mirror of
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fix: CI fixes, security audit, remotion skill, lead-intelligence, npm audit (#1039)
* fix(ci): resolve cross-platform test failures - Sanity check script (check-codex-global-state.sh) now falls back to grep -E when ripgrep is not available, fixing the codex-hooks sync test on all CI platforms. Patterns converted to POSIX ERE for portability. - Unicode safety test accepts both / and \ path separators so the executable-file assertion passes on Windows. - Gacha test sets PYTHONUTF8=1 so Python uses UTF-8 stdout encoding on Windows instead of cp1252, preventing UnicodeEncodeError on box-drawing characters. - Quoted-hook-path test skipped on Windows where NTFS disallows double-quote characters in filenames. * feat: port remotion-video-creation skill (29 rules), restore missing files New skill: - remotion-video-creation: 29 domain-specific Remotion rules covering 3D/Three.js, animations, audio, captions, charts, compositions, fonts, GIFs, Lottie, measuring, sequencing, tailwind, text animations, timing, transitions, trimming, and video embedding. Ported from personal skills. Restored: - autonomous-agent-harness/SKILL.md (was in commit but missing from worktree) - lead-intelligence/ (full directory restored from branch commit) Updated: - manifests/install-modules.json: added remotion-video-creation to media-generation - README.md + AGENTS.md: synced counts to 139 skills Catalog validates: 30 agents, 60 commands, 139 skills. * fix(security): pin MCP server versions, add dependabot, pin github-script SHA Critical: - Pin all npx -y MCP server packages to specific versions in .mcp.json to prevent supply chain attacks via version hijacking: - @modelcontextprotocol/server-github@2025.4.8 - @modelcontextprotocol/server-memory@2026.1.26 - @modelcontextprotocol/server-sequential-thinking@2025.12.18 - @playwright/mcp@0.0.69 (was 0.0.68) Medium: - Add .github/dependabot.yml for weekly npm + github-actions updates with grouped minor/patch PRs - Pin actions/github-script to SHA (was @v7 tag, now pinned to commit) * feat: add social-graph-ranker skill — weighted network proximity scoring New skill: social-graph-ranker - Weighted social graph traversal with exponential decay across hops - Bridge Score: B(m) = Σ w(t) · λ^(d(m,t)-1) ranks mutuals by target proximity - Extended Score incorporates 2nd-order network (mutual-of-mutual connections) - Final ranking includes engagement bonus for responsive connections - Runs in parallel with lead-intelligence skill for combined warm+cold outreach - Supports X API + LinkedIn CSV for graph harvesting - Outputs tiered action list: warm intros, direct outreach, network gap analysis Added to business-content install module. Catalog validates: 30/60/140. * fix(security): npm audit fix — resolve all dependency vulnerabilities Applied npm audit fix --force to resolve: - minimatch ReDoS (3 vulnerabilities, HIGH) - smol-toml DoS (MODERATE) - brace-expansion memory exhaustion (MODERATE) - markdownlint-cli upgraded from 0.47.0 to 0.48.0 npm audit now reports 0 vulnerabilities. * fix: resolve markdown lint and yarn lockfile sync - MD047: ensure single trailing newline on all remotion rule files - MD012: remove consecutive blank lines in lottie, measuring-dom-nodes, trimming - MD034: wrap bare URLs in angle brackets (tailwind, transcribe-captions) - yarn.lock: regenerated to sync with npm audit changes in package.json * fix: replace unicode arrows in lead-intelligence (CI unicode safety check)
This commit is contained in:
Affaan Mustafa
229
skills/remotion-video-creation/rules/extract-frames.md
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229
skills/remotion-video-creation/rules/extract-frames.md
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---
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name: extract-frames
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description: Extract frames from videos at specific timestamps using Mediabunny
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metadata:
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tags: frames, extract, video, thumbnail, filmstrip, canvas
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---
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# Extracting frames from videos
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Use Mediabunny to extract frames from videos at specific timestamps. This is useful for generating thumbnails, filmstrips, or processing individual frames.
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## The `extractFrames()` function
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This function can be copy-pasted into any project.
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```tsx
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import {
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ALL_FORMATS,
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Input,
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UrlSource,
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VideoSample,
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VideoSampleSink,
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} from "mediabunny";
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type Options = {
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track: { width: number; height: number };
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container: string;
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durationInSeconds: number | null;
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};
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export type ExtractFramesTimestampsInSecondsFn = (
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options: Options
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) => Promise<number[]> | number[];
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export type ExtractFramesProps = {
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src: string;
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timestampsInSeconds: number[] | ExtractFramesTimestampsInSecondsFn;
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onVideoSample: (sample: VideoSample) => void;
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signal?: AbortSignal;
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};
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export async function extractFrames({
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src,
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timestampsInSeconds,
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onVideoSample,
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signal,
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}: ExtractFramesProps): Promise<void> {
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using input = new Input({
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formats: ALL_FORMATS,
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source: new UrlSource(src),
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});
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const [durationInSeconds, format, videoTrack] = await Promise.all([
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input.computeDuration(),
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input.getFormat(),
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input.getPrimaryVideoTrack(),
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]);
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if (!videoTrack) {
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throw new Error("No video track found in the input");
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}
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if (signal?.aborted) {
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throw new Error("Aborted");
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}
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const timestamps =
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typeof timestampsInSeconds === "function"
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? await timestampsInSeconds({
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track: {
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width: videoTrack.displayWidth,
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height: videoTrack.displayHeight,
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},
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container: format.name,
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durationInSeconds,
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})
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: timestampsInSeconds;
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if (timestamps.length === 0) {
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return;
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}
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if (signal?.aborted) {
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throw new Error("Aborted");
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}
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const sink = new VideoSampleSink(videoTrack);
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for await (using videoSample of sink.samplesAtTimestamps(timestamps)) {
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if (signal?.aborted) {
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break;
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}
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if (!videoSample) {
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continue;
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}
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onVideoSample(videoSample);
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}
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}
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```
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## Basic usage
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Extract frames at specific timestamps:
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```tsx
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await extractFrames({
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src: "https://remotion.media/video.mp4",
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timestampsInSeconds: [0, 1, 2, 3, 4],
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onVideoSample: (sample) => {
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const canvas = document.createElement("canvas");
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canvas.width = sample.displayWidth;
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canvas.height = sample.displayHeight;
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const ctx = canvas.getContext("2d");
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sample.draw(ctx!, 0, 0);
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},
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});
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```
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## Creating a filmstrip
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Use a callback function to dynamically calculate timestamps based on video metadata:
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```tsx
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const canvasWidth = 500;
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const canvasHeight = 80;
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const fromSeconds = 0;
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const toSeconds = 10;
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await extractFrames({
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src: "https://remotion.media/video.mp4",
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timestampsInSeconds: async ({ track, durationInSeconds }) => {
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const aspectRatio = track.width / track.height;
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const amountOfFramesFit = Math.ceil(
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canvasWidth / (canvasHeight * aspectRatio)
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);
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const segmentDuration = toSeconds - fromSeconds;
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const timestamps: number[] = [];
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for (let i = 0; i < amountOfFramesFit; i++) {
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timestamps.push(
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fromSeconds + (segmentDuration / amountOfFramesFit) * (i + 0.5)
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);
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}
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return timestamps;
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},
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onVideoSample: (sample) => {
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console.log(`Frame at ${sample.timestamp}s`);
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const canvas = document.createElement("canvas");
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canvas.width = sample.displayWidth;
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canvas.height = sample.displayHeight;
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const ctx = canvas.getContext("2d");
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sample.draw(ctx!, 0, 0);
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},
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});
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```
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## Cancellation with AbortSignal
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Cancel frame extraction after a timeout:
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```tsx
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const controller = new AbortController();
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setTimeout(() => controller.abort(), 5000);
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try {
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await extractFrames({
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src: "https://remotion.media/video.mp4",
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timestampsInSeconds: [0, 1, 2, 3, 4],
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onVideoSample: (sample) => {
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using frame = sample;
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const canvas = document.createElement("canvas");
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canvas.width = frame.displayWidth;
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canvas.height = frame.displayHeight;
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const ctx = canvas.getContext("2d");
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frame.draw(ctx!, 0, 0);
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},
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signal: controller.signal,
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});
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console.log("Frame extraction complete!");
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} catch (error) {
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console.error("Frame extraction was aborted or failed:", error);
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}
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```
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## Timeout with Promise.race
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```tsx
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const controller = new AbortController();
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const timeoutPromise = new Promise<never>((_, reject) => {
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const timeoutId = setTimeout(() => {
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controller.abort();
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reject(new Error("Frame extraction timed out after 10 seconds"));
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}, 10000);
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controller.signal.addEventListener("abort", () => clearTimeout(timeoutId), {
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once: true,
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});
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});
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try {
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await Promise.race([
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extractFrames({
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src: "https://remotion.media/video.mp4",
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timestampsInSeconds: [0, 1, 2, 3, 4],
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onVideoSample: (sample) => {
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using frame = sample;
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const canvas = document.createElement("canvas");
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canvas.width = frame.displayWidth;
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canvas.height = frame.displayHeight;
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const ctx = canvas.getContext("2d");
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frame.draw(ctx!, 0, 0);
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},
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signal: controller.signal,
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}),
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timeoutPromise,
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]);
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console.log("Frame extraction complete!");
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} catch (error) {
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console.error("Frame extraction was aborted or failed:", error);
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}
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```
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