Datasets:
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"""Build the three foundation-pipeline slide diagrams.
The public foundation-direction visuals intentionally use the direction-slide
sources provided by the project owner, not generated concept art. Clean slide
PNGs are used directly when available; older photo sources are restored only as
fallbacks. The output asset names stay stable for the website, README, and HF
mirrors.
"""
from __future__ import annotations
from dataclasses import dataclass
from pathlib import Path
from PIL import Image, ImageEnhance, ImageFilter, ImageOps
ROOT = Path(__file__).resolve().parents[1]
OUT_DIR = ROOT / "docs/assets/foundation-pipelines"
SOURCE_DIR = OUT_DIR / "source-photos"
SOURCE_SLIDE_DIR = OUT_DIR / "source-slides"
TARGET_WIDTH = 2560
@dataclass(frozen=True)
class PhotoAsset:
source: str
slide_source: str | None
output: str
title: str
brightness: float
contrast: float
color: float
sharpness: float
PHOTOS = [
PhotoAsset(
source="spatial-intelligence-source.jpg",
slide_source="spatial-intelligence-slide.png",
output="spatial-intelligence-pipeline.png",
title="Spatial intelligence slide diagram",
brightness=1.04,
contrast=1.18,
color=1.08,
sharpness=1.36,
),
PhotoAsset(
source="human-video-world-model-source.jpg",
slide_source="human-video-world-model-slide.png",
output="human-video-world-model-pipeline.png",
title="Human-video world-model slide diagram",
brightness=1.05,
contrast=1.20,
color=1.08,
sharpness=1.34,
),
PhotoAsset(
source="vision-language-action-source.jpg",
slide_source="vision-language-action-slide.png",
output="vision-language-action-pipeline.png",
title="Vision-language-action slide diagram",
brightness=1.06,
contrast=1.18,
color=1.09,
sharpness=1.34,
),
]
def enhance(asset: PhotoAsset) -> Image.Image:
if asset.slide_source:
slide_path = SOURCE_SLIDE_DIR / asset.slide_source
if slide_path.is_file():
img = Image.open(slide_path).convert("RGB")
img = ImageOps.exif_transpose(img)
if img.width != TARGET_WIDTH:
scale = TARGET_WIDTH / img.width
target_size = (TARGET_WIDTH, round(img.height * scale))
img = img.resize(target_size, Image.Resampling.LANCZOS)
return img
source_path = SOURCE_DIR / asset.source
if not source_path.is_file():
raise FileNotFoundError(f"Missing source slide/photo for {asset.output}: {source_path}")
img = Image.open(source_path).convert("RGB")
img = ImageOps.exif_transpose(img)
img = ImageOps.autocontrast(img, cutoff=0.35)
img = ImageEnhance.Brightness(img).enhance(asset.brightness)
img = ImageEnhance.Contrast(img).enhance(asset.contrast)
img = ImageEnhance.Color(img).enhance(asset.color)
if img.width != TARGET_WIDTH:
scale = TARGET_WIDTH / img.width
target_size = (TARGET_WIDTH, round(img.height * scale))
img = img.resize(target_size, Image.Resampling.LANCZOS)
# Gentle deblur/edge recovery without hallucinating slide text.
smooth = img.filter(ImageFilter.GaussianBlur(radius=0.55))
img = Image.blend(smooth, img, 0.68)
img = ImageEnhance.Sharpness(img).enhance(asset.sharpness)
img = img.filter(ImageFilter.UnsharpMask(radius=1.15, percent=135, threshold=3))
return img
def main() -> int:
OUT_DIR.mkdir(parents=True, exist_ok=True)
for asset in PHOTOS:
output = OUT_DIR / asset.output
image = enhance(asset)
image.save(output, optimize=True, compress_level=9)
print(f"{asset.title}: {output} {image.width}x{image.height} {output.stat().st_size} bytes")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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