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Code Issues Actions 2 Packages Projects Releases Wiki Activity

Delete redundant Chinese comments (#275)

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This commit is contained in:
DefTruth
2022-09-23 11:02:00 +08:00
committed by GitHub
parent 5edd9fccd3
commit efa7411ebb
50 changed files with 45 additions and 572 deletions
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4
fastdeploy/vision/ocr/ppocr/utils/get_rotate_crop_image.cc
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@@ -31,7 +31,6 @@ cv::Mat GetRotateCropImage(const cv::Mat& srcimage,
tmp.push_back(box[2 * i + 1]);
points.push_back(tmp);
}
// box转points
int x_collect[4] = {box[0], box[2], box[4], box[6]};
int y_collect[4] = {box[1], box[3], box[5], box[7]};
int left = int(*std::min_element(x_collect, x_collect + 4));
@@ -39,7 +38,6 @@ cv::Mat GetRotateCropImage(const cv::Mat& srcimage,
int top = int(*std::min_element(y_collect, y_collect + 4));
int bottom = int(*std::max_element(y_collect, y_collect + 4));
//得到rect矩形
cv::Mat img_crop;
image(cv::Rect(left, top, right - left, bottom - top)).copyTo(img_crop);
@@ -65,14 +63,12 @@ cv::Mat GetRotateCropImage(const cv::Mat& srcimage,
pointsf[2] = cv::Point2f(points[2][0], points[2][1]);
pointsf[3] = cv::Point2f(points[3][0], points[3][1]);
//透视变换矩阵
cv::Mat M = cv::getPerspectiveTransform(pointsf, pts_std);
cv::Mat dst_img;
cv::warpPerspective(img_crop, dst_img, M,
cv::Size(img_crop_width, img_crop_height),
cv::BORDER_REPLICATE);
//完成透视变换
if (float(dst_img.rows) >= float(dst_img.cols) * 1.5) {
cv::Mat srcCopy = cv::Mat(dst_img.rows, dst_img.cols, dst_img.depth());

8
fastdeploy/vision/ocr/ppocr/utils/ocr_postprocess_op.cc
View File

@@ -20,7 +20,6 @@ namespace fastdeploy {
namespace vision {
namespace ocr {
//获取轮廓区域
void PostProcessor::GetContourArea(const std::vector<std::vector<float>> &box,
float unclip_ratio, float &distance) {
int pts_num = 4;
@@ -71,7 +70,6 @@ cv::RotatedRect PostProcessor::UnClip(std::vector<std::vector<float>> box,
return res;
}
//将图像的矩阵转换为float类型的array数组返回
float **PostProcessor::Mat2Vec(cv::Mat mat) {
auto **array = new float *[mat.rows];
for (int i = 0; i < mat.rows; ++i) array[i] = new float[mat.cols];
@@ -84,8 +82,6 @@ float **PostProcessor::Mat2Vec(cv::Mat mat) {
return array;
}
//对点进行顺时针方向的排序（从左到右，从上到下） （order points
// clockwise[顺时针方向]）
std::vector<std::vector<int>> PostProcessor::OrderPointsClockwise(
std::vector<std::vector<int>> pts) {
std::vector<std::vector<int>> box = pts;
@@ -103,7 +99,6 @@ std::vector<std::vector<int>> PostProcessor::OrderPointsClockwise(
return rect;
}
//将图像的矩阵转换为float类型的vector数组返回
std::vector<std::vector<float>> PostProcessor::Mat2Vector(cv::Mat mat) {
std::vector<std::vector<float>> img_vec;
std::vector<float> tmp;
@@ -118,7 +113,6 @@ std::vector<std::vector<float>> PostProcessor::Mat2Vector(cv::Mat mat) {
return img_vec;
}
//判断元素为浮点数float的vector的精度，如果a中元素的精度不等于b中元素的精度，则返回false
bool PostProcessor::XsortFp32(std::vector<float> a, std::vector<float> b) {
if (a[0] != b[0]) return a[0] < b[0];
return false;
@@ -248,8 +242,6 @@ float PostProcessor::BoxScoreFast(std::vector<std::vector<float>> box_array,
return score;
}
//这个应该是DB（差分二值化）相关的内容，方法从 Bitmap 图中获取检测框
//涉及到box_thresh（低于这个阈值的boxs不予显示）和det_db_unclip_ratio（文本框扩张的系数，关系到文本框的大小）
std::vector<std::vector<std::vector<int>>> PostProcessor::BoxesFromBitmap(
const cv::Mat pred, const cv::Mat bitmap, const float &box_thresh,
const float &det_db_unclip_ratio, const std::string &det_db_score_mode) {