redid the YOLO object detection algorithm

README.md

@@ -1,63 +1,63 @@
-# ![ml5](https://user-images.githubusercontent.com/10605821/41332516-2ee26714-6eac-11e8-83e4-a40b8761e764.png)
-
-[![BrowserStack Status](https://www.browserstack.com/automate/badge.svg?badge_key=QVNDdlkvMzNYSmhRRWlweXlIOTBENkd0MDBCOUJlbmFVZFRneFIzNlh4az0tLXA4S0loSGNlVUc2V2I3cVdLdXBKdGc9PQ==--8a5e5bfd3eafbba0702c02ec57ffec9d627a78ef)](https://www.browserstack.com/automate/public-build/QVNDdlkvMzNYSmhRRWlweXlIOTBENkd0MDBCOUJlbmFVZFRneFIzNlh4az0tLXA4S0loSGNlVUc2V2I3cVdLdXBKdGc9PQ==--8a5e5bfd3eafbba0702c02ec57ffec9d627a78ef)[![Version](https://img.shields.io/npm/v/ml5.svg?style=flat-square)](https://www.npmjs.com/package/ml5)
-[![Twitter Follow](https://img.shields.io/twitter/follow/espadrine.svg?style=social&label=Follow)](https://twitter.com/ml5js)
-
-
-
-**_This project is currently in development._**
-
-## Friendly machine learning for the web!
-
-ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of [TensorFlow.js](https://js.tensorflow.org/) with no other external dependencies.
-
-The library is supported by code examples, tutorials, and sample data sets with an emphasis on ethical computing. Bias in data, stereotypical harms, and responsible crowdsourcing are part of the documentation around data collection and usage.
-
-ml5.js is heavily inspired by [Processing](https://processing.org/) and [p5.js](https://p5js.org/).
-
-## Usage
-
-There are several ways you can use the ml5.js library:
-
-* You can use the latest online version by adding it to the head section of your HTML document:
-
-```javascript
-<script src="https://unpkg.com/ml5@latest/dist/ml5.min.js" type="text/javascript"></script>
-```
-
-* Or you can use an specific version of the library:
-**v0.2.1**
-```javascript
-<script src="https://unpkg.com/[email protected]/dist/ml5.min.js" type="text/javascript"></script>
-```
-
-**v0.1.3**
-```javascript
-<script src="https://unpkg.com/[email protected]/dist/ml5.min.js" type="text/javascript"></script>
-```
-
-* Or you can download the [minified](https://raw.githubusercontent.com/ml5js/ml5-library/master/dist/ml5.min.js) and include the file:
-
-```javascript
-<script src="ml5.min.js" type="text/javascript"></script>
-```
-
-## Resources
-
-- [Getting Started](https://ml5js.org/docs/getting-started)
-- [API Reference](https://ml5js.org/docs/ImageClassifier)
-- [Examples](https://ml5js.org/docs/quick-start)
-- [Learn](https://ml5js.org/docs/glossary-machine-learning)
-- [Experiments](https://ml5js.org/en/experiments)
-
-## Standalone Examples
-
-You can find a collection of standalone examples in this repository: [github.com/ml5js/ml5-examples](https://github.com/ml5js/ml5-examples)
-
-These examples are meant to serve as an introduction to the library and machine learning concepts.
-
-## Contributing
-
-See [CONTRIBUTING](CONTRIBUTING.md)
-
-Thanks [BrowserStack](https://www.browserstack.com/) for providing testing support.
+# ![ml5](https://user-images.githubusercontent.com/10605821/41332516-2ee26714-6eac-11e8-83e4-a40b8761e764.png)
+
+[![BrowserStack Status](https://www.browserstack.com/automate/badge.svg?badge_key=QVNDdlkvMzNYSmhRRWlweXlIOTBENkd0MDBCOUJlbmFVZFRneFIzNlh4az0tLXA4S0loSGNlVUc2V2I3cVdLdXBKdGc9PQ==--8a5e5bfd3eafbba0702c02ec57ffec9d627a78ef)](https://www.browserstack.com/automate/public-build/QVNDdlkvMzNYSmhRRWlweXlIOTBENkd0MDBCOUJlbmFVZFRneFIzNlh4az0tLXA4S0loSGNlVUc2V2I3cVdLdXBKdGc9PQ==--8a5e5bfd3eafbba0702c02ec57ffec9d627a78ef)[![Version](https://img.shields.io/npm/v/ml5.svg?style=flat-square)](https://www.npmjs.com/package/ml5)
+[![Twitter Follow](https://img.shields.io/twitter/follow/espadrine.svg?style=social&label=Follow)](https://twitter.com/ml5js)
+
+
+
+**_This project is currently in development._**
+
+## Friendly machine learning for the web!
+
+ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of [TensorFlow.js](https://js.tensorflow.org/) with no other external dependencies.
+
+The library is supported by code examples, tutorials, and sample data sets with an emphasis on ethical computing. Bias in data, stereotypical harms, and responsible crowdsourcing are part of the documentation around data collection and usage.
+
+ml5.js is heavily inspired by [Processing](https://processing.org/) and [p5.js](https://p5js.org/).
+
+## Usage
+
+There are several ways you can use the ml5.js library:
+
+* You can use the latest online version by adding it to the head section of your HTML document:
+
+```javascript
+<script src="https://unpkg.com/ml5@latest/dist/ml5.min.js" type="text/javascript"></script>
+```
+
+* Or you can use an specific version of the library:
+**v0.2.1**
+```javascript
+<script src="https://unpkg.com/[email protected]/dist/ml5.min.js" type="text/javascript"></script>
+```
+
+**v0.1.3**
+```javascript
+<script src="https://unpkg.com/[email protected]/dist/ml5.min.js" type="text/javascript"></script>
+```
+
+* Or you can download the [minified](https://raw.githubusercontent.com/ml5js/ml5-library/master/dist/ml5.min.js) and include the file:
+
+```javascript
+<script src="ml5.min.js" type="text/javascript"></script>
+```
+
+## Resources
+
+- [Getting Started](https://ml5js.org/docs/getting-started)
+- [API Reference](https://ml5js.org/docs/ImageClassifier)
+- [Examples](https://ml5js.org/docs/quick-start)
+- [Learn](https://ml5js.org/docs/glossary-machine-learning)
+- [Experiments](https://ml5js.org/en/experiments)
+
+## Standalone Examples
+
+You can find a collection of standalone examples in this repository: [github.com/ml5js/ml5-examples](https://github.com/ml5js/ml5-examples)
+
+These examples are meant to serve as an introduction to the library and machine learning concepts.
+
+## Contributing
+
+See [CONTRIBUTING](CONTRIBUTING.md)
+
+Thanks [BrowserStack](https://www.browserstack.com/) for providing testing support.

karma.conf.js

@@ -45,7 +45,7 @@ module.exports = (config) => {
     },
     browserStack: {
       username: process.env.BROWSERSTACK_USERNAME,
-      accessKey: process.env.BROWSERSTACK_ACCESS_KEY
+      accessKey: process.env.BROWSERSTACK_ACCESS_KEY,
     },
     captureTimeout: 120000,
     reportSlowerThan: 500,
@@ -56,7 +56,7 @@ module.exports = (config) => {
         browser: 'chrome',
         browser_version: 'latest',
         os: 'OS X',
-        os_version: 'High Sierra'
+        os_version: 'High Sierra',
       },
     },
     reporters: ['mocha'],
@@ -66,6 +66,6 @@ module.exports = (config) => {
     autoWatch: true,
     browsers: ['Chrome'],
     singleRun: false,
-    concurrency: Infinity
+    concurrency: Infinity,
   });
 };