bump to 1.1.0 changing requirements to tfjs-node to 1.4.0

Author: bonastreyair

CHANGELOG.md

@@ -1,6 +1,12 @@
 # Changelog
 All notable changes to this project will be documented in this file.
 
+## [1.1.0] - 2020-04-22
+### Changed
+ * Updated image on how to use Teachable Machine and configuration node on Step 3
+ * Use standard image treatment for `README` instead of HTML
+ * Upgraded to `@tensorflow/tfjs-node v1.4.0` to enable coexistantce with [tfjs-nodes](https://github.com/dceejay/tfjs-nodes) nodes - [#8](https://github.com/bonastreyair/node-red-contrib-teachable-machine/issues/8)
+
 ## [1.0.1] - 2020-04-15
 ### Changed
  * Updated information help node

README.md

@@ -1,15 +1,14 @@
 # node-red-contrib-teachable-machine
-[![platform](https://img.shields.io/badge/platform-Node--RED-red)](https://nodered.org)
+[![Platform](https://img.shields.io/badge/platform-Node--RED-red)](https://nodered.org)
 [![GitHub release (latest by date)](https://img.shields.io/github/v/release/bonastreyair/node-red-contrib-teachable-machine)](https://github.com/bonastreyair/node-red-contrib-teachable-machine/blob/master/CHANGELOG.md)
 [![npm total downloads](https://img.shields.io/npm/dt/node-red-contrib-teachable-machine)](https://github.com/bonastreyair/node-red-contrib-teachable-machine/archive/master.zip)
 <br>[![JavaScript Style Guide](https://img.shields.io/badge/code_style-standard-brightgreen.svg)](https://standardjs.com)
 [![GitHub license](https://img.shields.io/github/license/dceejay/tfjs-nodes)](https://github.com/dceejay/tfjs-nodes/blob/master/LICENSE)
 
-
-A [Node-RED](https://nodered.org) node based in [tensorflow.js](https://www.tensorflow.org/js) that enables to run custom trained models using [Teachable Machine](https://teachablemachine.withgoogle.com/train/image) tool.
+A [Node-RED](https://nodered.org) node based in [tensorflow.js](https://www.tensorflow.org/js) that enables to run custom image classification trained models using [Teachable Machine](https://teachablemachine.withgoogle.com/train/image) tool.
 
 <p align="center">
-	<img src="https://user-images.githubusercontent.com/37800834/79343223-736d7d80-7f2e-11ea-9c85-b83fc73b0952.png" height="100">
+	<img src="https://user-images.githubusercontent.com/37800834/79343223-736d7d80-7f2e-11ea-9c85-b83fc73b0952.png" height="80">
 </p>
 
 ## Install
@@ -27,17 +26,17 @@ You have two options to install the node.
 ### Step 1
 Go to [Teachable Machine](https://teachablemachine.withgoogle.com/train/image) and follow the steps to train your custom classification model. Once trained click on the `Export Model` button.
 
-<img src="https://user-images.githubusercontent.com/37800834/79070802-4c1d7300-7cd8-11ea-9c12-03e1d7d8b01d.png" height="300">
+![teachable_steps](https://github.com/googlecreativelab/teachablemachine-community/blob/master/teachablemachine.gif)
 
 ### Step 2 
 Select `Tensorflow.js` format and upload your trained model (for free). Once it is uploaded, copy the generated URL.
 
-<img src="https://user-images.githubusercontent.com/37800834/79056723-8431a100-7c59-11ea-9488-346f4f8e6004.png" height="250">
+![use_teachable_machine](https://user-images.githubusercontent.com/37800834/79056723-8431a100-7c59-11ea-9488-346f4f8e6004.png)
 
 ### Step 3
 Paste the saved URL into the node configuration. That URL hosts all the information to load your trained model. Make sure you copy all the given URL including the `https://...`.
 
-<img src="https://user-images.githubusercontent.com/37800834/79343720-10c8b180-7f2f-11ea-90c6-7e70ef7034b1.png" height="250">
+![use_url](https://user-images.githubusercontent.com/37800834/80016824-f749db80-84d3-11ea-8817-9f7e42732f8a.png)
 
 ### Step 4 
 In `Node-RED` send a buffered image to the node. Check the example in the `Import` section.

package.json

@@ -1,11 +1,11 @@
 {
   "name": "node-red-contrib-teachable-machine",
-  "version": "1.0.1",
+  "version": "1.1.0",
   "description": "Simplifies integration with Teachable Machine models from Google",
   "dependencies": {
-    "@tensorflow/tfjs-node": "1.3.1",
+    "@tensorflow/tfjs-node": "1.4.0",
     "@teachablemachine/image": "0.8.4",
-    "jsdom": "16.2.2", 
+    "jsdom": "16.2.2",
     "canvas": "2.6.1"
   },
   "keywords": [

teachable_machine.js

@@ -6,7 +6,7 @@ module.exports = function (RED) {
   global.document = dom.window.document
   // Require basic libraries
   const tmImage = require('@teachablemachine/image')
-  const Canvas = require('canvas')
+  const canvas = require('canvas')
   global.fetch = require('node-fetch')
   // Teachable Machine needs global scope of HTMLVideoElement class to do a check
   global.HTMLVideoElement = class HTMLVideoElement {}
@@ -98,7 +98,7 @@ module.exports = function (RED) {
     // Converts the image, makes inference and treats predictions
     async function inference (msg) {
       setNodeStatus(node, 'infering')
-      const image = new Canvas.Image()
+      const image = new canvas.Image()
       image.src = msg.image
       msg.classes = node.model.getClassLabels()
       var predictions = await node.model.predict(image)