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ghoshalayan 2025-01-29 10:42:02 +05:30
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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions
# testing
/coverage
# next.js
/.next/
/out/
# production
/build
# misc
.DS_Store
*.pem
# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*
# env files (can opt-in for committing if needed)
.env*
# vercel
.vercel
# typescript
*.tsbuildinfo
next-env.d.ts

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@tailwind base;
@tailwind components;
@tailwind utilities;

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import type { Metadata } from "next";
import { Geist, Geist_Mono } from "next/font/google";
import "./globals.css";
const geistSans = Geist({
variable: "--font-geist-sans",
subsets: ["latin"],
});
const geistMono = Geist_Mono({
variable: "--font-geist-mono",
subsets: ["latin"],
});
export const metadata: Metadata = {
title: "Create Next App",
description: "Generated by create next app",
};
export default function RootLayout({
children,
}: Readonly<{
children: React.ReactNode;
}>) {
return (
<html lang="en">
<body
className={`${geistSans.variable} ${geistMono.variable} antialiased`}
>
{children}
</body>
</html>
);
}

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import MainForm from "@/components/MainForm";
export default function Home() {
return <MainForm />;
}

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.main-container {
font-family: Arial, sans-serif;
max-width: 800px;
margin: 0 auto;
padding: 20px;
}
.tabs {
display: flex;
border-bottom: 2px solid #007bff;
margin-bottom: 20px;
}
.tab-button {
flex: 1;
padding: 12px 20px;
font-size: 16px;
color: #007bff;
background-color: transparent;
border: none;
cursor: pointer;
transition: background-color 0.3s, color 0.3s;
}
.tab-button:hover {
background-color: #f0f0f0;
}
.tab-button.active {
color: #fff;
background-color: #007bff;
}
.tab-content {
padding: 20px;
border: 1px solid #ddd;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}

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"use client";
import React, { useState } from "react";
import Register from "./register/Register";
import Search from "./search/Search";
import "./MainForm.css"; // Import CSS for styling
const MainForm: React.FC = () => {
const [activeTab, setActiveTab] = useState<"register" | "search">("register");
return (
<div className="main-container">
<div className="tabs">
<button
className={`tab-button ${activeTab === "register" ? "active" : ""}`}
onClick={() => setActiveTab("register")}
>
Register
</button>
<button
className={`tab-button ${activeTab === "search" ? "active" : ""}`}
onClick={() => setActiveTab("search")}
>
Search
</button>
</div>
<div className="tab-content">
{activeTab === "register" && <Register />}
{activeTab === "search" && <Search />}
</div>
</div>
);
};
export default MainForm;

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.container {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
padding: 20px;
font-family: Arial, sans-serif;
}
.title {
font-size: 24px;
margin-bottom: 20px;
}
.form {
width: 100%;
max-width: 500px;
}
.form-group {
margin-bottom: 20px;
}
.label {
display: block;
font-size: 16px;
margin-bottom: 8px;
}
.input {
width: 100%;
padding: 10px;
font-size: 16px;
border: 1px solid #ccc;
border-radius: 4px;
}
.video-container {
margin-bottom: 20px;
}
.video {
transform: scaleX(-1);
width: 100%;
max-width: 500px;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
.capture-button {
width: 100%;
padding: 12px;
font-size: 16px;
color: #fff;
background-color: #007bff;
border: none;
border-radius: 4px;
cursor: pointer;
margin-top: 4px;
}
.capture-button:hover {
background-color: #0056b3;
}
.image-preview {
margin-top: 20px;
text-align: center;
}
.captured-image {
max-width: 100%;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
.error-message {
color: red;
font-size: 14px;
margin-top: 5px;
}

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// "use client";
// import React, { useRef, useState, useEffect } from "react";
// import "./Register.css"; // Import CSS for styling
// const Register: React.FC = () => {
// const videoRef = useRef<HTMLVideoElement>(null);
// const canvasRef = useRef<HTMLCanvasElement>(null);
// const [name, setName] = useState<string>("");
// const [error, setError] = useState<string>(""); // State for error message
// // Automatically open the camera when the component mounts
// useEffect(() => {
// const openCamera = async () => {
// try {
// const stream = await navigator.mediaDevices.getUserMedia({
// video: true,
// });
// if (videoRef.current) {
// videoRef.current.srcObject = stream;
// }
// } catch (err) {
// console.error("Error accessing the camera", err);
// }
// };
// openCamera();
// }, []);
// // Capture image from video stream
// const captureImage = () => {
// if (!name.trim()) {
// setError("Name is required"); // Set error message if name is empty
// return;
// }
// const video = videoRef.current;
// const canvas = canvasRef.current;
// if (video && canvas) {
// const context = canvas.getContext("2d");
// if (context) {
// // Draw the current frame from the video on the canvas
// context.drawImage(video, 0, 0, canvas.width, canvas.height);
// canvas.toBlob((blob) => {
// if (blob) {
// const file = new File([blob], "captured-image.png", {
// type: "image/png",
// });
// callApi(name, file);
// }
// }, "image/png");
// }
// }
// };
// // Call API with name and image file
// const callApi = async (name: string, file: File) => {
// const formData = new FormData();
// formData.append("name", name);
// formData.append("image", file);
// try {
// const startTime = performance.now();
// const response = await fetch(
// `${process.env.NEXT_PUBLIC_BASE_URL}/register`,
// {
// method: "POST",
// body: formData,
// }
// );
// // End measuring time
// const endTime = performance.now();
// const totalTime = (endTime - startTime) / 1000; // Convert milliseconds to seconds
// if (response.ok) {
// const data = await response.json();
// console.log("API call successful");
// alert(
// `Message: ${data.message}\nName: ${
// data?.name
// }\nTime taken: ${totalTime.toFixed(2)} seconds`
// ); // Show success message with time taken
// setError(""); // Clear error message on success
// } else {
// console.error("API call failed");
// setError("Failed to register. Please try again."); // Set error message on failure
// }
// } catch (error) {
// console.error("Error calling API", error);
// setError("An error occurred. Please try again."); // Set error message on exception
// }
// };
// return (
// <div className="container">
// <h1 className="title">Face Capture Form</h1>
// <form className="form">
// <div className="form-group">
// <label htmlFor="name" className="label">
// Name:
// </label>
// <input
// id="name"
// type="text"
// value={name}
// onChange={(e) => {
// setName(e.target.value);
// setError(""); // Clear error message when user starts typing
// }}
// className="input"
// placeholder="Enter your name"
// required
// />
// {error && !name.trim() && (
// <p className="error-message">{error}</p> // Display error message if name is empty
// )}
// </div>
// <div className="video-container">
// <video ref={videoRef} autoPlay playsInline className="video" />
// </div>
// <button type="button" onClick={captureImage} className="capture-button">
// Capture Image
// </button>
// <canvas
// ref={canvasRef}
// style={{ display: "none" }}
// width="640"
// height="480"
// />
// </form>
// </div>
// );
// };
// export default Register;
"use client";
import React, { useRef, useState, useEffect } from "react";
import "./Register.css"; // Import CSS for styling
const Register: React.FC = () => {
const videoRef = useRef<HTMLVideoElement>(null);
const canvasRef = useRef<HTMLCanvasElement>(null);
const [name, setName] = useState<string>("");
const [error, setError] = useState<string>(""); // State for error message
const [selectedFile, setSelectedFile] = useState<File | null>(null); // State for uploaded image
// Automatically open the camera when the component mounts
useEffect(() => {
const openCamera = async () => {
try {
const stream = await navigator.mediaDevices.getUserMedia({
video: true,
});
if (videoRef.current) {
videoRef.current.srcObject = stream;
}
} catch (err) {
console.error("Error accessing the camera", err);
}
};
openCamera();
}, []);
// Capture image from video stream
const captureImage = () => {
if (!name.trim()) {
setError("Name is required"); // Set error message if name is empty
return;
}
const video = videoRef.current;
const canvas = canvasRef.current;
if (video && canvas) {
const context = canvas.getContext("2d");
if (context) {
// Draw the current frame from the video on the canvas
context.drawImage(video, 0, 0, canvas.width, canvas.height);
canvas.toBlob((blob) => {
if (blob) {
const file = new File([blob], "captured-image.png", {
type: "image/png",
});
callApi(name, file);
}
}, "image/png");
}
}
};
// Handle file upload
const handleFileUpload = (event: React.ChangeEvent<HTMLInputElement>) => {
const file = event.target.files?.[0] || null;
setSelectedFile(file);
};
// Submit uploaded file
const submitUploadedFile = () => {
if (!name.trim()) {
setError("Name is required");
return;
}
if (!selectedFile) {
setError("Please upload an image file.");
return;
}
callApi(name, selectedFile);
};
// Call API with name and image file
const callApi = async (name: string, file: File) => {
const formData = new FormData();
formData.append("name", name);
formData.append("image", file);
try {
const startTime = performance.now();
const response = await fetch(
`${process.env.NEXT_PUBLIC_BASE_URL}/register`,
{
method: "POST",
body: formData,
}
);
// End measuring time
const endTime = performance.now();
const totalTime = (endTime - startTime) / 1000; // Convert milliseconds to seconds
if (response.ok) {
const data = await response.json();
console.log("API call successful");
alert(
`Message: ${data.message}\nName: ${data?.name}\nTime taken: ${totalTime.toFixed(2)} seconds`
); // Show success message with time taken
setError(""); // Clear error message on success
} else {
console.error("API call failed");
setError("Failed to register. Please try again."); // Set error message on failure
}
} catch (error) {
console.error("Error calling API", error);
setError("An error occurred. Please try again."); // Set error message on exception
}
};
return (
<div className="container">
<h1 className="title">Face Capture & Upload Form</h1>
<form className="form">
<div className="form-group">
<label htmlFor="name" className="label">
Name:
</label>
<input
id="name"
type="text"
value={name}
onChange={(e) => {
setName(e.target.value);
setError(""); // Clearing error message when user starts typing
}}
className="input"
placeholder="Enter your name"
required
/>
{error && !name.trim() && (
<p className="error-message">{error}</p> // Displaying error message if name is empty
)}
</div>
<div className="video-container">
<video ref={videoRef} autoPlay playsInline className="video" />
<button
type="button"
onClick={captureImage}
className="capture-button"
>
Capture Image
</button>
</div>
<div>Or</div>
<div className="file-upload-container">
<label htmlFor="file-upload" className="label">
Upload Image:
</label>
<input
id="file-upload"
type="file"
accept="image/*"
onChange={handleFileUpload}
className="file-input"
/>
<button
type="button"
onClick={submitUploadedFile}
// className="upload-button"
className="capture-button"
>
Submit Uploaded Image
</button>
</div>
<canvas
ref={canvasRef}
style={{ display: "none" }}
width="640"
height="480"
/>
{error && <p className="error-message">{error}</p>}
</form>
</div>
);
};
export default Register;

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.search-container {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
padding: 20px;
font-family: Arial, sans-serif;
}
.video-container {
margin-bottom: 20px;
}
.video {
width: 100%;
max-width: 500px;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
.capture-button {
padding: 12px 20px;
font-size: 16px;
color: #fff;
background-color: #007bff;
border: none;
border-radius: 4px;
cursor: pointer;
transition: background-color 0.3s;
}
.capture-button:hover {
background-color: #0056b3;
}
.image-preview {
margin-top: 20px;
text-align: center;
}
.captured-image {
max-width: 100%;
border-radius: 8px;
box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
}
.upload-container{
margin-top: 12px;
}

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// import React, { useRef, useEffect } from "react";
// import "./Search.css"; // Import CSS for styling
// const Search: React.FC = () => {
// const videoRef = useRef<HTMLVideoElement>(null);
// const canvasRef = useRef<HTMLCanvasElement>(null);
// // Automatically open the camera when the component mounts
// useEffect(() => {
// const openCamera = async () => {
// try {
// const stream = await navigator.mediaDevices.getUserMedia({
// video: true,
// });
// if (videoRef.current) {
// videoRef.current.srcObject = stream;
// }
// } catch (err) {
// console.error("Error accessing the camera", err);
// }
// };
// openCamera();
// }, []);
// // Capture image from video stream
// const captureImage = () => {
// const video = videoRef.current;
// const canvas = canvasRef.current;
// if (video && canvas) {
// const context = canvas.getContext("2d");
// if (context) {
// context.drawImage(video, 0, 0, canvas.width, canvas.height);
// canvas.toBlob((blob) => {
// if (blob) {
// const file = new File([blob], "captured-image.png", {
// type: "image/png",
// });
// callApi(file);
// }
// }, "image/png");
// }
// }
// };
// // Call API with the captured image file
// const callApi = async (file: File) => {
// const formData = new FormData();
// formData.append("image", file); // Append the file to the form data
// try {
// const startTime = performance.now();
// const response = await fetch(
// `${process.env.NEXT_PUBLIC_BASE_URL}/search`,
// {
// method: "POST",
// body: formData, // Send the form data
// }
// );
// // End measuring time
// const endTime = performance.now();
// const totalTime = (endTime - startTime) / 1000;
// if (response.ok) {
// const data = await response.json();
// console.log("API call successful", data);
// alert(
// `Search result: ${data.message}\nName: ${
// data?.name
// }\nTime taken: ${totalTime.toFixed(2)} seconds`
// );
// } else {
// console.error("API call failed");
// }
// } catch (error) {
// console.error("Error calling API", error);
// }
// };
// return (
// <div className="search-container">
// <h2>Search</h2>
// <div className="video-container">
// <video ref={videoRef} autoPlay playsInline className="video" />
// </div>
// <button type="button" onClick={captureImage} className="capture-button">
// Capture Image
// </button>
// <canvas
// ref={canvasRef}
// style={{ display: "none" }}
// width="640"
// height="480"
// />
// </div>
// );
// };
// export default Search;
import React, { useRef, useEffect, useState } from "react";
import "./Search.css"; // Import CSS for styling
const Search: React.FC = () => {
const videoRef = useRef<HTMLVideoElement>(null);
const canvasRef = useRef<HTMLCanvasElement>(null);
const [uploadedFile, setUploadedFile] = useState<File | null>(null);
// Automatically opennig the camera when the component mounts
useEffect(() => {
const openCamera = async () => {
try {
const stream = await navigator.mediaDevices.getUserMedia({
video: true,
});
if (videoRef.current) {
videoRef.current.srcObject = stream;
}
} catch (err) {
console.error("Error accessing the camera", err);
}
};
openCamera();
}, []);
// Capturing image from video stream
const captureImage = () => {
const video = videoRef.current;
const canvas = canvasRef.current;
if (video && canvas) {
const context = canvas.getContext("2d");
if (context) {
context.drawImage(video, 0, 0, canvas.width, canvas.height);
canvas.toBlob((blob) => {
if (blob) {
const file = new File([blob], "captured-image.png", {
type: "image/png",
});
callApi(file);
}
}, "image/png");
}
}
};
// Handling image upload
const handleFileChange = (event: React.ChangeEvent<HTMLInputElement>) => {
const file = event.target.files?.[0];
if (file) {
setUploadedFile(file); // Storing the uploaded file in state
callApi(file); // Calling the API with the uploaded file
}
};
// Calling API with the provided image file
const callApi = async (file: File) => {
const formData = new FormData();
formData.append("image", file); // Appending the file to the form data
try {
const startTime = performance.now();
const response = await fetch(
`${process.env.NEXT_PUBLIC_BASE_URL}/search`,
{
method: "POST",
body: formData, // Sending the form data
}
);
// Ending measuring time
const endTime = performance.now();
const totalTime = (endTime - startTime) / 1000;
if (response.ok) {
const data = await response.json();
console.log("API call successful", data);
alert(
`Search result: ${data.message}\nName: ${
data?.name
}\nTime taken: ${totalTime.toFixed(2)} seconds`
);
} else {
console.error("API call failed");
}
} catch (error) {
console.error("Error calling API", error);
}
};
return (
<div className="search-container">
<h2>Search</h2>
<div className="video-container">
<video ref={videoRef} autoPlay playsInline className="video" />
</div>
<button type="button" onClick={captureImage} className="capture-button">
Capture Image
</button>
<div>Or</div>
<div className="upload-container">
<label htmlFor="upload" className="upload-label">
Upload Image
</label>
<input
type="file"
id="upload"
accept="image/*"
onChange={handleFileChange}
className="upload-input"
/>
</div>
<canvas
ref={canvasRef}
style={{ display: "none" }}
width="640"
height="480"
/>
</div>
);
};
export default Search;

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import { dirname } from "path";
import { fileURLToPath } from "url";
import { FlatCompat } from "@eslint/eslintrc";
const __filename = fileURLToPath(import.meta.url);
const __dirname = dirname(__filename);
const compat = new FlatCompat({
baseDirectory: __dirname,
});
const eslintConfig = [
...compat.extends("next/core-web-vitals", "next/typescript"),
];
export default eslintConfig;

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face_recognition_model_web Submodule

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Subproject commit 300e624454be86585500a57bd54a1e0cb28b7a94

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import type { NextConfig } from "next";
const nextConfig: NextConfig = {
/* config options here */
};
export default nextConfig;

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{
"name": "face_recognition_model_web",
"version": "0.1.0",
"private": true,
"scripts": {
"dev": "next dev",
"build": "next build",
"start": "next start",
"lint": "next lint"
},
"dependencies": {
"react": "^19.0.0",
"react-dom": "^19.0.0",
"next": "15.1.6"
},
"devDependencies": {
"typescript": "^5",
"@types/node": "^20",
"@types/react": "^19",
"@types/react-dom": "^19",
"postcss": "^8",
"tailwindcss": "^3.4.1",
"eslint": "^9",
"eslint-config-next": "15.1.6",
"@eslint/eslintrc": "^3"
}
}

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/** @type {import('postcss-load-config').Config} */
const config = {
plugins: {
tailwindcss: {},
},
};
export default config;

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import type { Config } from "tailwindcss";
export default {
content: [
"./pages/**/*.{js,ts,jsx,tsx,mdx}",
"./components/**/*.{js,ts,jsx,tsx,mdx}",
"./app/**/*.{js,ts,jsx,tsx,mdx}",
],
theme: {
extend: {
colors: {
background: "var(--background)",
foreground: "var(--foreground)",
},
},
},
plugins: [],
} satisfies Config;

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tsconfig.json Normal file
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{
"compilerOptions": {
"target": "ES2017",
"lib": ["dom", "dom.iterable", "esnext"],
"allowJs": true,
"skipLibCheck": true,
"strict": true,
"noEmit": true,
"esModuleInterop": true,
"module": "esnext",
"moduleResolution": "bundler",
"resolveJsonModule": true,
"isolatedModules": true,
"jsx": "preserve",
"incremental": true,
"plugins": [
{
"name": "next"
}
],
"paths": {
"@/*": ["./*"]
}
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
"exclude": ["node_modules"]
}