Mainvooid

#include "log.h"
#include <windows.h>
#include <tchar.h>
#include <iostream>

void OutputDebugStringEx(const wchar_t * format, ...)
{
	wchar_t buf[512];
	va_list args;
	va_start(args, format);

Mainvooid

#include "test.h"
#include <iostream>
#include <opencv2/opencv.hpp>
#include "opencv2/stitching.hpp"
#include <opencv2/xfeatures2d.hpp>   
#include "opencv2/xfeatures2d/cuda.hpp"
#include <opencv2/cudaimgproc.hpp>   
#include "opencv2/features2d.hpp"
#include "opencv2/cudafeatures2d.hpp"

Mainvooid

#include <d3d11.h>
#include <d3dx11.h>
/*
*@brief 创建texture配置
*@param textureDesc 保存Texture配置的对象
*@param width 宽度
*@param height 高度
*/
void createTextureDesc(D3D11_TEXTURE2D_DESC &textureDesc,int width, int height) {
	ZeroMemory(&textureDesc, sizeof(textureDesc));

Mainvooid

//DOCS:https://www.khronos.org/registry/OpenCL/sdk/1.2/docs/man/xhtml/
#include <CL/cl.h>
#include <CL/cl_d3d11_ext.h>
#include <stdio.h>
#include <string.h>
#include <malloc.h>
#include <stdlib.h>

class PlatformInfo
{

Mainvooid

struct A
	{
		A() {}
		int a=10;
		static void regToLuaState(lua_State *L) {
			luaL_openlibs(L);
			getGlobalNamespace(L)
				.beginNamespace("LuaCallFuncDll")
				.beginClass <A>("A")
				.addConstructor <void(*)(void)>()

Mainvooid

#include <iostream>
#include <npp.h>
using namespace std;

unsigned char _STD_Y_QT[64] =
{
	16, 11, 10, 16, 24, 40, 51, 61,
	12, 12, 14, 19, 26, 58, 60, 55,
	14, 13, 16, 24, 40, 57, 69, 56,

Mainvooid

#pragma once

#include <iostream>
#include <sstream>
#include <vector>
#include <map>
#include <string>
#include <stdexcept>
#include <typeinfo>
#include <cstring>

Mainvooid

from keras.layers import Activation,Conv2D,MaxPooling2D,BatchNormalization,Input,DepthwiseConv2D,add,Dropout,AveragePooling2D,Concatenate
from keras.models import Model														  
import keras.backend as K
from keras.engine import Layer,InputSpec
from keras.utils import conv_utils
class BilinearUpsampling(Layer):

    def __init__(self, upsampling=(2, 2), data_format=None, **kwargs):

        super(BilinearUpsampling, self).__init__(**kwargs)

Mainvooid

# -*- coding: utf-8 -*-
# 嵌入可视化
import numpy as np
import tensorflow as tf
from tensorboard.plugins import projector
from tensorflow.examples.tutorials.mnist import input_data
import os

PATH_TO_MNIST_DATA = "MNIST_data"
LOG_DIR = "projector/data"

Mainvooid

import numpy as np
import tensorflow as tf

model=tf.keras.applications.xception.Xception(include_top=True,
                                        weights='imagenet',
                                        input_tensor=None,
                                        input_shape=None,
                                        pooling=None,
                                        classes=1000)