Techsolut API Documentation

import requests
import base64
from PIL import Image
import io

# Charger et encoder l'image en base64
def encode_image(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode('utf-8')

# Configuration
api_key = "YOUR_API_KEY"
api_endpoint = "https://api.techsolut.fr/v1/detect"
image_path = "path/to/your/image.jpg"

# Préparer les données
image_base64 = encode_image(image_path)
data = {
    "image": f"data:image/jpeg;base64,{image_base64}",
    "confidence": 0.5,
    "model": "yolov8x"
}

# Envoyer la requête
headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

response = requests.post(api_endpoint, json=data, headers=headers)

# Traiter la réponse
if response.status_code == 200:
    detections = response.json()
    print(f"Detected {len(detections['detections'])} objects:")
    for detection in detections['detections']:
        print(f"- {detection['class']}: {detection['confidence']:.2f}")
else:
    print(f"Error: {response.status_code}")
    print(response.text)

// Fonction pour encoder une image en base64
function encodeImageFileAsURL(file) {
  return new Promise((resolve, reject) => {
    const reader = new FileReader();
    reader.onloadend = () => resolve(reader.result);
    reader.onerror = reject;
    reader.readAsDataURL(file);
  });
}

// Fonction principale pour détecter des objets
async function detectObjects(imageFile) {
  const apiKey = 'YOUR_API_KEY';
  const apiEndpoint = 'https://api.techsolut.fr/v1/detect';
  
  try {
    // Encoder l'image en base64
    const imageBase64 = await encodeImageFileAsURL(imageFile);
    
    // Préparer les données
    const data = {
      image: imageBase64,
      confidence: 0.5,
      model: "yolov8x"
    };
    
    // Envoyer la requête
    const response = await fetch(apiEndpoint, {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${apiKey}`,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify(data)
    });
    
    // Traiter la réponse
    if (response.ok) {
      const result = await response.json();
      console.log(`Detected ${result.detections.length} objects`);
      
      // Traiter chaque détection
      result.detections.forEach(detection => {
        console.log(`${detection.class}: ${detection.confidence.toFixed(2)}`);
      });
      
      return result;
    } else {
      throw new Error(`HTTP error! status: ${response.status}`);
    }
  } catch (error) {
    console.error('Error:', error);
    throw error;
  }
}

// Utilisation avec un input file
const fileInput = document.getElementById('imageInput');
fileInput.addEventListener('change', async (e) => {
  const file = e.target.files[0];
  if (file) {
    try {
      const result = await detectObjects(file);
      // Afficher les résultats
      displayResults(result);
    } catch (error) {
      console.error('Detection failed:', error);
    }
  }
});

<?php
// Configuration
$apiKey = 'YOUR_API_KEY';
$apiEndpoint = 'https://api.techsolut.fr/v1/detect';
$imagePath = 'path/to/your/image.jpg';

// Charger et encoder l'image
$imageData = file_get_contents($imagePath);
$base64Image = 'data:image/jpeg;base64,' . base64_encode($imageData);

// Préparer les données
$data = [
    'image' => $base64Image,
    'confidence' => 0.5,
    'model' => 'yolov8x'
];

// Initialiser cURL
$curl = curl_init();
curl_setopt_array($curl, [
    CURLOPT_URL => $apiEndpoint,
    CURLOPT_RETURNTRANSFER => true,
    CURLOPT_POST => true,
    CURLOPT_POSTFIELDS => json_encode($data),
    CURLOPT_HTTPHEADER => [
        'Authorization: Bearer ' . $apiKey,
        'Content-Type: application/json'
    ]
]);

// Exécuter la requête
$response = curl_exec($curl);
$httpCode = curl_getinfo($curl, CURLINFO_HTTP_CODE);
curl_close($curl);

// Traiter la réponse
if ($httpCode === 200) {
    $result = json_decode($response, true);
    echo "Objets détectés: " . count($result['detections']) . "\n";
    
    foreach ($result['detections'] as $detection) {
        echo "- " . $detection['class'] . ": " . 
             number_format($detection['confidence'], 2) . "\n";
    }
} else {
    echo "Erreur HTTP: " . $httpCode . "\n";
    echo $response . "\n";
}
?>