@tzmax/ocr-common - npm Package Compare versions

Comparing version 1.4.6 to 1.4.8

build/backend/splitIntoLineImages.js

@@ -12,3 +12,3 @@ "use strict";
 var _asyncToGenerator2 = _interopRequireDefault(require("@babel/runtime/helpers/asyncToGenerator"));
-var cv = _interopRequireWildcard(require("@techstark/opencv-js"));
+var _opencvJs = _interopRequireDefault(require("@techstark/opencv-js"));
 var clipper = _interopRequireWildcard(require("js-clipper"));
@@ -32,6 +32,6 @@ var _index = require("../backend/index.js");
           src = cvImread(image);
-          cv.cvtColor(src, src, cv.COLOR_RGBA2GRAY, 0);
-          contours = new cv.MatVector();
-          hierarchy = new cv.Mat();
-          cv.findContours(src, contours, hierarchy, cv.RETR_LIST, cv.CHAIN_APPROX_SIMPLE);
+          _opencvJs["default"].cvtColor(src, src, _opencvJs["default"].COLOR_RGBA2GRAY, 0);
+          contours = new _opencvJs["default"].MatVector();
+          hierarchy = new _opencvJs["default"].Mat();
+          _opencvJs["default"].findContours(src, contours, hierarchy, _opencvJs["default"].RETR_LIST, _opencvJs["default"].CHAIN_APPROX_SIMPLE);
           _loop = /*#__PURE__*/_regenerator["default"].mark(function _loop() {
@@ -56,3 +56,3 @@ var minSize, cnt, _getMiniBoxes, points, sside, clipBox, boxMap, resultObj, box, clip, rx, ry, _i, box1, rect_width, rect_height, c;
                   clipBox = unclip(points);
-                  boxMap = cv.matFromArray(clipBox.length / 2, 1, cv.CV_32SC2, clipBox);
+                  boxMap = _opencvJs["default"].matFromArray(clipBox.length / 2, 1, _opencvJs["default"].CV_32SC2, clipBox);
                   resultObj = getMiniBoxes(boxMap);
@@ -128,3 +128,3 @@ box = resultObj.points;
 function getMiniBoxes(contour) {
-  var boundingBox = cv.minAreaRect(contour);
+  var boundingBox = _opencvJs["default"].minAreaRect(contour);
   var points = Array.from(boxPoints(boundingBox.center, boundingBox.size, boundingBox.angle)).sort(function (a, b) {
@@ -212,11 +212,11 @@ return a[0] - b[0];
   var pts_std = [[0, 0], [img_crop_width, 0], [img_crop_width, img_crop_height], [0, img_crop_height]];
-  var srcTri = cv.matFromArray(4, 1, cv.CV_32FC2, flatten(points));
-  var dstTri = cv.matFromArray(4, 1, cv.CV_32FC2, flatten(pts_std));
+  var srcTri = _opencvJs["default"].matFromArray(4, 1, _opencvJs["default"].CV_32FC2, flatten(points));
+  var dstTri = _opencvJs["default"].matFromArray(4, 1, _opencvJs["default"].CV_32FC2, flatten(pts_std));
   // 获取到目标矩阵
-  var M = cv.getPerspectiveTransform(srcTri, dstTri);
+  var M = _opencvJs["default"].getPerspectiveTransform(srcTri, dstTri);
   var src = cvImread(imageRaw);
-  var dst = new cv.Mat();
-  var dsize = new cv.Size(img_crop_width, img_crop_height);
+  var dst = new _opencvJs["default"].Mat();
+  var dsize = new _opencvJs["default"].Size(img_crop_width, img_crop_height);
   // 透视转换
-  cv.warpPerspective(src, dst, M, dsize, cv.INTER_CUBIC, cv.BORDER_REPLICATE, new cv.Scalar());
+  _opencvJs["default"].warpPerspective(src, dst, M, dsize, _opencvJs["default"].INTER_CUBIC, _opencvJs["default"].BORDER_REPLICATE, new _opencvJs["default"].Scalar());
   var dst_img_height = dst.matSize[0];
@@ -227,7 +227,7 @@ var dst_img_width = dst.matSize[1];
   if (dst_img_height / dst_img_width >= 1.5) {
-    dst_rot = new cv.Mat();
-    var dsize_rot = new cv.Size(dst.rows, dst.cols);
-    var center = new cv.Point(dst.cols / 2, dst.cols / 2);
-    var _M = cv.getRotationMatrix2D(center, 90, 1);
-    cv.warpAffine(dst, dst_rot, _M, dsize_rot, cv.INTER_CUBIC, cv.BORDER_REPLICATE, new cv.Scalar());
+    dst_rot = new _opencvJs["default"].Mat();
+    var dsize_rot = new _opencvJs["default"].Size(dst.rows, dst.cols);
+    var center = new _opencvJs["default"].Point(dst.cols / 2, dst.cols / 2);
+    var _M = _opencvJs["default"].getRotationMatrix2D(center, 90, 1);
+    _opencvJs["default"].warpAffine(dst, dst_rot, _M, dsize_rot, _opencvJs["default"].INTER_CUBIC, _opencvJs["default"].BORDER_REPLICATE, new _opencvJs["default"].Scalar());
   }
@@ -311,3 +311,3 @@ src["delete"]();
 function cvImread(image) {
-  return cv.matFromImageData(image);
+  return _opencvJs["default"].matFromImageData(image);
 }
@@ -314,0 +314,0 @@ function cvImshow(mat) {

package.json

 {
   "name": "@tzmax/ocr-common",
   "description": "Guten OCR is a high accurate text detection (OCR) Javascript/Typescript library that runs on Node.js, Browser, React Native and C++. Based on PaddleOCR and ONNX runtime",
-  "version": "1.4.6",
+  "version": "1.4.8",
   "type": "commonjs",
@@ -6,0 +6,0 @@ "license": "MIT",

src/backend/splitIntoLineImages.ts

@@ -1,2 +0,2 @@
-import * as cv from '@techstark/opencv-js'
+import cv from '@techstark/opencv-js'
 import * as clipper from 'js-clipper'
@@ -3,0 +3,0 @@ import { ImageRaw } from '#common/backend'

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