fix(engine): auto-normalize VFR video inputs to CFR before frame extraction (#360)

* fix(engine): auto-normalize VFR video inputs to CFR before frame extraction

Screen recordings (macOS ScreenCaptureKit, QuickTime, phone videos) are
commonly variable-frame-rate. When such inputs hit the extractor's
`-ss <start> -i <video> -t <dur> -vf fps=N` pipeline, the fps filter
can emit fewer frames than requested — for a 4-second 30fps segment
starting mid-file, the output was ~90 frames instead of 120.

`FrameLookupTable.getFrameAtTime` returns null for out-of-range indices,
so the compositor held the last valid frame and the user perceived the
video as freezing. This matches the bug report from an X community post
where a user said "all of them freezes" on their screen recording scenes.

The engine already detects VFR via `metadata.isVFR` in ffprobe.ts but
never acted on it — the compiler only logged a warning. This change
mirrors the existing SDR→HDR normalization pattern: when a source is
detected as VFR, re-encode only the used segment with
`-fps_mode cfr -r <fps> -preset fast -crf 18` before extraction.

Scoping the re-encode to `[mediaStart, mediaStart+duration]` means a
30-second clip cut from a 60-minute screen recording pays ~1s of
transcode cost, not 18s. Benchmarked locally:

  Baseline (current):         32-39% duplicate frames, 25% frame-count
                              shortfall on mid-file segments.
  Tier 1 (flag changes only): ~same — fps filter issue is not flag-fixable.
  Tier 2 (CFR preflight):     1.7-6% duplicate frames, correct frame
                              count in every scenario tested.

The compiler warning that previously told users to manually re-encode
is downgraded to `console.info` since the engine now handles it.

— Rames Jusso

* refactor(engine): clean up VFR normalization loop after review

- Drop the `vfrNormDirCreated` flag; `mkdirSync({recursive:true})` is
  idempotent and cheap.
- Don't re-wrap the `VFR→CFR conversion failed` prefix — `convertVfrToCfr`
  already throws a message with that label; adding it again in the catch
  produced "VFR→CFR conversion failed: VFR→CFR conversion failed (exit 1)".
- Shorten the Phase 2b header comment; the function docstring above
  `convertVfrToCfr` already explains the failure modes and rationale.
- Note which frame windows the VFR fixture's select filter drops so the
  magic numbers are scannable.

No behavior change; 311/311 engine tests still pass.

— Rames Jusso

* test(engine): add VFR regression unit tests

Adds a describe block that synthesizes a VFR fixture via ffmpeg and asserts
the extractor produces the expected frame count (no shortfall) and no long
runs of duplicate frames — the user-visible "frozen screen recording"
symptom. Covers both a mid-file segment and the full-file case.

Guarded with describe.skipIf(!HAS_FFMPEG) because the CI Test job on
ubuntu-24.04 and the Windows test-windows job don't install ffmpeg. The
producer-level regression test in packages/producer/tests/vfr-screen-recording/
runs inside Dockerfile.test (which has ffmpeg) and is the primary CI signal
for this bug; these unit tests are supplementary coverage for local and
any ffmpeg-equipped CI environment.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test(producer): add vfr-screen-recording regression test

End-to-end CI regression coverage for PR #360 via the existing
regression-harness: renders a 3s composition containing a real macOS
ScreenCaptureKit clip (r_frame_rate=120, avg≈36fps) seeked to
mediaStart=1, then PSNR-compares against a committed output.mp4.

Fixture src/clip.mp4 (108 KB) is a 5-second excerpt downscaled to 480×332
with -fps_mode passthrough to preserve the VFR timestamps. Content is the
public hyperframes OSS repo root page — see NOTICE.md for provenance.

With the fix applied, all 100 PSNR checkpoints pass. With the fix reverted,
66 of 100 fail (PSNR drops from ~43 dB to ~20 dB in the duplicate-frame
windows). Tagged "regression,video,vfr" so it runs in the fast shard
of .github/workflows/regression.yml automatically.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* test(producer): regenerate vfr-screen-recording baseline in Docker

The committed golden output.mp4 was initially rendered on the host machine;
CI runs the renderer inside Dockerfile.test with a different Chrome +
ffmpeg build, producing pixel-level drift that failed PSNR at 54/100
checkpoints (~20 dB vs 41 dB in the VFR sparse-content windows). Both
renders are valid — the VFR source has inherent sampling ambiguity in
static segments, and different Chrome/ffmpeg builds make different valid
choices.

Regenerated the baseline via `bun run docker:test:update vfr-screen-recording`
so it matches the Docker environment CI actually uses. Matches the flow
the existing sub-composition-video, hdr-pq, etc. baselines were captured
with.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* docs: document that producer test baselines must be captured in Docker

Hit this 2026-04-21 with the vfr-screen-recording regression test:
host-generated output.mp4 baseline tripped 54/100 PSNR checkpoints in CI
because Chrome + ffmpeg drift between the host and Dockerfile.test.

Document the `bun run --cwd packages/producer docker:test:update <name>`
flow so future contributors don't repeat the mistake.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
James Russo
2026-04-21 12:14:23 -07:00
committed by GitHub
co-authored by Claude Opus 4.7
parent b98093aa1c
commit ffc06827c4
10 changed files with 461 additions and 5 deletions
+20
View File
@@ -45,6 +45,26 @@ When adding a new CLI command:
5. **Document it** in `docs/packages/cli.mdx` — add a section with usage examples and flags.
6. Validate by running `npx tsx packages/cli/src/cli.ts --help` (command appears in the list) and `npx tsx packages/cli/src/cli.ts <name> --help` (examples appear).
### Regression Test Golden Baselines (producer)
`packages/producer/tests/<name>/output/output.mp4` baselines MUST be generated
inside `Dockerfile.test`, not on your host. CI renders inside that Docker image
with a specific Chrome + ffmpeg build; pixel-level output drifts across
different host Chrome/ffmpeg versions and will fail PSNR at dozens of
checkpoints even when the code is correct.
```bash
# Build the test image once:
docker build -t hyperframes-producer:test -f Dockerfile.test .
# Generate or update a baseline (runs the harness with --update inside Docker):
bun run --cwd packages/producer docker:test:update <test-name>
```
Never run `bun run --cwd packages/producer test:update` directly from the
host to capture a baseline that will be committed — the resulting output.mp4
will not match CI. Use it only for local-only experimentation.
## Skills
Composition authoring (not repo development) is guided by skills installed via `npx skills add heygen-com/hyperframes`. See `skills/` for source. Invoke `/hyperframes`, `/hyperframes-cli`, `/hyperframes-registry`, or `/gsap` when authoring compositions. When a user provides a website URL and wants a video, invoke `/website-to-hyperframes` — it runs the full 7-step capture-to-video pipeline.
@@ -1,5 +1,25 @@
import { describe, expect, it } from "vitest";
import { parseVideoElements, parseImageElements } from "./videoFrameExtractor.js";
import { afterAll, beforeAll, describe, expect, it } from "vitest";
import { existsSync, mkdirSync, mkdtempSync, readFileSync, readdirSync, rmSync } from "node:fs";
import { createHash } from "node:crypto";
import { join } from "node:path";
import { tmpdir } from "node:os";
import { spawnSync } from "node:child_process";
import {
parseVideoElements,
parseImageElements,
extractAllVideoFrames,
type VideoElement,
} from "./videoFrameExtractor.js";
import { extractVideoMetadata } from "../utils/ffprobe.js";
import { runFfmpeg } from "../utils/runFfmpeg.js";
// ffmpeg is not preinstalled on GitHub's ubuntu-24.04 runners. The producer
// regression test at packages/producer/tests/vfr-screen-recording/ runs inside
// Dockerfile.test (which does include ffmpeg) and is the primary CI signal
// for this bug. Locally and in any CI job with ffmpeg on PATH, the tests
// below run too — they exercise the extractor in isolation against a
// synthesized VFR fixture.
const HAS_FFMPEG = spawnSync("ffmpeg", ["-version"]).status === 0;
describe("parseVideoElements", () => {
it("parses videos without an id or data-start attribute", () => {
@@ -81,3 +101,139 @@ describe("parseImageElements", () => {
expect(images[0]!.end).toBe(5);
});
});
// Regression test for the VFR (variable frame rate) freeze bug.
// Screen recordings and phone videos often have irregular timestamps.
// When such inputs hit `extractVideoFramesRange`'s `-ss <start> -i ... -t <dur>
// -vf fps=N` pipeline, the fps filter can emit fewer frames than requested —
// e.g. a 4-second segment at 30fps would produce ~90 frames instead of 120.
// FrameLookupTable.getFrameAtTime then returns null for out-of-range indices
// and the compositor holds the last valid frame, which the user perceives as
// the video freezing. extractAllVideoFrames normalizes VFR sources to CFR
// before extraction to fix this.
describe.skipIf(!HAS_FFMPEG)("extractAllVideoFrames on a VFR source", () => {
const FIXTURE_DIR = mkdtempSync(join(tmpdir(), "hf-vfr-test-"));
const VFR_FIXTURE = join(FIXTURE_DIR, "vfr_screen.mp4");
beforeAll(async () => {
// 10s testsrc2 at 60fps, ~40% of frames dropped via select filter and
// encoded with -vsync vfr so timestamps are irregular. Declared fps 60,
// actual average ~36 — well over the 10% threshold used by isVFR.
// The select expression drops four 1-second windows (frames 30-89,
// 180-239, 330-389, 480-539) to simulate static segments in a screen
// recording where no pixels changed.
// -g/-keyint_min 600 forces a single keyframe so mid-segment seeks in the
// mediaStart=3 test don't snap to an intermediate IDR and drift the count.
const result = await runFfmpeg([
"-y",
"-hide_banner",
"-loglevel",
"error",
"-f",
"lavfi",
"-i",
"testsrc2=s=320x180:d=10:rate=60",
"-vf",
"drawtext=text='n=%{n}':fontsize=24:fontcolor=white:x=10:y=10:box=1:boxcolor=black@0.6," +
"select='not(between(n,30,89))*not(between(n,180,239))*not(between(n,330,389))*not(between(n,480,539))'",
"-vsync",
"vfr",
"-c:v",
"libx264",
"-preset",
"ultrafast",
"-pix_fmt",
"yuv420p",
"-g",
"600",
"-keyint_min",
"600",
VFR_FIXTURE,
]);
if (!result.success) {
throw new Error(
`ffmpeg fixture synthesis failed (${result.exitCode}): ${result.stderr.slice(-400)}`,
);
}
}, 30_000);
afterAll(() => {
if (existsSync(FIXTURE_DIR)) rmSync(FIXTURE_DIR, { recursive: true, force: true });
});
it("detects the synthesized fixture as VFR", async () => {
const md = await extractVideoMetadata(VFR_FIXTURE);
expect(md.isVFR).toBe(true);
});
it("produces the expected frame count for a mid-file segment", async () => {
const outputDir = join(FIXTURE_DIR, "out-mid-segment");
mkdirSync(outputDir, { recursive: true });
const video: VideoElement = {
id: "v1",
src: VFR_FIXTURE,
start: 0,
end: 4,
mediaStart: 3,
hasAudio: false,
};
const result = await extractAllVideoFrames([video], FIXTURE_DIR, {
fps: 30,
outputDir,
});
expect(result.errors).toEqual([]);
expect(result.extracted).toHaveLength(1);
const frames = readdirSync(join(outputDir, "v1")).filter((f) => f.endsWith(".jpg"));
// Pre-fix behavior produced ~90 frames (a 25% shortfall).
expect(frames.length).toBeGreaterThanOrEqual(119);
expect(frames.length).toBeLessThanOrEqual(121);
}, 60_000);
// Asserts both frame-count correctness and that we don't emit long runs of
// byte-identical "duplicate" frames — the user-visible "frozen screen
// recording" symptom. Pre-fix duplicate rate on this fixture is ~38%
// (116/300); on the actual reporter's ScreenCaptureKit clip, 1844% across
// segments. <10% threshold leaves margin across ffmpeg versions without
// letting a regression slip through.
it("produces the full frame count and no duplicate-frame runs on the full VFR file", async () => {
const outputDir = join(FIXTURE_DIR, "out-full");
mkdirSync(outputDir, { recursive: true });
const video: VideoElement = {
id: "vfull",
src: VFR_FIXTURE,
start: 0,
end: 10,
mediaStart: 0,
hasAudio: false,
};
const result = await extractAllVideoFrames([video], FIXTURE_DIR, {
fps: 30,
outputDir,
});
expect(result.errors).toEqual([]);
const frameDir = join(outputDir, "vfull");
const frames = readdirSync(frameDir)
.filter((f) => f.endsWith(".jpg"))
.sort();
expect(frames.length).toBeGreaterThanOrEqual(299);
expect(frames.length).toBeLessThanOrEqual(301);
let prevHash: string | null = null;
let duplicates = 0;
for (const f of frames) {
const hash = createHash("sha256")
.update(readFileSync(join(frameDir, f)))
.digest("hex");
if (hash === prevHash) duplicates += 1;
prevHash = hash;
}
const duplicateRate = duplicates / frames.length;
expect(duplicateRate).toBeLessThan(0.1);
}, 60_000);
});
@@ -296,6 +296,62 @@ async function convertSdrToHdr(
}
}
/**
* Re-encode a VFR (variable frame rate) video segment to CFR so the downstream
* fps filter can extract frames reliably. Screen recordings, phone videos, and
* some webcams emit irregular timestamps that cause two failure modes:
* 1. Output has fewer frames than expected (e.g. -ss 3 -t 4 produces 90
* frames instead of 120 @ 30fps). FrameLookupTable.getFrameAtTime then
* returns null for late timestamps and the caller freezes on the last
* valid frame.
* 2. Large duplicate-frame runs where source PTS don't land on target
* timestamps.
*
* Only the [startTime, startTime+duration] window is re-encoded, so long
* recordings aren't fully transcoded when only a short clip is used.
*/
async function convertVfrToCfr(
inputPath: string,
outputPath: string,
targetFps: number,
startTime: number,
duration: number,
signal?: AbortSignal,
config?: Partial<Pick<EngineConfig, "ffmpegProcessTimeout">>,
): Promise<void> {
const timeout = config?.ffmpegProcessTimeout ?? DEFAULT_CONFIG.ffmpegProcessTimeout;
const args = [
"-ss",
String(startTime),
"-i",
inputPath,
"-t",
String(duration),
"-fps_mode",
"cfr",
"-r",
String(targetFps),
"-c:v",
"libx264",
"-preset",
"fast",
"-crf",
"18",
"-c:a",
"copy",
"-y",
outputPath,
];
const result = await runFfmpeg(args, { signal, timeout });
if (!result.success) {
throw new Error(
`VFR→CFR conversion failed (exit ${result.exitCode}): ${result.stderr.slice(-300)}`,
);
}
}
export async function extractAllVideoFrames(
videos: VideoElement[],
baseDir: string,
@@ -371,6 +427,47 @@ export async function extractAllVideoFrames(
}
}
// Phase 2b: Re-encode VFR inputs to CFR so the fps filter in Phase 3 produces
// the expected frame count. Only the used segment is transcoded.
const vfrNormDir = join(options.outputDir, "_vfr_normalized");
for (let i = 0; i < resolvedVideos.length; i++) {
if (signal?.aborted) break;
const entry = resolvedVideos[i];
if (!entry) continue;
const metadata = await extractVideoMetadata(entry.videoPath);
if (!metadata.isVFR) continue;
let segDuration = entry.video.end - entry.video.start;
if (!Number.isFinite(segDuration) || segDuration <= 0) {
const sourceRemaining = metadata.durationSeconds - entry.video.mediaStart;
segDuration = sourceRemaining > 0 ? sourceRemaining : metadata.durationSeconds;
}
mkdirSync(vfrNormDir, { recursive: true });
const normalizedPath = join(vfrNormDir, `${entry.video.id}_cfr.mp4`);
try {
await convertVfrToCfr(
entry.videoPath,
normalizedPath,
options.fps,
entry.video.mediaStart,
segDuration,
signal,
config,
);
entry.videoPath = normalizedPath;
// Segment-scoped re-encode starts the new file at t=0, so downstream
// extraction must seek from 0, not the original mediaStart. Shallow-copy
// to avoid mutating the caller's VideoElement.
entry.video = { ...entry.video, mediaStart: 0 };
} catch (err) {
errors.push({
videoId: entry.video.id,
error: err instanceof Error ? err.message : String(err),
});
}
}
// Phase 3: Extract frames (parallel)
const results = await Promise.all(
resolvedVideos.map(async ({ video, videoPath }) => {
@@ -1028,9 +1028,10 @@ export async function compileForRender(
);
}
if (metadata.isVFR) {
console.warn(
`[Compiler] WARNING: Video "${video.id}" is variable frame rate (VFR). ` +
`Screen recordings and phone videos are often VFR, which causes stuttering and frame skipping in renders. Re-encode with: ${reencode}`,
console.info(
`[Compiler] Video "${video.id}" is variable frame rate (VFR); ` +
`the engine will normalize it to CFR before frame extraction. ` +
`If rendering feels slow on this video, pre-encode once with: ${reencode}`,
);
}
})
@@ -0,0 +1,22 @@
# Source attribution
`src/clip.mp4` is a 5-second excerpt from a macOS ScreenCaptureKit (ReplayKit)
recording, used here as a regression fixture for the VFR (variable-frame-rate)
freeze bug fixed in PR #360.
- **Original duration**: 21s, recorded via `ReplayKitRecording` (the
`com.apple.quicktime.author` QuickTime tag identifies this).
- **Excerpt**: 16s21s of the original, downscaled from 2746×1902 to 480×332,
re-encoded with `ffmpeg -fps_mode passthrough -c:v libx264 -preset slow
-crf 28 -an` to preserve the original VFR timestamps.
- **Recorded content**: the public `heygen-com/hyperframes` GitHub repo root
page. No private, proprietary, or user-identifying content.
## Properties preserved from the original
- `r_frame_rate`: 120/1
- `avg_frame_rate`: ~36.1fps (21720/601)
- `isVFR`: true (70% delta vs `r_frame_rate`, well over the 10% threshold in
`ffprobe.ts`)
- Pre-fix duplicate-frame rate: ~34% on a mid-file 3s segment extracted at
30fps — matches the 1844% observed across segments of the full recording.
@@ -0,0 +1,13 @@
{
"name": "vfr-screen-recording",
"description": "Regression test for the VFR (variable-frame-rate) screen-recording freeze bug (PR #360). Renders a 3-second composition with a macOS ScreenCaptureKit clip (r_frame_rate=120, avg≈36fps) seeked to mediaStart=1. Pre-fix, the fps filter emitted long runs of duplicate frames that the compositor held as a frozen image; post-fix, VFR→CFR normalization keeps frame-accurate timing.",
"tags": ["regression", "video", "vfr"],
"minPsnr": 28,
"maxFrameFailures": 2,
"minAudioCorrelation": 0,
"maxAudioLagWindows": 1,
"renderConfig": {
"fps": 30,
"workers": 1
}
}
File diff suppressed because one or more lines are too long
@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:7aec7945d08be6b3c69464d9cf89445c44d52c9e0f89bad367592268964b2b22
size 472149
@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:602459ff96bcd7cd4bf306935b857676434bb65b2a1e395d30ce19a225bbd359
size 108396
@@ -0,0 +1,69 @@
<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<title>VFR Screen Recording Regression</title>
<style>
html,
body {
margin: 0;
padding: 0;
background: #000;
}
#main {
position: relative;
width: 480px;
height: 332px;
overflow: hidden;
}
#clip {
position: absolute;
inset: 0;
width: 100%;
height: 100%;
object-fit: cover;
}
#label {
position: absolute;
top: 16px;
left: 16px;
z-index: 10;
padding: 6px 12px;
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
font-size: 16px;
font-weight: 700;
color: #ffffff;
background: rgba(0, 0, 0, 0.55);
border-radius: 6px;
letter-spacing: 0.04em;
}
</style>
</head>
<body>
<div
id="main"
data-composition-id="vfr-screen-recording"
data-start="0"
data-duration="3"
data-width="480"
data-height="332"
>
<video
id="clip"
class="clip"
data-start="0"
data-duration="3"
data-media-start="1"
data-track-index="0"
src="clip.mp4"
muted
playsinline
></video>
<div id="label">VFR</div>
</div>
<script>
window.__timelines = window.__timelines || {};
</script>
</body>
</html>