app.py

from flask import Flask, request, jsonify
from PIL import Image
import base64
import io 
from SegCloth import segment_clothing



# Créer une instance FastAPI
app = Flask(__name__)

def segment_image(img, clothes):
    img = decode_image_from_base64(img)
    return segment_clothing(img, clothes)

# Fonction pour décoder une image encodée en base64 en objet PIL.Image.Image
def decode_image_from_base64(image_data):
    image_data = base64.b64decode(image_data)
    image = Image.open(io.BytesIO(image_data))
    return image

def encode_image_to_base64(image):
    buffered = BytesIO()
    image.save(buffered, format="PNG")
    return base64.b64encode(buffered.getvalue()).decode('utf-8')

@app.get("/")
def root():
    return "Welcome to  Fashion Clothing Detectiony API!"

# Route pour l'API REST
@app.route('/api/classify', methods=['POST'])
def classify():
    data = request.json
    print(data)
    clothes = ["Hat", "Upper-clothes", "Skirt", "Pants", "Dress", "Belt", "Left-shoe", "Right-shoe", "Scarf"]
    image = data['image']
    result = segment_image(clothes, image)
    return jsonify({'result': encode_image_to_base64(result)})

if __name__ == "__main__":
    app.run(debug=True, host="0.0.0.0", port=7860)