import torch
import numpy as np
import cv2
import matplotlib.pyplot as plt
from segment_anything import sam_model_registry, SamPredictor
from segment_anything.utils.onnx import SamOnnxModel
import torch.nn.functional as F

def create_sam_model(model_type, checkpoint, device: str = "cpu"):
    medsam_model = sam_model_registry[model_type](checkpoint=checkpoint)
    medsam_model = medsam_model.to(device)   
    return medsam_model