My vscode is part English part Chinese, how to change it to complete English? - visual-studio-code

Question

As mentioned in the title, I have part of my vscode Chinese, which is troublesome since looking up error codes in English will be easier. How can I turn it into complete English? I've tried How to set Visual Studio Code Terminal output to English and it didn't work for me.
Since someone asked for the code to be post in text, this is the code (I'm using a tutorial code for camera calibration from opencv, so the error code appearing also confused me):
#include <iostream>
#include <opencv2/calib3d.hpp>
#include <opencv2/core.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>
int main(int argc, char **argv) {
(void)argc;
(void)argv;
std::vector<cv::String> fileNames;
cv::glob("../calibration/Image*.png", fileNames, false);
cv::Size patternSize(25 - 1, 18 - 1);
std::vector<std::vector<cv::Point2f>> q(fileNames.size());
std::vector<std::vector<cv::Point3f>> Q;
// 1. Generate checkerboard (world) coordinates Q. The board has 25 x 18
// fields with a size of 15x15mm
int checkerBoard[2] = {25,18};
// Defining the world coordinates for 3D points
std::vector<cv::Point3f> objp;
for(int i = 1; i<checkerBoard[1]; i++){
for(int j = 1; j<checkerBoard[0]; j++){
objp.push_back(cv::Point3f(j,i,0));
}
}
std::vector<cv::Point2f> imgPoint;
// Detect feature points
std::size_t i = 0;
for (auto const &f : fileNames) {
std::cout << std::string(f) << std::endl;
// 2. Read in the image an call cv::findChessboardCorners()
cv::Mat img = cv::imread(fileNames[i]);
cv::Mat gray;
cv::cvtColor(img, gray, cv::COLOR_RGB2GRAY);
bool patternFound = cv::findChessboardCorners(gray, patternSize, q[i], cv::CALIB_CB_ADAPTIVE_THRESH + cv::CALIB_CB_NORMALIZE_IMAGE + cv::CALIB_CB_FAST_CHECK);
// 2. Use cv::cornerSubPix() to refine the found corner detections
if(patternFound){
cv::cornerSubPix(gray, q[i],cv::Size(11,11), cv::Size(-1,-1), cv::TermCriteria(cv::TermCriteria::EPS + cv::TermCriteria::MAX_ITER, 30, 0.1));
Q.push_back(objp);
}
// Display
cv::drawChessboardCorners(img, patternSize, q[i], patternFound);
cv::imshow("chessboard detection", img);
cv::waitKey(0);
i++;
}
cv::Matx33f K(cv::Matx33f::eye()); // intrinsic camera matrix
cv::Vec<float, 5> k(0, 0, 0, 0, 0); // distortion coefficients
std::vector<cv::Mat> rvecs, tvecs;
std::vector<double> stdIntrinsics, stdExtrinsics, perViewErrors;
int flags = cv::CALIB_FIX_ASPECT_RATIO + cv::CALIB_FIX_K3 +
cv::CALIB_ZERO_TANGENT_DIST + cv::CALIB_FIX_PRINCIPAL_POINT;
cv::Size frameSize(1440, 1080);
std::cout << "Calibrating..." << std::endl;
// 4. Call "float error = cv::calibrateCamera()" with the input coordinates
// and output parameters as declared above...
float error = cv::calibrateCamera(Q, q, frameSize, K, k, rvecs, tvecs, flags);
std::cout << "Reprojection error = " << error << "\nK =\n"
<< K << "\nk=\n"
<< k << std::endl;
// Precompute lens correction interpolation
cv::Mat mapX, mapY;
cv::initUndistortRectifyMap(K, k, cv::Matx33f::eye(), K, frameSize, CV_32FC1,
mapX, mapY);
// Show lens corrected images
for (auto const &f : fileNames) {
std::cout << std::string(f) << std::endl;
cv::Mat img = cv::imread(f, cv::IMREAD_COLOR);
cv::Mat imgUndistorted;
// 5. Remap the image using the precomputed interpolation maps.
cv::remap(img, imgUndistorted, mapX, mapY, cv::INTER_LINEAR);
// Display
cv::imshow("undistorted image", imgUndistorted);
cv::waitKey(0);
}
return 0;
}