code \ + --max-iterations 20 +``` + +## Notes +- See `cooking-demo.md` in memory for carbonara scene setup lessons +- Physics commands available for food interaction +- Tripo/Meshy can generate custom food meshes diff --git a/benchmark/references/food/spaghetti/reference.mask.mask.mask.png b/benchmark/references/food/spaghetti/reference.mask.mask.mask.png new file mode 100644 index 000000000..d8cd000a1 --- /dev/null +++ b/benchmark/references/food/spaghetti/reference.mask.mask.mask.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de107689b03d5f39fab3cef28925c6e83484c323f74b66fda219c95560d799eb +size 6885 diff --git a/benchmark/references/food/spaghetti/reference.mask.mask.png b/benchmark/references/food/spaghetti/reference.mask.mask.png new file mode 100644 index 000000000..d8cd000a1 --- /dev/null +++ b/benchmark/references/food/spaghetti/reference.mask.mask.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de107689b03d5f39fab3cef28925c6e83484c323f74b66fda219c95560d799eb +size 6885 diff --git a/benchmark/references/food/spaghetti/reference.mask.png b/benchmark/references/food/spaghetti/reference.mask.png new file mode 100644 index 000000000..d8cd000a1 --- /dev/null +++ b/benchmark/references/food/spaghetti/reference.mask.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de107689b03d5f39fab3cef28925c6e83484c323f74b66fda219c95560d799eb +size 6885 diff --git a/benchmark/references/food/spaghetti/reference.png b/benchmark/references/food/spaghetti/reference.png new file mode 100644 index 000000000..7f91e2312 --- /dev/null +++ b/benchmark/references/food/spaghetti/reference.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:960f205f3c1dd6e21b4c60749ae3ebb586bc222c01d84d9a8f4fe1517c5e5a1c +size 606910 diff --git a/benchmark/references/nature/mountain/metadata.md b/benchmark/references/nature/mountain/metadata.md new file mode 100644 index 000000000..ee75c3e89 --- /dev/null +++ b/benchmark/references/nature/mountain/metadata.md @@ -0,0 +1,35 @@ +# Mountain Valley + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | NATURE | +| Setting | Mountain valley, boreal forest | +| Time of Day | Midday | +| Season | Summer | +| Weather | Partly cloudy | +| Mood | Majestic, expansive | + +## Key Elements +1. **Snow-capped peaks** — multiple mountain ranges with snow at summits +2. **Valley floor** — wide glacial valley with braided river/gravel flats +3. **Boreal forest** — dense spruce/pine in foreground and mid-ground +4. **Sky** — blue with scattered cumulus clouds +5. **Depth layers** — foreground trees, mid-ground valley, distant peaks + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/nature/mountain/reference.jpg \ + --domain NATURE \ + --llm claude-code +``` + +## What Success Looks Like +- Multiple mountain peaks with snow visible +- Green coniferous forest in foreground +- Wide valley between mountain ranges +- Blue sky with white clouds +- Strong sense of depth and scale diff --git a/benchmark/references/nature/mountain/reference.jpg b/benchmark/references/nature/mountain/reference.jpg new file mode 100644 index 000000000..1c22deff6 --- /dev/null +++ b/benchmark/references/nature/mountain/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5308ffd2e641400abe44c4607de2467bc8d759208e7ab218b1a9059f7ed44cd1 +size 625978 diff --git a/benchmark/references/parks/central-park/metadata.md b/benchmark/references/parks/central-park/metadata.md new file mode 100644 index 000000000..73bd4e365 --- /dev/null +++ b/benchmark/references/parks/central-park/metadata.md @@ -0,0 +1,45 @@ +# Central Park, New York City + +Urban park scene. Good candidate for Cesium + living replacement workflow. +City Parks Pack should provide benches, lamps, paths, fences. + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | EARTH + SKY | +| Setting | Urban park | +| Location | Central Park, Manhattan, NYC | +| Coordinates | ~40.7829 N, -73.9654 W (Bethesda Fountain area) | +| Mood | Varies by reference (autumn warm, winter crisp, spring green) | + +## Key Elements (typical Central Park shots) +1. **Trees** — deciduous, seasonal (autumn = gold/red, spring = green) +2. **Lake/pond** — Bethesda, The Lake, Turtle Pond +3. **Paths** — paved walkways, bridges +4. **Skyline** — Manhattan buildings visible through/above trees +5. **Park furniture** — benches, lamp posts, railings +6. **Bridge** — Bow Bridge (iconic), Gapstow Bridge +7. **People** — walkers, joggers (optional) +8. **Grass/lawn** — Sheep Meadow, Great Lawn + +## Assets Available +- **City Parks Pack** — benches, lamps, paths, fences, playground equipment +- **Cesium 3D Tiles** — Manhattan base geometry +- **UE5 Foliage** — trees, grass, shrubs for living replacement + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/parks/central-park/reference.jpg \ + --domain EARTH \ + --llm claude-code \ + --max-iterations 20 +``` + +## Cesium Coordinates +```json +{"type": "spawn_cesium_world", "latitude": 40.7829, "longitude": -73.9654} +{"type": "set_camera_geo", "latitude": 40.7736, "longitude": -73.9712, "height": 5, "yaw": 30} +``` diff --git a/benchmark/references/portrait/alysson/metadata.md b/benchmark/references/portrait/alysson/metadata.md new file mode 100644 index 000000000..8dc7a394e --- /dev/null +++ b/benchmark/references/portrait/alysson/metadata.md @@ -0,0 +1,33 @@ +# Alysson - Lab Portrait + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Indoor | +| Domain | PORTRAIT | +| Setting | Research laboratory | +| Time of Day | Daytime (artificial light) | +| Mood | Casual, intellectual | + +## Key Elements +1. **Subject** — male, dark hair, black button-down shirt, slight smile +2. **Prop** — holding a skull/fossil specimen in left hand +3. **Background** — laboratory shelves with bottles, chemicals, equipment +4. **Lighting** — fluorescent overhead, even fill, slightly warm +5. **Pose** — three-quarter facing camera, relaxed stance +6. **Second skull** — white skull on counter beside subject + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/portrait/alysson/reference.jpg \ + --domain PORTRAIT \ + --llm claude-code +``` + +## What Success Looks Like +- Single male figure in lab environment +- Natural skin tones under fluorescent lighting +- Lab background with appropriate clutter +- Relaxed, natural pose diff --git a/benchmark/references/portrait/alysson/reference.jpg b/benchmark/references/portrait/alysson/reference.jpg new file mode 100755 index 000000000..a7526a902 --- /dev/null +++ b/benchmark/references/portrait/alysson/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f3bc2a99bb9d0f14cfe36aed225de93d6ef4acd01ae1e92b01f787421c8028cc +size 1539754 diff --git a/benchmark/references/portrait/dbrin-xian/metadata.md b/benchmark/references/portrait/dbrin-xian/metadata.md new file mode 100644 index 000000000..2d0c3bf9b --- /dev/null +++ b/benchmark/references/portrait/dbrin-xian/metadata.md @@ -0,0 +1,33 @@ +# David Brin - Xi'an Portrait + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Indoor / Museum | +| Domain | PORTRAIT | +| Setting | Terracotta Warriors museum, Xi'an, China | +| Time of Day | Daytime (indoor lighting) | +| Mood | Casual, travel | + +## Key Elements +1. **Subject** — older male, bald/grey, grey beard, black polo shirt +2. **Pose** — close-up, slight smile, direct gaze at camera +3. **Background** — terracotta warrior army pit, blurred +4. **Metal railing** — museum viewing platform railing visible +5. **Lighting** — natural museum light, warm skin tones +6. **Shallow DoF** — subject sharp, warriors soft in background + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/portrait/dbrin-xian/reference.jpg \ + --domain PORTRAIT \ + --llm claude-code +``` + +## What Success Looks Like +- Single male figure, close-up portrait framing +- Warm natural skin tones +- Blurred museum/archaeological background +- Casual outdoor-travel portrait feel diff --git a/benchmark/references/portrait/dbrin-xian/reference.jpg b/benchmark/references/portrait/dbrin-xian/reference.jpg new file mode 100644 index 000000000..49bdcfb47 --- /dev/null +++ b/benchmark/references/portrait/dbrin-xian/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:923419e183ef67c759d2aa752825e4f9e455de1b9fdb619c223d88893415fdfd +size 108512 diff --git a/benchmark/references/portrait/distracted-boyfriend/metadata.md b/benchmark/references/portrait/distracted-boyfriend/metadata.md new file mode 100644 index 000000000..82ae098e9 --- /dev/null +++ b/benchmark/references/portrait/distracted-boyfriend/metadata.md @@ -0,0 +1,42 @@ +# Distracted Boyfriend - Street Group + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | PORTRAIT | +| Setting | European city street | +| Time of Day | Afternoon | +| Weather | Overcast / bright | +| Mood | Candid, comedic | + +## Key Elements +1. **Three subjects** — man in center, woman in red on left, woman in blue on right +2. **Man** — plaid shirt, turning head to look at woman in red +3. **Woman in red** — walking past, slightly blurred foreground +4. **Woman in blue** — holding man's hand, shocked expression +5. **Shallow DoF** — subjects in focus, city street background blurred +6. **Street background** — European buildings, pedestrians, blurred +7. **Composition** — three subjects across frame, narrative tension + +## Difficulty Notes +Multi-person scene with distinct expressions, poses, and clothing. Tests: +- MetaHuman group spawning and positioning +- Expression/emotion matching per character +- Shallow depth of field with foreground blur +- Street environment with pedestrians + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/portrait/distracted-boyfriend/reference.webp \ + --domain PORTRAIT \ + --llm claude-code +``` + +## What Success Looks Like +- Three distinct figures at correct positions +- Appropriate clothing colours (red, plaid, blue) +- Shallow depth of field effect +- European street background diff --git a/benchmark/references/portrait/distracted-boyfriend/reference.webp b/benchmark/references/portrait/distracted-boyfriend/reference.webp new file mode 100644 index 000000000..172b08f5e --- /dev/null +++ b/benchmark/references/portrait/distracted-boyfriend/reference.webp @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:90f4b1da62573218732e17dca0c5ee89d09b9739f2728f8e9e0590b759fe4954 +size 141184 diff --git a/benchmark/references/portrait/jamest-seated/metadata.md b/benchmark/references/portrait/jamest-seated/metadata.md new file mode 100644 index 000000000..7709a2394 --- /dev/null +++ b/benchmark/references/portrait/jamest-seated/metadata.md @@ -0,0 +1,33 @@ +# James T - Seated Portrait + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Indoor | +| Domain | PORTRAIT | +| Setting | Hotel lobby / elegant interior | +| Time of Day | Evening (artificial light) | +| Mood | Professional, warm | + +## Key Elements +1. **Subject** — male, brown hair, glasses, pinstripe suit with blue shirt +2. **Pose** — seated in armchair, hands clasped, legs crossed +3. **Furniture** — gold/amber velvet armchair, dark wood coffee table +4. **Background** — stone fireplace surround, warm wall sconces, flowers +5. **Lighting** — warm tungsten, shallow depth of field, soft bokeh +6. **Colour palette** — warm golds, browns, blues from shirt + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/portrait/jamest-seated/reference.jpg \ + --domain PORTRAIT \ + --llm claude-code +``` + +## What Success Looks Like +- Single male figure seated in elegant interior +- Warm, golden lighting throughout +- Shallow depth of field with soft background +- Professional portrait feel diff --git a/benchmark/references/portrait/jamest-seated/reference.jpg b/benchmark/references/portrait/jamest-seated/reference.jpg new file mode 100644 index 000000000..cf95f7ce1 --- /dev/null +++ b/benchmark/references/portrait/jamest-seated/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2c49a2eb2de94c608a571183de5072e598c0f1d43ae7e544499479481dcb357f +size 928243 diff --git a/benchmark/references/portrait/jamest-standing/metadata.md b/benchmark/references/portrait/jamest-standing/metadata.md new file mode 100644 index 000000000..ba9847ff0 --- /dev/null +++ b/benchmark/references/portrait/jamest-standing/metadata.md @@ -0,0 +1,33 @@ +# James T - Standing Portrait + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Indoor | +| Domain | PORTRAIT | +| Setting | Elegant interior / hotel lobby | +| Time of Day | Evening (artificial light) | +| Mood | Professional, composed | + +## Key Elements +1. **Subject** — male, brown hair, glasses, pinstripe suit with blue shirt +2. **Pose** — standing, leaning on white grand piano, direct gaze +3. **Background** — stone column, warm wall sconces, floral arrangement +4. **Lighting** — warm tungsten, medium depth of field +5. **White piano** — prominent foreground element, curved edge +6. **Vertical composition** — full upper body, 3/4 length + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/portrait/jamest-standing/reference.jpg \ + --domain PORTRAIT \ + --llm claude-code +``` + +## What Success Looks Like +- Single male figure leaning on white piano +- Warm interior lighting +- Elegant architectural background +- Professional portrait composition diff --git a/benchmark/references/portrait/jamest-standing/reference.jpg b/benchmark/references/portrait/jamest-standing/reference.jpg new file mode 100644 index 000000000..7a47870da --- /dev/null +++ b/benchmark/references/portrait/jamest-standing/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a45e5a507f9e72dfde40419f6e6c48da3628b86f384ca7906c9cdc147b9eaca +size 846038 diff --git a/benchmark/references/portrait/joi-close/metadata.md b/benchmark/references/portrait/joi-close/metadata.md new file mode 100644 index 000000000..2cd8ae58c --- /dev/null +++ b/benchmark/references/portrait/joi-close/metadata.md @@ -0,0 +1,33 @@ +# Joi Close-up - Blade Runner 2049 + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Indoor / Cinematic | +| Domain | PORTRAIT | +| Setting | Blade Runner 2049 scene | +| Time of Day | Night | +| Mood | Ethereal, melancholic, neon | + +## Key Elements +1. **Subject** — female hologram face, close-up, blue/purple hair +2. **Scan lines** — visible horizontal display lines across face +3. **Lighting** — pink/magenta from left, blue/purple ambient +4. **Expression** — gentle, slightly downward gaze +5. **Colour palette** — deep purple, magenta, blue +6. **Holographic quality** — slight transparency, digital artifact feel + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/portrait/joi-close/reference.jpg \ + --domain PORTRAIT \ + --llm claude-code +``` + +## What Success Looks Like +- Close-up face with neon purple/pink lighting +- Holographic scan line effect +- Deep purple/magenta colour palette +- Cinematic shallow depth of field diff --git a/benchmark/references/portrait/joi-close/reference.jpg b/benchmark/references/portrait/joi-close/reference.jpg new file mode 100644 index 000000000..b6d4fda15 --- /dev/null +++ b/benchmark/references/portrait/joi-close/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0f92538d0e50ae212f00043ce0d05cd49eee10b3dbea03cf50dc0ff17b886b8b +size 4476 diff --git a/benchmark/references/portrait/joi-wide/metadata.md b/benchmark/references/portrait/joi-wide/metadata.md new file mode 100644 index 000000000..56654a9f2 --- /dev/null +++ b/benchmark/references/portrait/joi-wide/metadata.md @@ -0,0 +1,34 @@ +# Joi Wide - Blade Runner 2049 + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor / Cinematic | +| Domain | PORTRAIT | +| Setting | Blade Runner 2049 rooftop scene | +| Time of Day | Night | +| Mood | Lonely, surreal, neon | + +## Key Elements +1. **Giant hologram** — massive female figure (Joi) projected, left side of frame +2. **Human figure** — small male silhouette on walkway, right side +3. **Scale contrast** — hologram dwarfs the human figure +4. **Atmosphere** — heavy pink/purple fog, particles/rain +5. **Metal railing** — industrial walkway/bridge in mid-ground +6. **Colour palette** — dominant pink/magenta with blue accents +7. **Pointing gesture** — hologram reaching toward the human figure + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/portrait/joi-wide/reference.webp \ + --domain PORTRAIT \ + --llm claude-code +``` + +## What Success Looks Like +- Giant holographic figure visible on left +- Small human silhouette on right for scale +- Dense pink/purple atmospheric haze +- Cinematic wide composition with extreme scale contrast diff --git a/benchmark/references/portrait/joi-wide/reference.webp b/benchmark/references/portrait/joi-wide/reference.webp new file mode 100644 index 000000000..3571f3548 --- /dev/null +++ b/benchmark/references/portrait/joi-wide/reference.webp @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:97fa4eb8ea727ef1dd45e31100ec78c2f8c1d74b037d219aa49500bcac2b290c +size 72760 diff --git a/benchmark/references/portrait/portrait-2007/metadata.md b/benchmark/references/portrait/portrait-2007/metadata.md new file mode 100644 index 000000000..a6720937c --- /dev/null +++ b/benchmark/references/portrait/portrait-2007/metadata.md @@ -0,0 +1,34 @@ +# Portrait 2007 - Stage Presentation + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Indoor | +| Domain | PORTRAIT | +| Setting | Stage / keynote presentation | +| Time of Day | N/A (stage lighting) | +| Year | 2007 | +| Mood | Iconic, dramatic | + +## Key Elements +1. **Subject** — male in profile, grey hair, glasses, black turtleneck +2. **Object** — holding up a smartphone, displaying screen to audience +3. **Lighting** — dramatic stage spot, dark background, rim light on face +4. **Composition** — profile view, subject right of frame +5. **Colour palette** — near-monochrome, warm skin highlight against black +6. **Dark background** — solid black, theatrical + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/portrait/portrait-2007/reference.jpg \ + --domain PORTRAIT \ + --llm claude-code +``` + +## What Success Looks Like +- Profile view of figure against dark background +- Dramatic side lighting, theatrical feel +- Object held up and illuminated +- High contrast, near-silhouette with skin highlights diff --git a/benchmark/references/portrait/portrait-2007/reference.jpg b/benchmark/references/portrait/portrait-2007/reference.jpg new file mode 100644 index 000000000..56a64a99b --- /dev/null +++ b/benchmark/references/portrait/portrait-2007/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3977b1328d441c1939f79ddc59cc49541ffcdbbc1bf55d08275a3f2a7915585f +size 1269832 diff --git a/benchmark/references/sea/ocean-horizon/metadata.md b/benchmark/references/sea/ocean-horizon/metadata.md new file mode 100644 index 000000000..77f3fae4c --- /dev/null +++ b/benchmark/references/sea/ocean-horizon/metadata.md @@ -0,0 +1,33 @@ +# Ocean Horizon - Aerial Beach + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | SEA | +| Setting | Tropical beach, aerial/drone view | +| Time of Day | Midday | +| Weather | Clear | +| Mood | Serene, tropical | + +## Key Elements +1. **Turquoise ocean** — deep teal-blue water with visible reef/sand below +2. **Breaking waves** — white foam line where waves meet shore +3. **Sandy beach** — light tan sand, upper-left of frame +4. **Aerial perspective** — top-down/bird's-eye camera angle +5. **Water gradient** — shallow turquoise near shore, deeper blue offshore + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/sea/ocean-horizon/reference.jpg \ + --domain SEA \ + --llm claude-code +``` + +## What Success Looks Like +- Top-down aerial view of coastline +- Turquoise water with white wave foam +- Sandy beach visible at frame edge +- Clear water colour gradient from shallow to deep diff --git a/benchmark/references/sea/ocean-horizon/reference.jpg b/benchmark/references/sea/ocean-horizon/reference.jpg new file mode 100644 index 000000000..f16660f3b --- /dev/null +++ b/benchmark/references/sea/ocean-horizon/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2c54b8f0795c8239c2cabd058188544b1da2e1f1e084e6025b626622680601bd +size 1268662 diff --git a/benchmark/references/sea/ocean-horizon/reference.mask.png b/benchmark/references/sea/ocean-horizon/reference.mask.png new file mode 100644 index 000000000..e8383fc09 --- /dev/null +++ b/benchmark/references/sea/ocean-horizon/reference.mask.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e5d691d766cc6a4883cf78a3063fb91a57978bce217e3555923397ff09bb805c +size 79860 diff --git a/benchmark/references/sea/sunset-oswego/metadata.md b/benchmark/references/sea/sunset-oswego/metadata.md new file mode 100644 index 000000000..54ad80e96 --- /dev/null +++ b/benchmark/references/sea/sunset-oswego/metadata.md @@ -0,0 +1,49 @@ +# Sunset Oswego - Lake Ontario + +**Our first test target.** Canadian sunset over Lake Ontario. + +## Source +- **File**: SunsetOswego.jpg (3.8 MB, 4928x3264) +- **Camera**: Nikon D5100 +- **Date**: October 5, 2016 at 6:36 PM +- **UTC Offset**: -4 +- **Location**: Oswego, NY (Lake Ontario, Canadian border) +- **GPS**: Not in EXIF (inferred from filename) +- **GPS Inferred**: 43.4553, -76.5105 +- **GPS Provenance**: Approximate Oswego shoreline / city-center fallback for ephemeris only, not measured camera position + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | SKY + SEA | +| Setting | Lakeshore | +| Time of Day | Sunset (~6:36 PM, October) | +| Season | Autumn | +| Weather | Clear | +| Mood | Warm, serene, golden | + +## Key Elements +1. **Sun disk** — low on horizon, golden-orange +2. **Sun reflection** — on calm water surface +3. **Sky gradient** — orange/gold near horizon, deeper blue above +4. **Lake Ontario** — calm water, slight ripple +5. **Horizon line** — clean water/sky divide +6. **Silhouette treeline** — far shore (optional detail) + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/sea/sunset-oswego/reference.jpg \ + --domain SKY \ + --llm claude-code \ + --max-iterations 20 +``` + +## What Success Looks Like +- Sun disk visible at correct position on horizon +- Water reflects golden light from sun +- Sky gradient from warm orange to blue +- Calm water surface with subtle ripple +- Clean horizon line diff --git a/benchmark/references/sea/sunset-oswego/reference-low.jpg b/benchmark/references/sea/sunset-oswego/reference-low.jpg new file mode 100644 index 000000000..b5a69fe93 --- /dev/null +++ b/benchmark/references/sea/sunset-oswego/reference-low.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:303c11bfcb48d6591aae39b50625749e588cf60662d65d0ee8ae4fdf4e7706b0 +size 7135 diff --git a/benchmark/references/sea/sunset-oswego/reference.jpg b/benchmark/references/sea/sunset-oswego/reference.jpg new file mode 100644 index 000000000..72fea80cd --- /dev/null +++ b/benchmark/references/sea/sunset-oswego/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b1393ad8ce28a176c99ece28345fd079bf3521a41bfc702e827610c52598ceee +size 4016449 diff --git a/benchmark/references/sky/city-sunrise/metadata.md b/benchmark/references/sky/city-sunrise/metadata.md new file mode 100644 index 000000000..6d6d3b37a --- /dev/null +++ b/benchmark/references/sky/city-sunrise/metadata.md @@ -0,0 +1,24 @@ +# 6AM City Sunrise + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | SKY | +| Setting | Urban | +| Time of Day | Sunrise (~6:00 AM) | +| Mood | Fresh, awakening, cool-to-warm | + +## Key Elements +1. **Sunrise gradient** — cool blue upper sky transitioning to warm horizon +2. **City skyline** — urban structures in early morning light +3. **Low sun angle** — long shadows, raking light + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/sky/city-sunrise/reference.jpg \ + --domain SKY \ + --llm claude-code +``` diff --git a/benchmark/references/sky/city-sunrise/reference.jpg b/benchmark/references/sky/city-sunrise/reference.jpg new file mode 100644 index 000000000..16b45d724 --- /dev/null +++ b/benchmark/references/sky/city-sunrise/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0b8e1bc6bfcaa44a7a4499e5a35675d1658be97614f57adaf8a1af2c26864a80 +size 122864 diff --git a/benchmark/references/sky/fiery-silhouette/metadata.md b/benchmark/references/sky/fiery-silhouette/metadata.md new file mode 100644 index 000000000..d25d613c0 --- /dev/null +++ b/benchmark/references/sky/fiery-silhouette/metadata.md @@ -0,0 +1,23 @@ +# Fiery Sunset Silhouette + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | SKY | +| Time of Day | Sunset | +| Mood | Dramatic, fiery, urban | + +## Key Elements +1. **City silhouette** — buildings/structures as dark foreground +2. **Fiery clouds** — intense red/orange cloud layer +3. **High contrast** — dark silhouette against bright sky + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/sky/fiery-silhouette/reference.jpg \ + --domain SKY \ + --llm claude-code +``` diff --git a/benchmark/references/sky/fiery-silhouette/reference.jpg b/benchmark/references/sky/fiery-silhouette/reference.jpg new file mode 100644 index 000000000..5ee3dce05 --- /dev/null +++ b/benchmark/references/sky/fiery-silhouette/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d3b4a8d52127deb6c05b2272e1a1a310edbb3c207161a50c59885e9559528b9f +size 25552 diff --git a/benchmark/references/sky/fiery-silhouette/reference.mask.png b/benchmark/references/sky/fiery-silhouette/reference.mask.png new file mode 100644 index 000000000..a343dc165 --- /dev/null +++ b/benchmark/references/sky/fiery-silhouette/reference.mask.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:191c6e8d205a428af3c41113560843e2904745be8feadcfa595450a34568e016 +size 1099 diff --git a/benchmark/references/sky/golden-hour-clouds/metadata.md b/benchmark/references/sky/golden-hour-clouds/metadata.md new file mode 100644 index 000000000..d6f63a3f9 --- /dev/null +++ b/benchmark/references/sky/golden-hour-clouds/metadata.md @@ -0,0 +1,23 @@ +# Golden Hour Clouds + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | SKY | +| Time of Day | Golden hour | +| Mood | Warm, soft, peaceful | + +## Key Elements +1. **Cloud formations** — warm-lit cumulus/stratocumulus +2. **Golden light** — warm colour temperature across sky +3. **Sky gradient** — blue to gold transition + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/sky/golden-hour-clouds/reference.jpg \ + --domain SKY \ + --llm claude-code +``` diff --git a/benchmark/references/sky/golden-hour-clouds/reference.jpg b/benchmark/references/sky/golden-hour-clouds/reference.jpg new file mode 100644 index 000000000..1585cde5e --- /dev/null +++ b/benchmark/references/sky/golden-hour-clouds/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5fcf5fe6b8b8a1f6934ebda14f4be20ac9cc98d556d800be392595d3c1f81008 +size 235784 diff --git a/benchmark/references/sky/golden-hour-clouds/reference.mask.png b/benchmark/references/sky/golden-hour-clouds/reference.mask.png new file mode 100644 index 000000000..1c6bb22aa --- /dev/null +++ b/benchmark/references/sky/golden-hour-clouds/reference.mask.png @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a8b8f34e168928ae5e88084983dde8c6645142ce984f8206982429169ba62ce6 +size 11623 diff --git a/benchmark/references/sky/mojave-twilight/metadata.md b/benchmark/references/sky/mojave-twilight/metadata.md new file mode 100644 index 000000000..3456d2dd9 --- /dev/null +++ b/benchmark/references/sky/mojave-twilight/metadata.md @@ -0,0 +1,24 @@ +# Mojave Twilight + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | SKY | +| Setting | Mojave Desert, Landers, California | +| Time of Day | Twilight | +| Mood | Serene, vast, desert isolation | + +## Key Elements +1. **Twilight gradient** — deep blue to purple to orange at horizon +2. **Desert silhouette** — flat desert horizon line +3. **Clear atmosphere** — minimal haze, desert clarity + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/sky/mojave-twilight/reference.jpg \ + --domain SKY \ + --llm claude-code +``` diff --git a/benchmark/references/sky/mojave-twilight/reference.jpg b/benchmark/references/sky/mojave-twilight/reference.jpg new file mode 100644 index 000000000..405f2db98 --- /dev/null +++ b/benchmark/references/sky/mojave-twilight/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:87b1116e768472b25f3bb482ed04e4062118295b46f3800d0c8b8f6ab209033e +size 60904 diff --git a/benchmark/references/sky/san-diego-sunset/metadata.md b/benchmark/references/sky/san-diego-sunset/metadata.md new file mode 100644 index 000000000..ba843943f --- /dev/null +++ b/benchmark/references/sky/san-diego-sunset/metadata.md @@ -0,0 +1,23 @@ +# San Diego Sunset + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | SKY | +| Setting | San Diego, California | +| Time of Day | Sunset | +| Mood | Warm, coastal | + +## Key Elements +1. **Sunset colours** — warm orange/pink Pacific coast sunset +2. **Coastal atmosphere** — marine layer influence on light + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/sky/san-diego-sunset/reference.webp \ + --domain SKY \ + --llm claude-code +``` diff --git a/benchmark/references/sky/san-diego-sunset/reference.webp b/benchmark/references/sky/san-diego-sunset/reference.webp new file mode 100644 index 000000000..f15227b90 --- /dev/null +++ b/benchmark/references/sky/san-diego-sunset/reference.webp @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e6d428deb4ea254de886c05beb482f4ba7a07562d6e71b0e61f4051947f97502 +size 69826 diff --git a/benchmark/references/sky/sunset-2007/metadata.md b/benchmark/references/sky/sunset-2007/metadata.md new file mode 100644 index 000000000..0486ef2cb --- /dev/null +++ b/benchmark/references/sky/sunset-2007/metadata.md @@ -0,0 +1,23 @@ +# Sunset 2007 + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | SKY | +| Time of Day | Sunset | +| Year | 2007 | +| Mood | Classic, nostalgic | + +## Key Elements +1. **Sunset colours** — traditional orange/gold sunset +2. **Sky gradient** — warm-to-cool transition + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/sky/sunset-2007/reference.jpg \ + --domain SKY \ + --llm claude-code +``` diff --git a/benchmark/references/sky/sunset-2007/reference.jpg b/benchmark/references/sky/sunset-2007/reference.jpg new file mode 100644 index 000000000..f5da934af --- /dev/null +++ b/benchmark/references/sky/sunset-2007/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d1217aca1d6482070f75f51fb133792148b74ec9bb0b5a87141b8efa553180b1 +size 41492 diff --git a/benchmark/references/sky/sunset-dramatic/metadata.md b/benchmark/references/sky/sunset-dramatic/metadata.md new file mode 100644 index 000000000..81d81c2e7 --- /dev/null +++ b/benchmark/references/sky/sunset-dramatic/metadata.md @@ -0,0 +1,22 @@ +# Sunset Dramatic + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | SKY | +| Time of Day | Sunset | +| Mood | Dramatic, fiery | + +## Key Elements +1. **Sky gradient** — intense orange/red sunset colours +2. **Cloud formations** — dramatic cloud structures catching light + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/sky/sunset-dramatic/reference.jpg \ + --domain SKY \ + --llm claude-code +``` diff --git a/benchmark/references/sky/sunset-dramatic/reference.jpg b/benchmark/references/sky/sunset-dramatic/reference.jpg new file mode 100644 index 000000000..d0499aeb9 --- /dev/null +++ b/benchmark/references/sky/sunset-dramatic/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1a8c9fa58cc8e7f5b5caa57c82024c1205e1947548f2ac061b244c6b4b36e61b +size 221845 diff --git a/benchmark/references/sky/tappan-zee-sunset/metadata.md b/benchmark/references/sky/tappan-zee-sunset/metadata.md new file mode 100644 index 000000000..6b2844e94 --- /dev/null +++ b/benchmark/references/sky/tappan-zee-sunset/metadata.md @@ -0,0 +1,24 @@ +# Tappan Zee Bridge at Sunset + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | SKY | +| Setting | Hudson River, NY | +| Time of Day | Sunset | +| Mood | Warm, architectural | + +## Key Elements +1. **Bridge silhouette** — Tappan Zee Bridge spanning frame +2. **Sky gradient** — warm sunset behind bridge structure +3. **Water reflections** — Hudson River surface + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/sky/tappan-zee-sunset/reference.jpg \ + --domain SKY \ + --llm claude-code +``` diff --git a/benchmark/references/sky/tappan-zee-sunset/reference.jpg b/benchmark/references/sky/tappan-zee-sunset/reference.jpg new file mode 100644 index 000000000..c87f91919 --- /dev/null +++ b/benchmark/references/sky/tappan-zee-sunset/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0b22f08e90853f6df02e2de3b7aeb39bd071abadac245e4d6141e7e33818f8a7 +size 175621 diff --git a/benchmark/references/urban/blade-runner/metadata.md b/benchmark/references/urban/blade-runner/metadata.md new file mode 100644 index 000000000..fa26486b2 --- /dev/null +++ b/benchmark/references/urban/blade-runner/metadata.md @@ -0,0 +1,35 @@ +# Blade Runner - Cyberpunk City + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor / Urban | +| Domain | URBAN | +| Setting | Futuristic city street | +| Time of Day | Night | +| Weather | Rain, haze | +| Mood | Dark, dystopian, noir | + +## Key Elements +1. **Flying vehicle** — spinner/hovercar mid-air with red/blue lights +2. **Neon signage** — bright Chinese/Japanese neon signs on buildings +3. **Rain and haze** — atmospheric fog, wet surfaces, rain particles +4. **Silhouetted figures** — people with umbrellas on street level +5. **Street vehicles** — ground-level cars/taxis, yellow cab +6. **Light beams** — vertical blue/white light columns piercing upward +7. **Dark atmosphere** — heavy contrast between neon highlights and deep shadows + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/urban/blade-runner/reference.jpg \ + --domain URBAN \ + --llm claude-code +``` + +## What Success Looks Like +- Dark rainy city street with neon glow +- Strong colour contrast: neon warm vs cool shadows +- Atmospheric haze/volumetric fog +- Cinematic noir lighting diff --git a/benchmark/references/urban/blade-runner/reference.jpg b/benchmark/references/urban/blade-runner/reference.jpg new file mode 100644 index 000000000..fbf13a18c --- /dev/null +++ b/benchmark/references/urban/blade-runner/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:baa1ca558fb9cf23d9eff90b1df552c594bdf72059b053768346a0431a4ef6df +size 1022257 diff --git a/benchmark/references/urban/paris-eiffel/breakdown.md b/benchmark/references/urban/paris-eiffel/breakdown.md new file mode 100644 index 000000000..4bed94752 --- /dev/null +++ b/benchmark/references/urban/paris-eiffel/breakdown.md @@ -0,0 +1,146 @@ +# Reference Breakdown: Paris Eiffel Tower - Seine Golden Hour + +## Source +- **File**: `52395375673_9981be45d2_o.jpg` +- **Camera**: Sony ILCE-7M3 (A7 III) +- **Lens**: Sony FE 24-105mm F4 G OSS @ 24mm, f/5.0 +- **Exposure**: 1/80s, ISO 100, Auto WB +- **Date**: 2022-06-25 20:17:49 (golden hour, ~90min before sunset) +- **Software**: Capture One 12.1.5 +- **Location**: South bank of Seine, Quai de Branly area +- **Coordinates**: ~48.8577 N, 2.3011 E (estimated from geometry, no GPS in EXIF) +- **Altitude**: ~33m above sea level (riverside path) + +--- + +## 1. Scene Characterisation (General) + +| Property | Value | Evidence | +|----------|-------|----------| +| **Environment** | Outdoor | Open sky, natural light | +| **Domain** | Water + Sky + Earth | Seine river, sky, urban ground | +| **Location** | Paris, France | Eiffel Tower, Seine, Haussmann buildings | +| **Setting** | Urban + City Park + River | Champ de Mars trees, quay, Seine | +| **Time of Day** | Golden hour (pre-sunset) | EXIF 20:17, sun from west lighting tower orange, long shadows | +| **Time Evidence** | Likely evening not morning | EXIF timestamp 20:17. Also: no people visible on quay (evening quiet), closed cafe umbrellas, boats moored for evening. Paris sunrise in June is ~05:45 - 20:17 is definitely evening | +| **Season** | Summer (late June) | Full leaf trees, long daylight hours, EXIF date 2022-06-25 | +| **Weather** | Clear with high cloud | Mostly blue sky, thin stratus, some cumulus in distance | +| **Mood** | Serene, warm, golden | Warm light on iron, calm water, peaceful composition | + +--- + +## 2. Segmentation Analysis (Component Meshes) + +### HERO ELEMENTS +| # | Element | Position | Notes | +|---|---------|----------|-------| +| 1 | **Eiffel Tower** | Center frame, full height | Lit golden by low sun from west. Iron lattice structure. Antenna/spike at top. Three visible levels (base arches, 1st floor, 2nd floor, top). Warm orange-gold colour | + +### SKY +| # | Element | Position | Notes | +|---|---------|----------|-------| +| 2 | **Stratus clouds** | Upper sky, thin layers | High altitude, wispy, catches golden light on undersides | +| 3 | **Cumulus clouds** | Distance, right side | Thicker, some pink/blue tones | +| 4 | **Aircraft contrail** | Upper right sky | Single white line, diagonal across blue sky | +| 5 | **Blue sky gradient** | Overall | Deeper blue at zenith, warmer near horizon | + +### WATER +| # | Element | Position | Notes | +|---|---------|----------|-------| +| 6 | **Seine river** | Foreground, full width | Running left to right. Light chop/ripple, reflects sky blue with some golden highlights. Darker on left, lighter toward center | + +### BRIDGES & INFRASTRUCTURE +| # | Element | Position | Notes | +|---|---------|----------|-------| +| 7 | **Bridge (Pont de Bir-Hakeim)** | Left edge of frame | Stone arch bridge, 3-4 arches visible. Road level + metro level above | +| 8 | **Elevated road/bridge** | Right side | Pont d'Iena area, modern road structure above quay | + +### BOATS & VESSELS +| # | Element | Position | Notes | +|---|---------|----------|-------| +| 9 | **Large tour boat (white)** | Center-left, moored at quay | White hull, multi-deck, passenger vessel | +| 10 | **Second tour boat** | Behind first boat | Partially visible | +| 11 | **Dark barge/vessel** | Right side, moored | Darker hull, lower profile | +| 12 | **Small boat/canoe** | On river, left of center | Small craft on water | +| 13 | **Boat string lights** | On moored boats | Multiple lights along boat decks/masts, some on (warm yellow), some off | + +### QUAY & WATERFRONT +| # | Element | Position | Notes | +|---|---------|----------|-------| +| 14 | **Stone quay/embankment** | Center, along waterline | Parisian stone quay, mooring bollards | +| 15 | **Quay roadway** | Behind quay wall | Paved road along riverfront | +| 16 | **Quay railing/wall** | Along quay edge | Stone or metal barrier | + +### VEGETATION +| # | Element | Position | Notes | +|---|---------|----------|-------| +| 17 | **Tree line (Champ de Mars)** | Behind quay, center | Dense row of mature deciduous trees, full summer leaf, green. ~15-20 trees visible | +| 18 | **Additional trees** | Left side near bridge | Smaller group of trees | + +### BUILDINGS +| # | Element | Position | Notes | +|---|---------|----------|-------| +| 19 | **Haussmann buildings** | Behind tree line, right side | Classic Parisian 5-6 story buildings, cream/beige stone, mansard roofs | +| 20 | **Additional buildings** | Left of tower, behind trees | Lower visibility through foliage | + +### STREET FURNITURE & URBAN ELEMENTS +| # | Element | Position | Notes | +|---|---------|----------|-------| +| 21 | **Street lamps** | Along quay | Classic Parisian lamp posts | +| 22 | **Cars/vehicles** | On quay road (small) | A few vehicles parked or driving along embankment | +| 23 | **Cafe (closed)** | Quay area | Closed for evening | +| 24 | **Umbrellas (closed/furled)** | Near cafe | Folded parasols | +| 25 | **Signs** | Various along quay | Directional/informational signs | +| 26 | **Columns/bollards** | Along quay | Stone or metal posts | + +### FAIRGROUND +| # | Element | Position | Notes | +|---|---------|----------|-------| +| 27 | **Fairground/carousel** | Near base of tower area | Merry-go-round visible near Champ de Mars edge | + +--- + +## 3. Lighting Analysis + +| Property | Value | +|----------|-------| +| **Sun direction** | From west (left side of frame) | +| **Sun height** | ~15-20 degrees above horizon (golden hour) | +| **Key light** | Warm golden on tower and buildings | +| **Fill light** | Cool blue ambient from sky | +| **Color temperature** | ~3000-3500K direct sun, ~7000K sky fill | +| **Shadows** | Long, stretching right. Tower shadow on trees/buildings | +| **Contrast** | Moderate - warm highlights, cool shadows | +| **Sky gradient** | Warm yellow-green at horizon → blue at zenith | + +## 4. Camera Analysis + +| Property | Value | Source | +|----------|-------|--------| +| **Focal length** | 24mm (full frame equivalent) | EXIF | +| **Aperture** | f/5.0 | EXIF | +| **Height** | ~170cm (standing, riverside path) | Estimated from perspective | +| **Viewpoint** | South bank, looking NNW toward tower | Geometry analysis | +| **Distance to tower** | ~800-1000m | Estimated | +| **Pitch** | ~+5 degrees (slightly looking up at tower) | Composition | + +## 5. What the AI Should Detect + +This is the human ground truth for testing AI perception. The AI should identify ALL elements above. Key challenges: + +- **Fine detail**: String lights on boats (some on, some off) +- **Occluded elements**: Buildings behind trees +- **Small elements**: Cars, signs, bollards at this distance +- **Atmospheric**: Contrail, cloud types (stratus vs cumulus) +- **Context clues**: Closed cafe, furled umbrellas → time of day evidence +- **Absence**: No visible pedestrians → supports evening timing +- **Lighting interpretation**: Golden light = west-facing sun = evening golden hour + +### Scoring: Element Detection +Total distinct elements: ~27 categories + +| Tier | Elements | Score Weight | +|------|----------|-------------| +| Must detect | Eiffel Tower, Seine, sky, bridge, boats, trees, buildings | 50% | +| Should detect | Cloud types, quay, street lamps, fairground, vehicles | 30% | +| Bonus detail | String lights, contrail, closed cafe, umbrellas, signs, canoe | 20% | diff --git a/benchmark/references/urban/paris-eiffel/exif.rtf b/benchmark/references/urban/paris-eiffel/exif.rtf new file mode 100644 index 000000000..3225fa80c --- /dev/null +++ b/benchmark/references/urban/paris-eiffel/exif.rtf @@ -0,0 +1,78 @@ +{\rtf1\ansi\ansicpg1252\cocoartf2867 +\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fnil\fcharset0 .SFNS-Regular;} +{\colortbl;\red255\green255\blue255;\red14\green14\blue14;} +{\*\expandedcolortbl;;\cssrgb\c6700\c6700\c6700;} +\margl1440\margr1440\vieww11520\viewh8400\viewkind0 +\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\sl324\slmult1\pardirnatural\partightenfactor0 + +\f0\fs38 \cf2 \ +Sony ILCE-7M3\ +Sony FE 24-105mm F4 G OSS (SEL24105G)\ +\'83/5.0 24.0 mm 1/80 100 Flash (off, did not fire) Hide EXIF\ +JFIFVersion - 1.02\ +X-Resolution - 300 dpi\ +Y-Resolution - 300 dpi\ +Compression - JPEG (old-style)\ +Make - SONY\ +Software - Capture One 12.1.5 Windows\ +YCbCr Positioning - Centered\ +ISO Speed - 100\ +Sensitivity Type - Recommended Exposure Index\ +Recommended Exposure Index - 100\ +Exif Version - 0230\ +Date and Time (Original) - 2022:06:25 20:17:49\ +Date and Time (Digitized) - 2022:06:25 20:17:49\ +Components Configuration - Y, Cb, Cr, -\ +Brightness Value - 6.52890625\ +Exposure Bias - 0 EV\ +Max Aperture Value - 4.0\ +Metering Mode - Multi-segment\ +Light Source - Unknown\ +Color Space - Uncalibrated\ +File Source - Digital Camera\ +Scene Type - Directly photographed\ +Custom Rendered - Normal\ +Exposure Mode - Auto\ +White Balance - Auto\ +Digital Zoom Ratio - 1\ +Focal Length (35mm format) - 24 mm\ +Scene Capture Type - Landscape\ +Contrast - Normal\ +Saturation - Normal\ +Sharpness - Normal\ +Lens Info - 24mm f/4\ +Lens Model - Sony FE 24-105mm F4 G OSS (SEL24105G)\ +Coded Character Set - UTF8\ +Envelope Record Version - 4\ +Application Record Version - 4\ +Date Created - 2022:06:25\ +Time Created - 20:17:49-08:00\ +Digital Creation Date - 2022:06:25\ +Digital Creation Time - 20:17:49-08:00\ +XMPToolkit - XMP Core 5.5.0\ +Flash Compensation - 0\ +Lens Info - 24mm f/4\ +Legacy IPTCDigest - 96878428573964D16A355A90AE57653E\ +Make - SONY\ +Creator Tool - Capture One 12.1.5 Windows\ +Camera ID - 72157664172697537\ +Camera Type - Mirrorless Camera\ +\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\sl324\slmult1\pardirnatural\partightenfactor0 +\cf2 Thanks \'97 that EXIF dump is super helpful, and it also tells us the key thing: there\'92s no GPS block in what you pasted (no GPSLatitude/GPSLongitude/GPSAltitude), so we can\'92t recover an exact coordinate from metadata.\ +\ +But we can tighten the estimate a bit using geometry:\ +\pard\tqr\tx100\tx260\li260\fi-260\sl324\slmult1\sb240\partightenfactor0 +\cf2 \'95 Eiffel Tower true position is about 48.85837 N, 2.29448 E.\ + \'95 Your view shows the river in front, with the tour-boat quay on the far bank (Port de la Bourdonnais), meaning you\'92re on the south bank (Quai de Branly side).\ + \'95 The tower is very close to centered, with the Seine running left\uc0\u8594 right across the frame and a low bridge to the left (consistent with being a bit east/downstream of the tower rather than directly at Pont d\'92I\'e9na).\ +\ +Refined estimate (still approximate)\ + \'95 lat: 48.8577 N (\'b1 0.0010)\ + \'95 long: 2.3011 E (\'b1 0.0015)\ + \'95 altitude (camera above mean sea level): ~33 m (likely 28\'9640 m)\ +\ +If you want \'93pretty close to exact\'94 without GPS:\ + \'95 tell me if the photo was shot from a riverside path at ground level vs from a higher terrace/road\ + \'95 and whether you were closer to Pont d\'92Alma or closer to the Eiffel Tower\ +\pard\tx560\tx1120\tx1680\tx2240\tx2800\tx3360\tx3920\tx4480\tx5040\tx5600\tx6160\tx6720\li260\sl324\slmult1\pardirnatural\partightenfactor0 +\cf2 and I\'92ll snap this to a specific plausible spot (within ~100\'96200 m).} \ No newline at end of file diff --git a/benchmark/references/urban/paris-eiffel/metadata.md b/benchmark/references/urban/paris-eiffel/metadata.md new file mode 100644 index 000000000..c4a38bb61 --- /dev/null +++ b/benchmark/references/urban/paris-eiffel/metadata.md @@ -0,0 +1,65 @@ +# Paris Eiffel Tower — Seine Golden Hour + +**Full Cesium → Living Replacement benchmark.** Tests every layer of the geo-world pipeline. + +## Source +- **File**: Flickr, Sony A7 III, 24mm f/5.0 +- **Date**: 2022-06-25 20:17 (golden hour, ~90min before sunset) +- **Location**: South bank of Seine, Quai de Branly +- **Coordinates**: 48.8577 N, 2.3011 E +- **Altitude**: ~33m above sea level + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | CESIUM (GEO + SKY + WATER) | +| Setting | Urban river, Paris | +| Time of Day | Golden hour (~20:17, June) | +| Season | Summer | +| Weather | Clear with high stratus | +| Mood | Serene, warm, golden | + +## Key Elements (27 total — see breakdown.md) +1. **Eiffel Tower** — hero element, lit golden by low western sun +2. **Seine river** — foreground, light chop, sky/gold reflections +3. **Sky gradient** — warm horizon to blue zenith, thin stratus + cumulus +4. **Pont de Bir-Hakeim** — stone arch bridge, left of frame +5. **Tour boats** — white hull, moored at quay, string lights +6. **Tree line** — Champ de Mars, 15-20 mature deciduous trees +7. **Haussmann buildings** — cream stone, mansard roofs, behind trees +8. **Street furniture** — lamps, bollards, signs, closed cafe + +## Replacement Layers (Cesium → Living) +| Layer | Cesium (static) | Living Replacement | +|-------|----------------|-------------------| +| Sky | None (no sky in tiles) | SkyAtmosphere + VolumetricCloud | +| Water | Baked blue texture | UE5 Water Body (Seine, reflections, ripple) | +| Lighting | Baked shadows | DirectionalLight, golden hour sun angle | +| Vegetation | Frozen trees | UE5 Foliage (wind, proper materials) | +| Boats | Static mesh | Spawned props (optional animation) | + +## Cesium Setup +```json +{"type": "spawn_cesium_world", "latitude": 48.8577, "longitude": 2.3011, "altitude": 0} +{"type": "set_camera_geo", "latitude": 48.8577, "longitude": 2.3011, "height": 5, "pitch": 5, "yaw": 340} +``` + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/urban/paris-eiffel/reference.jpg \ + --domain CESIUM \ + --llm claude-code \ + --mcp-port 30012 \ + --max-iterations 30 +``` + +## What Success Looks Like +- Eiffel Tower visible and correctly lit golden from the west +- Seine has reflective water surface with gentle ripple (not baked texture) +- Sky gradient from warm horizon to blue zenith with cloud layers +- Golden hour colour temperature (~3000-3500K direct, ~7000K fill) +- Atmospheric perspective on distant elements +- Overall mood matches: serene, warm, golden Paris evening diff --git a/benchmark/references/urban/paris-eiffel/reference.jpg b/benchmark/references/urban/paris-eiffel/reference.jpg new file mode 100644 index 000000000..3e285e576 --- /dev/null +++ b/benchmark/references/urban/paris-eiffel/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:58816e5780447d17cfa97f231aa16779b01d9425c6134a7cac1f119d796666df +size 6883490 diff --git a/benchmark/references/weather/fog/metadata.md b/benchmark/references/weather/fog/metadata.md new file mode 100644 index 000000000..698747eb4 --- /dev/null +++ b/benchmark/references/weather/fog/metadata.md @@ -0,0 +1,33 @@ +# Ocean Foam - Churning Sea + +## Scene Characterisation + +| Property | Value | +|----------|-------| +| Environment | Outdoor | +| Domain | WEATHER | +| Setting | Open ocean surface | +| Time of Day | Daytime | +| Weather | Rough seas | +| Mood | Turbulent, raw | + +## Key Elements +1. **Churning water** — deep teal-blue ocean with white foam patterns +2. **Sea foam** — white/cream foam swirling across surface +3. **Wave texture** — complex turbulent water surface patterns +4. **Colour palette** — teal, aqua, white foam against dark water +5. **No horizon** — close-up water surface, no sky visible + +## Brain Config +```bash +python -m brain \ + --reference benchmark/references/weather/fog/reference.jpg \ + --domain WEATHER \ + --llm claude-code +``` + +## What Success Looks Like +- Turbulent ocean surface with foam patterns +- Deep teal water colour +- White foam swirls and spray +- Close-up perspective with no horizon line diff --git a/benchmark/references/weather/fog/reference.jpg b/benchmark/references/weather/fog/reference.jpg new file mode 100644 index 000000000..65d284afc --- /dev/null +++ b/benchmark/references/weather/fog/reference.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:78a5a5460e010b9d707b00862f4385db72de6eda448b44cc9db3b782366c3271 +size 637950 diff --git a/training_sets/README.md b/training_sets/README.md new file mode 100644 index 000000000..32ed970b7 --- /dev/null +++ b/training_sets/README.md @@ -0,0 +1,52 @@ +# Training Sets + +Brain training reference images organized by domain. All images are CC0 / public domain. + +## Directory Structure + +``` +training_sets/ +├── sunsets/ ← SKY domain: sunset, golden hour, sky gradients +├── oceans/ ← SEA domain: ocean, waves, coastal +├── food/ ← FOOD domain: food photography, plating +├── portraits/ ← PORTRAIT domain: people, faces, characters +├── urban/ ← URBAN domain: city, architecture, streets +├── nature/ ← NATURE domain: mountains, forests, landscapes +└── weather/ ← WEATHER domain: fog, rain, snow, storms +``` + +## Usage + +From the `ralpha` repo: + +```bash +# Run batch training on a domain +python -m brain.batch --dir /path/to/ralpha-ue5/training_sets/sunsets/ \ + --domain SKY --llm gemini --max-iterations 20 --shuffle + +# Or symlink for convenience +ln -s /path/to/ralpha-ue5/training_sets ~/ralpha/training_sets +``` + +## Sourcing Images + +```bash +# Download CC0 sunset images (PxHere, with EXIF) +cd /path/to/ralpha +python scripts/dev/download_training_sunsets.py --output /path/to/ralpha-ue5/training_sets/sunsets/ +``` + +## EXIF Data + +Images with intact EXIF are preferred — the brain extracts: +- **Camera model + lens** → locks CineCamera focal length, aperture +- **Date/time** → computes exact sun position via ephemeris +- **GPS** → loads Cesium tiles for that location, locks sun azimuth +- **ISO/aperture/shutter** → exposure starting point + +Images without EXIF still work — the brain uses VLM analysis to estimate scene parameters. + +## Licensing + +All images in this directory must be CC0 (Creative Commons Zero) or public domain. +The `manifest.json` in each subdirectory records the source and license of each image. diff --git a/training_sets/sunsets/manifest.json b/training_sets/sunsets/manifest.json new file mode 100644 index 000000000..a3b12a2b1 --- /dev/null +++ b/training_sets/sunsets/manifest.json @@ -0,0 +1,644 @@ +{ + "source": "CC0 public domain (PxHere + StockSnap)", + "license": "CC0 1.0 Universal", + "count": 114, + "downloaded": [ + 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