Update README.md

package.json

@@ -1,6 +1,6 @@
 {
   "name": "jscanify",
-  "version": "1.4.0",
+  "version": "1.3.3",
   "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": "^3.1.0",
+    "canvas": "^2.11.2",
-    "jsdom": "^26.0.0",
+    "jsdom": "^22.0.0",
-    "mocha": "^11.1.0"
+    "mocha": "^10.2.0"
   }
 }

src/jscanify-node.js

@@ -1,4 +1,4 @@
-/*! jscanify v1.4.0 | (c) ColonelParrot and other contributors | MIT License */
+/*! jscanify v1.3.3 | (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 = cornerPoints ? null : this.findPaperContour(img);
+    const maxContour = this.findPaperContour(img);
 
-    if(maxContour == null && cornerPoints === undefined){
+    if(maxContour == null){
       return null;
     }
 

src/jscanify.js

@@ -1,4 +1,4 @@
-/*! jscanify v1.4.0 | (c) ColonelParrot and other contributors | MIT License */
+/*! jscanify v1.3.3 | (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 = cornerPoints ? null : this.findPaperContour(img);
+      const maxContour = this.findPaperContour(img);
 
-      if(maxContour == null && cornerPoints === undefined){
+      if(maxContour == null){
         return null;
       }
 

test/tests.js

@@ -16,125 +16,122 @@ 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));
-    })
+  })
 }
 
-let scanner;
+console.log("=== beginning  tests ===");
-let cv;
+console.log("loading OpenCV.js...");
 
-before(function (done) {
+const scanner = new jscanify();
-    console.log("=== beginning  tests ===");
+scanner.loadOpenCV(function (cv) {
-    console.log("loading OpenCV.js...");
 
-    scanner = new jscanify();
+  console.log("Finished loading OpenCV.js");
-    scanner.loadOpenCV(function (loadedCv) {
+  console.log("Writing test images to: " + OUTPUT_FOLDER);
-        cv = loadedCv;
 
-        console.log("Finished loading OpenCV.js");
+  /**
-        console.log("Writing test images to: " + OUTPUT_FOLDER);
+   * tests an individual image
-        setup()
+   */
-        done();
+  function test(testImage, imageCount) {
-    });
-});
-
-/**
- * tests an individual image
- */
-function test(testImage, imageCount) {
     describe("image #" + imageCount, function () {
-        it("should highlight paper", function () {
+      it("should highlight paper", function (done) {
-            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();
         });
 
-        it("should extract paper", function () {
+        const cornerPointsOutputPath = OUTPUT_FOLDER + "corner_points-" + imageCount + ".jpg";
-            const extracted = scanner.extractPaper(testImage, 386, 500);
+        writeFileSync(cornerPointsOutputPath, canvas.toBuffer("image/jpeg"));
-            const extractedOutputPath = OUTPUT_FOLDER + "extracted-" + imageCount + ".jpg";
 
-            writeFileSync(
+        assert.ok(existsSync(cornerPointsOutputPath));
-                extractedOutputPath,
+        done();
-                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));
-        });
     });
-}
+  }
 
-let imageCount = 1;
+  setup();
 
-/*
+  let imageCount = 1;
- * go through all images in test image directory
+
- */
+  /*
-readdirSync(TEST_IMAGE_DIRECTORY).forEach((file) => {
+   * go through all images in test image directory
+   */
+  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);
-        });
+      });
     }
-})
+  })
+});