smartcrop - npm Package Compare versions

Comparing version 1.0.0 to 1.1.0

package.json

 {
   "name": "smartcrop",
-  "version": "1.0.0",
+  "version": "1.1.0",
   "description": "Content aware image cropping.",
@@ -16,4 +16,9 @@ "homepage": "https://github.com/jwagner/smartcrop.js",
     "grunt-rsync": "~0.5.0",
+    "karma": "^1.1.0",
+    "karma-chrome-launcher": "^1.0.1",
+    "karma-mocha": "^1.1.1",
+    "karma-sauce-launcher": "^1.0.0",
     "microtime": "^2.0.0",
-    "mocha": "^1.18.2"
+    "mocha": "^1.18.2",
+    "promise-polyfill": "^5.2.1"
   },
@@ -24,3 +29,6 @@ "license": "MIT",
     "url": "https://github.com/jwagner/smartcrop.js.git"
+  },
+  "scripts": {
+    "test": "./node_modules/.bin/karma start karma.conf.js"
   }
 }

README.md

 # smartcrop.js
 
+[![Build Status](https://travis-ci.org/jwagner/smartcrop.js.svg?branch=travis)](https://travis-ci.org/jwagner/smartcrop.js)
+
 Smartcrop.js implements an algorithm to find good crops for images.
@@ -159,2 +161,5 @@ It can be used in the browser, in node or via a CLI.
 
+### 1.1
+Creating github releases. Added options.input which is getting passed along to iop.open.
+
 ### 1.0
@@ -161,0 +166,0 @@ Refactoring/cleanup to make it easier to use with node.js (dropping the node-canvas dependency) and enable support for boosts which can be used to do face detection.

smartcrop.js

@@ -91,3 +91,3 @@ /**
 
-  return iop.open(inputImage).then(function(image) {
+  return iop.open(inputImage, options.input).then(function(image) {
 
@@ -400,19 +400,2 @@ if (options.width && options.height) {
 
-function downSampleCanvas(input, factor) {
-  var c = document.createElement('canvas');
-  c.width = input.width;
-  c.height = input.height;
-  var ctx = c.getContext('2d');
-  var id = ctx.createImageData(c.width, c.height);
-  id.data.set(input.data);
-  for (var i = 0; i < id.data.length; i += 4) {
-    id.data[i + 3] = 255;
-  }
-  ctx.putImageData(id, 0, 0);
-  var w = Math.ceil(input.width / factor);
-  var h = Math.ceil(input.height / factor);
-  ctx.drawImage(c, 0, 0, input.width, input.height, 0, 0, w, h);
-  return ctx.getImageData(0, 0, w, h);
-}
-
 function downSample(input, factor) {
@@ -511,2 +494,3 @@ var idata = input.data;
 }
+smartcrop._canvasImageOperations = canvasImageOperations;
 
@@ -513,0 +497,0 @@ // Aliases and helpers

test/smartcrop.js

 (function() {
+mocha.setup('bdd');
+var expect = chai.expect;
+
 var KITTY = '/examples/images/flickr/kitty.jpg';
@@ -48,3 +51,3 @@ describe('smartcrop', function() {
     it('should take into account boost', function() {
-      var boost = [{x : img.width - 128, y: img.height - 128, width: 64, height: 64, weight: 1.0}];
+      var boost = [{x: img.width - 128, y: img.height - 128, width: 64, height: 64, weight: 1.0}];
       console.log(img.width, img.height);
@@ -65,2 +68,24 @@ return smartcrop.crop(img, {boost: boost}, function(result) {
   });
+  describe('iop', function() {
+    describe('open', function() {
+      it('passes input options', function() {
+        var iop = smartcrop._canvasImageOperations(smartcrop.DEFAULTS.canvasFactory);
+        var open = iop.open;
+        var inputOptions;
+        iop.open = function(image, inputOptions_) {
+          inputOptions = inputOptions_;
+          return open(image);
+        };
+        var options = {
+          imageOperations: iop,
+          input: {foo: 'bar'}
+        };
+        return smartcrop.crop(img, options, function(result) {
+          expect(inputOptions).to.equal(options.input);
+          validResult(result);
+        });
+      });
+    });
+  });
+
   describe('_downSample', function() {
@@ -67,0 +92,0 @@ var input = {

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Major refactor

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Improved metrics

Total package byte prevSize

32282131

increased by1665.55%

Number of package files

79

increased by9.72%

Lines of code

790

increased by6.76%

Number of lines in readme file

171

increased by3.01%

Number of medium supply chain risk alerts

35

decreased by-2.78%

Worsened metrics

Dev dependency count

14

increased by55.56%

No dependency changes