Update README.md

package.json

@@ -1,6 +1,6 @@
 {
   "name": "jscanify",
-  "version": "1.3.3",
+  "version": "1.4.0",
   "description": "Open-source Javascript mobile document scanner.",
   "main": "src/jscanify-node.js",
   "directories": {
@@ -25,8 +25,8 @@
   },
   "homepage": "https://colonelparrot.github.io/jscanify/",
   "dependencies": {
-    "canvas": "^2.11.2",
+    "canvas": "^3.1.0",
-    "jsdom": "^22.0.0",
+    "jsdom": "^26.0.0",
-    "mocha": "^10.2.0"
+    "mocha": "^11.1.0"
   }
 }

src/jscanify-node.js

@@ -1,4 +1,4 @@
-/*! jscanify v1.3.3 | (c) ColonelParrot and other contributors | MIT License */
+/*! jscanify v1.4.0 | (c) ColonelParrot and other contributors | MIT License */
 
 const { Canvas, createCanvas, Image, ImageData } = require("canvas");
 const { JSDOM } = require("jsdom");
@@ -153,9 +153,9 @@ class jscanify {
   extractPaper(image, resultWidth, resultHeight, cornerPoints) {
     const canvas = createCanvas();
     const img = cv.imread(image);
-    const maxContour = this.findPaperContour(img);
+    const maxContour = cornerPoints ? null : this.findPaperContour(img);
 
-    if(maxContour == null){
+    if(maxContour == null && cornerPoints === undefined){
       return null;
     }
 

src/jscanify.js

@@ -1,4 +1,4 @@
-/*! jscanify v1.3.3 | (c) ColonelParrot and other contributors | MIT License */
+/*! jscanify v1.4.0 | (c) ColonelParrot and other contributors | MIT License */
 
 (function (global, factory) {
   typeof exports === "object" && typeof module !== "undefined"
@@ -144,9 +144,9 @@
     extractPaper(image, resultWidth, resultHeight, cornerPoints) {
       const canvas = document.createElement("canvas");
       const img = cv.imread(image);
-      const maxContour = this.findPaperContour(img);
+      const maxContour = cornerPoints ? null : this.findPaperContour(img);
 
-      if(maxContour == null){
+      if(maxContour == null && cornerPoints === undefined){
         return null;
       }
 

test/tests.js

@@ -16,122 +16,125 @@ const path = require("path");
 const OUTPUT_FOLDER = __dirname.replaceAll("\\", "/") + "/output/";
 
 const TEST_IMAGE_DIRECTORY = path.join(
-  __dirname,
+    __dirname,
-  "..",
+    "..",
-  "docs",
+    "docs",
-  "images",
+    "images",
-  "test"
+    "test"
 );
 
 /**
  * delete previously generated output images
  */
 function setup() {
-  console.log("=== setting up tests ===");
+    console.log("=== setting up tests ===");
-  console.log("Deleting previously generated images");
+    console.log("Deleting previously generated images");
 
-  if (!existsSync(OUTPUT_FOLDER)) {
+    if (!existsSync(OUTPUT_FOLDER)) {
-    mkdirSync(OUTPUT_FOLDER);
+        mkdirSync(OUTPUT_FOLDER);
-  }
+    }
 
-  readdirSync(OUTPUT_FOLDER).forEach((file) => {
+    readdirSync(OUTPUT_FOLDER).forEach((file) => {
-    unlinkSync(path.join(OUTPUT_FOLDER, file));
+        unlinkSync(path.join(OUTPUT_FOLDER, file));
-  })
+    })
 }
 
-console.log("=== beginning  tests ===");
+let scanner;
-console.log("loading OpenCV.js...");
+let cv;
 
-const scanner = new jscanify();
+before(function (done) {
-scanner.loadOpenCV(function (cv) {
+    console.log("=== beginning  tests ===");
+    console.log("loading OpenCV.js...");
 
-  console.log("Finished loading OpenCV.js");
+    scanner = new jscanify();
-  console.log("Writing test images to: " + OUTPUT_FOLDER);
+    scanner.loadOpenCV(function (loadedCv) {
+        cv = loadedCv;
 
-  /**
+        console.log("Finished loading OpenCV.js");
-   * tests an individual image
+        console.log("Writing test images to: " + OUTPUT_FOLDER);
-   */
+        setup()
-  function test(testImage, imageCount) {
+        done();
+    });
+});
+
+/**
+ * tests an individual image
+ */
+function test(testImage, imageCount) {
     describe("image #" + imageCount, function () {
-      it("should highlight paper", function (done) {
+        it("should highlight paper", function () {
-        const highlighted = scanner.highlightPaper(testImage);
+            const highlighted = scanner.highlightPaper(testImage);
-        const higlightedOutputPath = OUTPUT_FOLDER + "highlighted-" + imageCount + ".jpg";
+            const higlightedOutputPath = OUTPUT_FOLDER + "highlighted-" + imageCount + ".jpg";
-        writeFileSync(
+            writeFileSync(
-          higlightedOutputPath,
+                higlightedOutputPath,
-          highlighted.toBuffer("image/jpeg")
+                highlighted.toBuffer("image/jpeg")
-        );
+            );
 
-        assert.ok(existsSync(higlightedOutputPath));
+            assert.ok(existsSync(higlightedOutputPath));
-        done();
-      });
-
-      it("should extract paper", function (done) {
-        const extracted = scanner.extractPaper(testImage, 386, 500);
-        const extractedOutputPath = OUTPUT_FOLDER + "extracted-" + imageCount + ".jpg";
-        
-        writeFileSync(
-          extractedOutputPath,
-          extracted.toBuffer("image/jpeg")
-        );
-
-        assert.ok(existsSync(extractedOutputPath));
-        done();
-      });
-
-      it("should label corner points", function (done) {
-        const parsedImage = cv.imread(testImage);
-        const paperContour = scanner.findPaperContour(parsedImage);
-        const {
-          topLeftCorner,
-          topRightCorner,
-          bottomLeftCorner,
-          bottomRightCorner,
-        } = scanner.getCornerPoints(paperContour, testImage);
-
-        const canvas = createCanvas();
-
-        cv.imshow(canvas, parsedImage);
-        const ctx = canvas.getContext("2d");
-        const points = [
-          { p: topLeftCorner, text: "top left corner" },
-          { p: topRightCorner, text: "top right corner" },
-          { p: bottomLeftCorner, text: "bottom left corner" },
-          { p: bottomRightCorner, text: "bottom right corner" },
-        ];
-        ctx.fillStyle = "cyan";
-        ctx.font = "25px serif";
-        points.forEach(({ p: point, text }) => {
-          ctx.beginPath();
-          ctx.arc(point.x, point.y, 15, 0, 2 * Math.PI, false);
-          ctx.fillText(text, point.x + 30, point.y)
-          ctx.fill();
         });
 
-        const cornerPointsOutputPath = OUTPUT_FOLDER + "corner_points-" + imageCount + ".jpg";
+        it("should extract paper", function () {
-        writeFileSync(cornerPointsOutputPath, canvas.toBuffer("image/jpeg"));
+            const extracted = scanner.extractPaper(testImage, 386, 500);
+            const extractedOutputPath = OUTPUT_FOLDER + "extracted-" + imageCount + ".jpg";
 
-        assert.ok(existsSync(cornerPointsOutputPath));
+            writeFileSync(
-        done();
+                extractedOutputPath,
-      });
+                extracted.toBuffer("image/jpeg")
+            );
+
+            assert.ok(existsSync(extractedOutputPath));
+        });
+
+        it("should label corner points", function () {
+            const parsedImage = cv.imread(testImage);
+            const paperContour = scanner.findPaperContour(parsedImage);
+            const {
+                topLeftCorner,
+                topRightCorner,
+                bottomLeftCorner,
+                bottomRightCorner,
+            } = scanner.getCornerPoints(paperContour, testImage);
+
+            const canvas = createCanvas();
+
+            cv.imshow(canvas, parsedImage);
+            const ctx = canvas.getContext("2d");
+            const points = [
+                { p: topLeftCorner, text: "top left corner" },
+                { p: topRightCorner, text: "top right corner" },
+                { p: bottomLeftCorner, text: "bottom left corner" },
+                { p: bottomRightCorner, text: "bottom right corner" },
+            ];
+            ctx.fillStyle = "cyan";
+            ctx.font = "25px serif";
+            points.forEach(({ p: point, text }) => {
+                ctx.beginPath();
+                ctx.arc(point.x, point.y, 15, 0, 2 * Math.PI, false);
+                ctx.fillText(text, point.x + 30, point.y)
+                ctx.fill();
+            });
+
+            const cornerPointsOutputPath = OUTPUT_FOLDER + "corner_points-" + imageCount + ".jpg";
+            writeFileSync(cornerPointsOutputPath, canvas.toBuffer("image/jpeg"));
+
+            assert.ok(existsSync(cornerPointsOutputPath));
+        });
     });
-  }
+}
 
-  setup();
+let imageCount = 1;
 
-  let imageCount = 1;
+/*
-
+ * go through all images in test image directory
-  /*
+ */
-   * go through all images in test image directory
+readdirSync(TEST_IMAGE_DIRECTORY).forEach((file) => {
-   */
-  readdirSync(TEST_IMAGE_DIRECTORY).forEach((file) => {
     const TEST_IMAGE_PATH = path.join(TEST_IMAGE_DIRECTORY, file);
-    
+
-    if(!file.endsWith("-sized.png")){ // these images are for the website, not testing
+    if (!file.endsWith("-sized.png")) { // these images are for the website, not testing
-      let tempCount = imageCount++;
+        let tempCount = imageCount++;
-  
+
-      loadImage(TEST_IMAGE_PATH).then(function (image) {
+        loadImage(TEST_IMAGE_PATH).then(function (image) {
-        test(image, tempCount);
+            test(image, tempCount);
-      });
+        });
     }
-  })
+})
-});