diff --git a/package.json b/package.json
index a22c2f6..4405141 100755
--- a/package.json
+++ b/package.json
@@ -8,12 +8,12 @@
   },
   "version": "1.0.0",
   "devDependencies": {
-    "vows": "*"
+    "tape": "^3.0.0"
   },
   "license": "MIT",
   "scripts": {
     "build": "node-gyp build",
-    "test": "vows test/unit.js"
+    "test": "node test/unit.js"
   },
   "keywords": [
     "opencv",
diff --git a/test/unit.js b/test/unit.js
index 3c2c968..ac5609d 100755
--- a/test/unit.js
+++ b/test/unit.js
@@ -1,389 +1,277 @@
-var vows = require('vows')
-  , assert = require('assert')
-  , fs = require('fs');
-
-assertDeepSimilar = function(res, exp){
-  for (var i = 0; i < res.length; i++){
- //   res[i] = Math.round(res[i]/100)*100;
-  }
-  assert.deepEqual(res, exp)
-}
-
-assertWithinRange = function(res, exp, range){
-  assert.ok((res - exp) < range || (res - exp) > -range, "Not within range:" + res + " (" + exp + "+- " + range + ")")  
-}
-
-assertWithinRanges = function(res, exp, range){
-  for (var i =0; i<res.length; i++){
-    assertWithinRange(res[i], exp[i], range);
-  }
-}
-
-vows.describe('Smoke Tests OpenCV').addBatch({
-	  "Importing": {
-
-    	topic: require('../lib/opencv')
-
-      , "returns obj": function(topic){
-        assert.ok(!!topic)
-      }
-
-    	, '.version' : function(topic){
-    		assert.ok(!!topic.version)
-    	  }
-
-    	, '.Point imports': function(topic){
-    		assert.ok(!!topic.Point)
-    	}
-
-      , '.Matrix imports': function(topic){
-        assert.ok(!!topic.Matrix)
-      }
-
-      , 'importing library multiple times is ok' : function(){
-        var cv1 = require('../lib/opencv')
-          , cv2 = require('../lib/opencv')
-          cv1.readImage('./examples/files/mona.png', function(){});
-          cv2.readImage('./examples/files/mona.png', function(){});
-      }
-    }
-
-  , "Point" : {
-    topic : require('../lib/opencv')
-
-    , 'constructor' : function(cv){
-      assert.ok(!!new cv.Point(1, 2))
-      assert.throws(function () { cv.Point(1, 2)}, TypeError); // cannot call without new
-    }
-
-    , 'accessors' : function(cv){
-        assert.equal(new cv.Point(1, 2).x, 1)
-        assert.equal(new cv.Point(1, 2).y, 2)
-        assert.equal(Math.round(new cv.Point(1.1, 2).x * 100), 110)
-        assert.equal(Math.round(new cv.Point(1.2, 2.75).y *100), 275)
-
-        assert.throws(function () {new cv.Point(1.1, 2).x = 5}, Error); // Points are immutable
-        assert.throws(function () {new cv.Point(1.1, 2).y = 5}, Error); // Points are immutable
-
-    }
+var fs = require('fs')
+  , test = require('tape')
+  , cv = null
 
 
-    , '.dot': function(cv){
-      var p1 = new cv.Point(3, 6)
-        , p2 = new cv.Point(5, 7)
 
-      assert.ok(p1.dot);
-      assert.equal(p1.dot(p2), 57);
-
-    }
-
-    , '.inside' : function(){}
-  }
+test("Smoke tests / Can Import", function(t){
+  cv = require('../lib/opencv')
+  t.ok(cv, "imported fine")
+  t.ok(cv.version, "version is there:" + cv.version)
+  t.ok(cv.Point, "point is there")
+  t.ok(cv.Matrix, "matrix is there")
+  t.end()
+})
 
 
-  , "Matrix": {
-    topic : require('../lib/opencv')
-
-    , "constructor" : function(cv){
-      assert.ok(cv.Matrix);
-      assert.ok(new cv.Matrix);
-      assert.ok(new cv.Matrix(1,2));
-    }
-
-    , "set/row" : function(cv){
-      var mat = new cv.Matrix(1, 2);
-      mat.set(0,0,3)
-      mat.set(0,1,5000)
-      assert.deepEqual(mat.row(0), [3,5000]);
-    }
-
-    , "get/set" : function(cv){
-       var mat = new cv.Matrix(1,2);
-       assert.equal(mat.set(0,0,3), undefined);
-       assert.equal(mat.get(0,0), 3);
-    }
-
-    , ".width" : function(cv){
-      var mat = new cv.Matrix(6,7);
-      assert.equal(mat.width(), 7);
-    }
-
-    , ".height" : function(cv){
-      var mat = new cv.Matrix(6,7);
-      assert.equal(mat.height(), 6);
-    }
-
-    , ".size" : function(cv){
-      var mat = new cv.Matrix(6,7);
-      assert.deepEqual(mat.size(), [6, 7]);
-    }
-
-
-    , "resize" : function(cv){
-      var mat = new cv.Matrix(6,7);
-      assert.equal(mat.width(), 7);
-      mat.resize(8,9);
-      assert.equal(mat.width(), 8);
-
-    }
-
-    , 'row' : function(cv){
-      var mat = new cv.Matrix.Eye(4,4)
-      assertDeepSimilar(mat.row(1), [0,1,0,0])
-      assertDeepSimilar(mat.row(2), [0,0,1,0])
-    }
-
-    , 'col' : function(cv){
-      var mat = new cv.Matrix.Eye(4,4);
-      assertDeepSimilar(mat.col(1), [0,1,0,0])
-      assertDeepSimilar(mat.col(2), [0,0,1,0])
-    }
-
-    , "empty": function(cv){
-      assert.equal(new cv.Matrix().empty(), true);
-    }
-
-    , "toBuffer": function(cv){
-        var buf = fs.readFileSync('./examples/files/mona.png')
-
-        cv.readImage(buf.slice(0), function(err, mat){
-          var buf0 = mat.toBuffer()
-
-          assert.ok(buf0);
-        //assert.equal(buf.toString('base64'), buf0.toString('base64'));
-        })
-
-    }
-
-    , "toBuffer Async": {
-      topic: function(cv){
-          var buf = fs.readFileSync('./examples/files/mona.png')
-            , cb = this.callback
-          cv.readImage(buf.slice(0), function(err, mat){
-            var buff = mat.toBuffer(function(){
-              cb.apply(this, arguments)
-            })
-          })
-        }
-    ,  'gives a buffer' : function(e, res){
-        assert.ok(!e)
-        assert.ok(res);
-        assert.ok(res.length > 100);
-      }
-    }
-
-    , "detectObject": {
-
-     topic : function(){
-        var cv = require('../lib/opencv')
-          , cb = this.callback
-
-        cv.readImage("./examples/files/mona.png", function(err, im){
-          im.detectObject(cv.FACE_CASCADE, {}, cb)
-        })
-      }
-
-      , "finds face": function(err, faces){
-          assert.isNull(err);
-          assert.isArray(faces);
-          assert.equal(faces.length, 1)
-      }
-    }
-
-    , ".absDiff and .countNonZero" : function(cv) {
-      cv.readImage("./examples/files/mona.png", function(err, im) {
-        cv.readImage("./examples/files/mona.png", function(err, im2){
-          assert.ok(im);
-          assert.ok(im2);
-
-          var diff = new cv.Matrix(im.width(), im.height());
-          diff.absDiff(im, im2);
-
-          diff.convertGrayscale();
-          assert.equal(diff.countNonZero(), 0);
-        });
+test('importing library multiple times is ok', function(t){
+  var cv1 = require('../lib/opencv')
+    , cv2 = require('../lib/opencv')
+    cv1.readImage('./examples/files/mona.png', function(err, im){
+      t.error(err)
+      cv2.readImage('./examples/files/mona.png', function(err, im){
+        t.error(err)
+        t.end();
       });
-    }
+    });
+})
 
-    , ".bitwiseXor" : function(cv) {
-      var mat1 = new cv.Matrix(1,1);
-      mat1.set(0,0, 1);
 
-      var mat2 = new cv.Matrix(1,1);
-      mat2.set(0,0, 1);
+test('Point', function(t){
 
-      var xored = new cv.Matrix(1,1);
-      xored.bitwiseXor(mat1, mat2);
+  t.ok(new cv.Point(1, 2))
+  t.throws(function () { cv.Point(1, 2)}, TypeError, "cannot call without new")
 
-      assert.equal(xored.get(0,0), 0);
-    }
+  t.equal(new cv.Point(1, 2).x, 1)
+  t.equal(new cv.Point(1, 2).y, 2)
+  t.equal(Math.round(new cv.Point(1.1, 2).x * 100), 110)
+  t.equal(Math.round(new cv.Point(1.2, 2.75).y *100), 275)
 
-  }
+  t.throws(function () {new cv.Point(1.1, 2).x = 5}, Error, "Points are immutable")
+  t.throws(function () {new cv.Point(1.1, 2).y = 5}, Error, "Points are immutable")
+
+  var p1 = new cv.Point(3, 6)
+    , p2 = new cv.Point(5, 7)
+
+  t.ok(p1.dot);
+  t.equal(p1.dot(p2), 57);
+
+  t.end()
+})
+
+
+test('Matrix constructor', function(assert){
+  assert.ok(cv.Matrix);
+  assert.ok(new cv.Matrix);
+  assert.ok(new cv.Matrix(1,2));
+  assert.end()
+})
+
+test('Matrix accessors', function(assert){
+  var mat = new cv.Matrix(1, 2);
+  mat.set(0,0,3)
+  mat.set(0,1,5000)
+  assert.deepEqual(mat.row(0), [3,5000]);
+
+  mat = new cv.Matrix(1,2);
+  assert.equal(mat.set(0,0,3), undefined);
+  assert.equal(mat.get(0,0), 3);
+
+  mat = new cv.Matrix(6,7);
+  assert.equal(mat.width(), 7);
+
+  mat = new cv.Matrix(6,7);
+  assert.equal(mat.height(), 6);
+
+  mat = new cv.Matrix(6,7);
+  assert.deepEqual(mat.size(), [6, 7]);
+
+  mat = new cv.Matrix(6,7);
+  assert.equal(mat.width(), 7);
+  mat.resize(8,9);
+  assert.equal(mat.width(), 8);
+
+  mat = new cv.Matrix.Eye(4,4)
+  assert.deepEqual(mat.row(1), [0,1,0,0])
+  assert.deepEqual(mat.row(2), [0,0,1,0])
+
+  mat = new cv.Matrix.Eye(4,4);
+  assert.deepEqual(mat.col(1), [0,1,0,0])
+  assert.deepEqual(mat.col(2), [0,0,1,0])
+
+  assert.equal(new cv.Matrix().empty(), true);
+
+  assert.end()
+})
+
+
+test("Matrix toBuffer", function(assert){
+  var buf = fs.readFileSync('./examples/files/mona.png')
+
+  cv.readImage(buf.slice(0), function(err, mat){
+    var buf0 = mat.toBuffer()
+    assert.ok(buf0);
+    assert.end()
+  })
+})
 
 
 
-  , "Image" : {
-    topic : require('../lib/opencv')
+test("Matrix toBuffer Async", function(assert){
+  var buf = fs.readFileSync('./examples/files/mona.png')
 
-    , ".readImage from file": function(cv){
-      cv.readImage("./examples/files/mona.png", function(err, im){
-        assert.ok(im);
-        assert.equal(im.width(), 500);
-        assert.equal(im.height(), 756)
-        assert.equal(im.empty(), false)
-      })
-    }
+  cv.readImage(buf.slice(0), function(err, mat){
+    mat.toBuffer(function(err, buff){
+      assert.error(err)
+      assert.ok(buf)
+      assert.ok(buf.length > 100)
 
-    , ".readImage from buffer" : function(cv){
-      cv.readImage(fs.readFileSync('./examples/files/mona.png'), function(err, im){
-        assert.ok(im);
-        assert.equal(im.width(), 500);
-        assert.equal(im.height(), 756)
-        assert.equal(im.empty(), false)
-      })
-
-    }
-
-  }
+      assert.end()
+    })
+  })
+})
 
 
-  , "CascadeClassifier": {
-    topic : require('../lib/opencv')
+test("detectObject", function(assert){
+  cv.readImage("./examples/files/mona.png", function(err, im){
+    im.detectObject(cv.FACE_CASCADE, {}, function(err, faces){
+      assert.error(err)
+      assert.ok(faces)
+      assert.equal(faces.length, 1)
+      assert.end()
+    })
+  })
+})
 
-    , "constructor" : function(cv){
-      assert.ok(new cv.CascadeClassifier("./data/haarcascade_frontalface_alt.xml"))
-    }
+test(".absDiff and .countNonZero", function(assert){
+  cv.readImage("./examples/files/mona.png", function(err, im) {
+    cv.readImage("./examples/files/mona.png", function(err, im2){
+      assert.ok(im);
+      assert.ok(im2);
 
-    , "face detection": {
-      topic : function(){
-        var cv = require('../lib/opencv')
-          , self = this
+      var diff = new cv.Matrix(im.width(), im.height());
+      diff.absDiff(im, im2);
 
-        cv.readImage("./examples/files/mona.png", function(err, im){
-          cascade = new cv.CascadeClassifier("./data/haarcascade_frontalface_alt.xml");
-          cascade.detectMultiScale(im, self.callback)//, 1.1, 2, [30, 30]);
-        })
-
-      }
-
-      , "finds face": function(err, faces){
-          assert.isNull(err);
-          assert.isArray(faces);
-          assert.equal(faces.length, 1)
-
-      }
-    }
-
-  }
+      diff.convertGrayscale();
+      assert.equal(diff.countNonZero(), 0);
+      assert.end()
+    });
+  });
+})
 
 
-  , "ImageDataStream" : {
-    topic : require('../lib/opencv')
+test(".bitwiseXor", function(assert){
+  var mat1 = new cv.Matrix(1,1);
+  mat1.set(0,0, 1);
 
-    , "pipe" : {
-      topic : function(cv){
-        var s = new cv.ImageDataStream()
-          , self = this
-        s.on('load', function(im){ 
-          assert.ok(im)
-          assert.equal(im.empty(), false);
-          self.callback()
-        }) 
-        fs.createReadStream('./examples/files/mona.png').pipe(s);
-      }
+  var mat2 = new cv.Matrix(1,1);
+  mat2.set(0,0, 1);
 
-      , "loaded" : function(im){
-        //assert.ok(im)
-        //assert.equal(im.empty(), false);
-      }
-    }
+  var xored = new cv.Matrix(1,1);
+  xored.bitwiseXor(mat1, mat2);
+
+  assert.equal(xored.get(0,0), 0);
+
+  assert.end()
+})
 
 
-  }
-  , "ImageStream" :{
-    topic : require('../lib/opencv')
-    , "write" : {
-      topic: function(cv){
-        var s = new cv.ImageStream()
-          , im = fs.readFileSync('./examples/files/mona.png')
-          , self = this;
-
-        s.on('data', function(m){
-          self.callback(null, m)
-        })
-        s.write(im);
-      }
-      , "receives data" : function(mat){
-        assert.deepEqual(mat.size(), [756,500])
-      }
-    }
-
-  }
-  , "ObjectDetectionStream" :{
-    topic : require('../lib/opencv')
-
-  }
-
-  , "CamShift" : {
-
-     "Can Create and Track" : {
-      topic : function(){
-        var cv = require('../lib/opencv')
-          , self = this
-
-        cv.readImage('./examples/files/coin1.jpg', function(e, im){
-          cv.readImage('./examples/files/coin2.jpg', function(e, im2){
-            self.callback(im, im2, cv)
-          })
-        })
-      }
-
-      , "create TrackedObject" : function(im, im2, cv){
-        var tracked = new cv.TrackedObject(im, [420, 110, 490, 170]);
-        assert.ok(tracked);
-      }
-
-      , "use TrackedObject.track" : function(im, im2, cv){
-          var tracked = new cv.TrackedObject(im, [420, 110, 490, 170], {channel: 'v'});
-          assertWithinRanges(tracked.track(im2), [386, 112, 459, 166], 10);
-      }
-    }
-
-  }
-
-  , "putText": {
-    topic: function() {
-      var cv = require('../lib/opencv')
-        , self = this
-
-      cv.readImage('./examples/files/coin1.jpg', function(e, im){
-        self.callback(null, im);
-      });
-    },
-    "fonts": function(im) {
-      function rnd() {
-        return Math.round(Math.random() * 255);
-      };
-
-      var y = 0;
-
-      ([
-        "HERSEY_SIMPLEX",
-        "HERSEY_PLAIN",
-        "HERSEY_DUPLEX",
-        "HERSEY_COMPLEX",
-        "HERSEY_TRIPLEX",
-        "HERSEY_COMPLEX_SMALL",
-        "HERSEY_SCRIPT_SIMPLEX",
-        "HERSEY_SCRIPT_COMPLEX",
-        "HERSEY_SCRIPT_SIMPLEX"
-      ]).forEach(function(font) {
-        im.putText("Some text", 0, y += 20, font, [rnd(), rnd(), rnd()]);
-      });
-
-      im.save("./examples/tmp/coin1-with-text.jpg");
-    }
-  }
+test("Image read from file", function(assert){
+  cv.readImage("./examples/files/mona.png", function(err, im){
+    assert.ok(im);
+    assert.equal(im.width(), 500);
+    assert.equal(im.height(), 756)
+    assert.equal(im.empty(), false)
+    assert.end()
+  })
+})
 
 
-}).export(module);
+test("read Image from buffer", function(assert){
+  cv.readImage(fs.readFileSync('./examples/files/mona.png'), function(err, im){
+    assert.ok(im);
+    assert.equal(im.width(), 500);
+    assert.equal(im.height(), 756)
+    assert.equal(im.empty(), false)
+    assert.end()
+  })
+})
+
+test("Cascade Classifier", function(assert){
+  assert.ok(new cv.CascadeClassifier("./data/haarcascade_frontalface_alt.xml"), 'test constructor')
+
+  cv.readImage("./examples/files/mona.png", function(err, im){
+    cascade = new cv.CascadeClassifier("./data/haarcascade_frontalface_alt.xml");
+    cascade.detectMultiScale(im, function(err, faces){//, 1.1, 2, [30, 30]);
+      assert.error(err);
+      assert.equal(typeof faces, typeof []);
+      assert.equal(faces.length, 1)
+      assert.end()
+    })
+  })
+})
+
+
+test("ImageDataStream", function(assert){
+  var s = new cv.ImageDataStream()
+  s.on('load', function(im){ 
+    assert.ok(im)
+    assert.equal(im.empty(), false);
+    assert.end()
+  })
+
+  fs.createReadStream('./examples/files/mona.png').pipe(s);
+
+})
+
+test("ImageStream", function(assert){
+  var s = new cv.ImageStream()
+    , im = fs.readFileSync('./examples/files/mona.png')
+
+  s.on('data', function(mat){
+    assert.deepEqual(mat.size(), [756,500])
+    assert.end()
+  })
+  s.write(im);
+})
+
+
+test("CamShift", function(assert){
+  cv.readImage('./examples/files/coin1.jpg', function(e, im){
+    cv.readImage('./examples/files/coin2.jpg', function(e, im2){
+      var tracked = new cv.TrackedObject(im, [420, 110, 490, 170], {channel: 'v'});
+      assert.ok(tracked);
+      var res = tracked.track(im2)
+      assert.ok(res);
+      assert.ok(res[0]  < 396)
+      assert.ok(res[0]  > 376)
+      assert.ok(res[1]  < 122)
+      assert.ok(res[1]  > 102)
+      assert.ok(res[2]  < 469)
+      assert.ok(res[2]  > 449)
+      assert.ok(res[3]  < 176)
+      assert.ok(res[3]  > 156)
+      assert.end()
+    })
+  })
+})
+
+test("fonts", function(t) {
+
+  function rnd() {
+    return Math.round(Math.random() * 255);
+  };
+
+  cv.readImage('./examples/files/coin1.jpg', function(e, im){
+    var y = 0;
+
+    ([
+      "HERSEY_SIMPLEX",
+      "HERSEY_PLAIN",
+      "HERSEY_DUPLEX",
+      "HERSEY_COMPLEX",
+      "HERSEY_TRIPLEX",
+      "HERSEY_COMPLEX_SMALL",
+      "HERSEY_SCRIPT_SIMPLEX",
+      "HERSEY_SCRIPT_COMPLEX",
+      "HERSEY_SCRIPT_SIMPLEX"
+    ]).forEach(function(font) {
+      im.putText("Some text", 0, y += 20, font, [rnd(), rnd(), rnd()]);
+    });
+
+    t.ok(im, "image is ok")
+    //im.save("./examples/tmp/coin1-with-text.jpg");
+    t.end();
+  });
+})
+