import { Layer, Curves, Vignette, Blur } from "gitframes";

const videoLayer = Layer.video("assets/footage.mp4", { fit: "cover" })
  .withEffect(new Curves({
    master: [{ x: 0, y: 0.05 }, { x: 0.5, y: 0.52 }, { x: 1, y: 0.95 }]
  }))
  .withEffect(new Vignette({ strength: 0.4, radius: 0.85, softness: 0.6 }))
  .withEffect(new Blur({ strength: 8, blurType: "Gaussian" }));

import { Composition, FilmGrain, ColorBalance } from "gitframes";

const comp = new Composition({ width: 1920, height: 1080, fps: 30 });

// Shared organic 35mm grain applied across titles, background video, and vector graphics
comp.apply(new FilmGrain({
  strength: 0.06,
  size: 1.5,
  monochrome: true,
  animated: true,
  speed: 1.0,
}));

comp.apply(new ColorBalance({
  shadows: { cyanRed: 4, yellowBlue: -6 },
  highlights: { cyanRed: 2, yellowBlue: -4 },
  preserveLuminosity: true,
}));

// Box blur on a tracked object or explicit bounding rectangle
const blurredPlate = comp.section({
  source: "assets/interview.mp4",
  x: 400,
  y: 200,
  width: 300,
  height: 300,
  borderRadius: 150,
  effects: [new Blur({ strength: 25, blurType: "Gaussian" })],
});

import { Media, ApplyLUT, Crop } from "gitframes";

const clip = Media.video("assets/raw_log.mp4")
  .apply(new ApplyLUT({ lutUrl: "assets/luts/cinematic.cube", intensity: 1.0 }))
  .apply(new Crop({ cropType: "rectangle", topPercentage: 10, heightPercentage: 80 }));

const pngBuffer = await clip.renderFrame({ atMs: 1500 });

// Whole composition: returns the reactive bundle
const vision = comp.withVision({ enableSegmentation: true, enablePose: true });

// One layer: renders through a node mode
Layer.video("assets/dancer.mp4").withVision({ mode: "matte", enableSegmentation: true });

comp.addSubjectSandwich({
  source: "assets/dancer.mp4",
  behind: [
    Layer.text("HEADLINE BEHIND", {
      fontSize: 120,
      fill: "#FF5A1F",
      fontWeight: 900
    })
  ],
  feather: 4,
  fit: "cover"
});

const vision = comp.withVision({ enableDetection: true });
comp.addSmartFraming({
  source: "assets/action.mp4",
  target: vision.objects.primary,
  targetAspect: 9 / 16,
  damping: 0.15,
  leadHeadroom: 0.1
});

const vision = comp.withVision({ enableSegmentation: true });
comp.addSubjectOutline(vision.segmentation.subject, {
  source: "assets/character.mp4",
  color: "#FF5A1F",
  width: 6,
  blur: 12
});

const vision = comp.withVision({ classes: ["person"] });
layer.blurRegion(vision.objects.byCategory("person"), { strength: 30 });

const report = await comp.analyzeVisionSequence("assets/street.mp4", {
  tasks: ["detect", "pose"],
  categories: ["person"]
});
report.tracks; // [{ trackId, category, frames: [start, end], centerPath, ... }]

import { Layer, Blur, sineSignal, computed } from "gitframes";

// Oscillating breath blur
const blurSignal = sineSignal({
  frequencyHz: 0.5,
  min: 0,
  max: 20
});

const layer = Layer.image("assets/bg.jpg")
  .withEffect(new Blur({
    strength: blurSignal,
    blurType: "Gaussian"
  }));