app.py

from fastapi import FastAPI, File, UploadFile
from retinaface import RetinaFace
import cv2
import numpy as np
from typing import Any, Dict

app = FastAPI()

def convert_to_python_types(obj: Any) -> Any:
    if isinstance(obj, np.integer):
        return int(obj)
    elif isinstance(obj, np.floating):
        return float(obj)
    elif isinstance(obj, np.ndarray):
        return obj.tolist()
    elif isinstance(obj, dict):
        return {key: convert_to_python_types(value) for key, value in obj.items()}
    elif isinstance(obj, list):
        return [convert_to_python_types(item) for item in obj]
    else:
        return obj

@app.post("/detect_faces")
async def detect_faces(file: UploadFile = File(...)):
    contents = await file.read()
    nparr = np.frombuffer(contents, np.uint8)
    image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
    
    # Detect faces
    faces = RetinaFace.detect_faces(image)
    
    return convert_to_python_types(faces)


@app.get("/")
def greet_json():
    return {"Hello": "World!"}