from fastapi import FastAPI
import cv2
import numpy as np
from dataclasses import dataclass

@dataclass
class Templates:
    name       : str
    image      : np.ndarray
    keypoints  : list
    descriptors: np.ndarray

app = FastAPI()

@app.get("/")
def root():
    sift  = cv2.SIFT_create(nfeatures=500)
    flann = cv2.FlannBasedMatcher()
    r = add("d", "h")
    print(r)

    return {"status": "READY!"}

def add(a: int, b: int) -> int:
    return a + b