###### tags: `東京威力 TEL`
# I. 影像辨識 OpenCV
>OpenCV 是拿來處理影響辨識的,用Python環境寫在環境設置上比較方便。
>但考慮算力問題、程式執行效率對影像延遲問題,我先用 C++ 編寫。
:::spoiler
C++和Python實際上在影像延遲的差距仍不確定,待測。
:::
## <font color="orange"> 01. VS Code x Cpp x OpenCV</font>
### <font color="pink">1-1. 安裝 OpenCV</font>
點 [這裡](https://github.com/huihut/OpenCV-MinGW-Build),下載 `OpenCV-4.5.5-x604`。

下載後將檔案們解壓縮到<font color="yellow">某個自己知道是哪裡</font>的地方。
### <font color="pink">1-2. 安裝 Mingw 64</font>
參考 [之前寫的筆記](https://hackmd.io/@925/By2l-6oU9/%2Fs%2F0kISXK7XQwyYUWtWAKW-9A#-2-2-mingw64-%E5%AE%89%E8%A3%9D) 即可。
### <font color="pink">1-3. 檔案路徑設置</font>
接下來要設定環境變數和 VS Code的 json 檔案,剛下載的資料夾可以放在自己喜歡的地方,但要注意檔案對應的路徑要和下方一樣。
首先,進入「進階系統設定」調整「環境變數」。

接著將下方圖示框起來的兩個資料夾新增到「系統變數」的「Path」中。

:::info
Mingw_openCV是我自己建立的資料夾,檔案具體上要放哪裡依照自己習慣即可,只要注意後續路徑對應的資料夾(也就是剛下載的檔案)是相同的即可。
:::
### <font color="pink">1-4. json 檔案設置</font>
:::warning
注意以下的 json 路徑設置要自行修改成對應的檔案路徑。
:::
在 `.vscode` 資料夾內新增或修改以下幾個檔案 <font color="yellow">(檔名不可修改)</font>,完成後會如下所示:

:::info
開一個獨立的OpenCV資料夾,然後以這個資料夾為工作區打開(如上圖所示)會比較安全。
因為OpenCV要用的編譯和平常的程式檔不一樣,如果不熟悉 .json 檔案的話這樣比較不會弄錯。
:::
`c_cpp_properties.json`
``` json=
// c_cpp_properties.json
{
"configurations": [
{
"name": "Win32",
"compilerPath": "C:\\msys64\\mingw64\\bin\\g++.exe",
"includePath": [
"${workspaceRoot}",
"C:\\msys64\\mingw64\\include",
"C:\\msys64\\mingw64\\lib\\gcc\\x86_64-w64-mingw32\\11.2.0\\include",
"C:\\msys64\\mingw64\\include\\c++",
"D:\\Mingw_openCV\\OpenCV-MinGW-Build-OpenCV-4.5.5-x64\\include"
],
"defines": [
"_DEBUG",
"UNICODE",
"__GNUC__=5",
"__cdecl=__attribute__((__cdecl__))"
],
"intelliSenseMode": "clang-x64",
"browse": {
"path": [
"${workspaceRoot}",
"C:\\msys64\\mingw64\\include",
"C:\\msys64\\mingw64\\lib\\gcc\\x86_64-w64-mingw32\\11.2.0\\include",
"C:\\msys64\\mingw64\\include\\c++"
],
"limitSymbolsToIncludedHeaders": true,
"databaseFilename": ""
}
}
],
"version": 4
}
```
`launch.json`
```json=
// launch.json
{
"version": "0.2.0",
"configurations": [
{
"name": "(gdb) Launch",
"type": "cppdbg",
"request": "launch",
"program": "${workspaceRoot}/${fileBasenameNoExtension}.exe",
"args": [],
"stopAtEntry": false,
"cwd": "${workspaceRoot}",
"environment": [],
"externalConsole": true,
"MIMode": "gdb",
"miDebuggerPath": "C:\\msys64\\mingw64\\bin\\gdb.exe",
"setupCommands": [
{
"description": "Enable pretty-printing for gdb",
"text": "-enable-pretty-printing",
"ignoreFailures": true
}
],
"preLaunchTask": "build"
}
]
}
```
`settings.json`
```json=
// settings.json
{
"files.associations": {
"array": "cpp",
"atomic": "cpp",
"bit": "cpp",
"*.tcc": "cpp",
"cctype": "cpp",
"clocale": "cpp",
"cmath": "cpp",
"compare": "cpp",
"concepts": "cpp",
"cstdarg": "cpp",
"cstddef": "cpp",
"cstdint": "cpp",
"cstdio": "cpp",
"cstdlib": "cpp",
"cwchar": "cpp",
"cwctype": "cpp",
"deque": "cpp",
"string": "cpp",
"unordered_map": "cpp",
"vector": "cpp",
"exception": "cpp",
"algorithm": "cpp",
"functional": "cpp",
"iterator": "cpp",
"memory": "cpp",
"memory_resource": "cpp",
"numeric": "cpp",
"random": "cpp",
"string_view": "cpp",
"system_error": "cpp",
"tuple": "cpp",
"type_traits": "cpp",
"utility": "cpp",
"initializer_list": "cpp",
"iosfwd": "cpp",
"iostream": "cpp",
"istream": "cpp",
"limits": "cpp",
"new": "cpp",
"numbers": "cpp",
"ostream": "cpp",
"stdexcept": "cpp",
"streambuf": "cpp",
"typeinfo": "cpp"
}
}
```
`tasks.json`
```json=
// tasks.json
{
"version": "2.0.0",
"tasks": [
{
"label": "OpenCV",
"type": "shell",
"command": "g++",
"args": [
"-g",
"${file}",
"-o",
"${fileDirname}\\${fileBasenameNoExtension}.exe",
"-I", "D:\\Mingw_openCV\\OpenCV-MinGW-Build-OpenCV-4.5.5-x64\\include",
"-L","D:\\Mingw_openCV\\OpenCV-MinGW-Build-OpenCV-4.5.5-x64\\x64\\mingw\\bin",
"-llibopencv_calib3d455",
"-llibopencv_core455",
"-llibopencv_dnn455",
"-llibopencv_features2d455",
"-llibopencv_flann455",
"-llibopencv_highgui455",
"-llibopencv_imgcodecs455",
"-llibopencv_imgproc455",
"-llibopencv_ml455",
"-llibopencv_objdetect455",
"-llibopencv_photo455",
"-llibopencv_stitching455",
"-llibopencv_video455",
"-llibopencv_videoio455"
],
"group": {
"kind": "build",
"isDefault": true
}
}
]
}
```
### <font color="pink">1-5. 初步程式測試</font>
新建一個程式檔 `testing.cpp` 如下:
```c++=
#include <iostream>
#include <cstdlib>
#include <opencv2/opencv.hpp>
using namespace std;
using namespace cv;
int main(){
Mat image = imread("smile.jpg"); // smile.jpg 為圖片檔名,名字自取。
while(true){
imshow("live" , image);
if(waitKey(0) == 'N') //執行程式後,點一下圖片,再輸入 N 就會結束迴圈。
break;
}
return 0;
}
```
接著隨便將一張照片放到這個工作區內。
建置檔案一樣 `ctrl+shift+B`:

然後拖曳程式執行檔至 pwsh 內再按 `enter`。

有出現圖片就代表成功建置好環境,沒跑出來可以重開 VS Code 試試看。