onnx retina人脸检测

import os
import time
from math import ceil

import onnxruntime
import numpy as np
import cv2
import argparse
import argparse
import numpy as np
from data import cfg_mnet, cfg_peleenet
from utils.nms.py_cpu_nms import py_cpu_nms
from math import ceil
from itertools import product as product


#sigmoid函数
def sigmoid(x):
    s = 1 / (1 + np.exp(-1*x))
    return s
def softmax(x, axis=1):
    # 计算每行的最大值
    row_max = x.max(axis=axis)

    # 每行元素都需要减去对应的最大值，否则求exp(x)会溢出，导致inf情况
    row_max = row_max.reshape(-1, 1)
    x = x - row_max

    x_exp = np.exp(x)
    x_sum = np.sum(x_exp, axis=axis, keepdims=True)
    s = x_exp / x_sum
    return s

def decode(loc, priors, variances):
    """D