ReST API to detect X JPG files of bird using bird v2 public dataset from roboflow.com - from study : https://github.com/boly38/botEnSky/issues/57

roboflow_bird_v2_mass.js

// from: https://github.com/boly38/botEnSky/issues/57
// ----------------------------
// ReST API to detect bird - from blog : https://blog.roboflow.com/bird-detection-api/
// *** this file is doing identification of a target folder containing 1..N files having "JPG" as extension
import axios from 'axios';
import fs from 'fs';
import path from 'path';
import {fileURLToPath} from 'url';

const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);

// API_KEY - REQUIRED - export ROBOFLOW_API_KEY=xxxx
// https://app.roboflow.com / use public plan free and get your api key under profile
const api_key = process.env["ROBOFLOW_API_KEY"] || "unauthorized";
const url = "https://detect.roboflow.com/bird-v2/2";

const processImages = async (directory) => {
    try {
        const files = fs.readdirSync(directory);

        const jpgFiles = files.filter(file => path.extname(file).toLowerCase() === '.jpg');

        for (const jpgFile of jpgFiles) {
            const imagePath = path.join(directory, jpgFile);
            const txtFile = path.join(directory, path.basename(jpgFile, '.jpg') + '.txt');

            const image = fs.readFileSync(imagePath, {encoding: "base64"});

            const response = await axios({
                method: "POST",
                url,
                params: {api_key},
                data: image,
                headers: {
                    "Content-Type": "application/x-www-form-urlencoded"
                }
            }).catch(err => {
                console.error(`Error processing ${jpgFile}: ${err.message}`);
                return null;
            });

            if (response) {
                fs.writeFileSync(txtFile, JSON.stringify(response.data, null, 2));
                console.log(`Processed ${jpgFile}, result written to ${txtFile}`);
            }
        }
    } catch (error) {
        console.error(`Error reading directory: ${error.message}`);
    }
};

const directory = process.argv[2] || path.join(__dirname, 'input');
processImages(directory);