├── images
    ├── added-node.png
    ├── node-function.png
    └── custom-model-watson-studio.png
├── .gitignore
└── README.md


/images/added-node.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/blumareks/ai-visrec-under-10min/HEAD/images/added-node.png


--------------------------------------------------------------------------------
/images/node-function.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/blumareks/ai-visrec-under-10min/HEAD/images/node-function.png


--------------------------------------------------------------------------------
/images/custom-model-watson-studio.png:
--------------------------------------------------------------------------------
https://raw.githubusercontent.com/blumareks/ai-visrec-under-10min/HEAD/images/custom-model-watson-studio.png


--------------------------------------------------------------------------------
/.gitignore:
--------------------------------------------------------------------------------
 1 | # Logs
 2 | logs
 3 | *.log
 4 | npm-debug.log*
 5 | yarn-debug.log*
 6 | yarn-error.log*
 7 | 
 8 | # Runtime data
 9 | pids
10 | *.pid
11 | *.seed
12 | *.pid.lock
13 | 
14 | # Directory for instrumented libs generated by jscoverage/JSCover
15 | lib-cov
16 | 
17 | # Coverage directory used by tools like istanbul
18 | coverage
19 | 
20 | # nyc test coverage
21 | .nyc_output
22 | 
23 | # Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files)
24 | .grunt
25 | 
26 | # Bower dependency directory (https://bower.io/)
27 | bower_components
28 | 
29 | # node-waf configuration
30 | .lock-wscript
31 | 
32 | # Compiled binary addons (https://nodejs.org/api/addons.html)
33 | build/Release
34 | 
35 | # Dependency directories
36 | node_modules/
37 | jspm_packages/
38 | 
39 | # TypeScript v1 declaration files
40 | typings/
41 | 
42 | # Optional npm cache directory
43 | .npm
44 | 
45 | # Optional eslint cache
46 | .eslintcache
47 | 
48 | # Optional REPL history
49 | .node_repl_history
50 | 
51 | # Output of 'npm pack'
52 | *.tgz
53 | 
54 | # Yarn Integrity file
55 | .yarn-integrity
56 | 
57 | # dotenv environment variables file
58 | .env
59 | 
60 | # next.js build output
61 | .next
62 | 


--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
 1 | # ai visual recognition under 10min
 2 | 
 3 | let's create a custom classifier and run analysis with node.red on images.
 4 | 
 5 | 
 6 | ## steps
 7 | 1. **create custom classifier** [the drone based image classifier with John Walicki's lab](https://github.com/IBM/drones-iot-visual-recognition)
 8 | - see the short video on how the custom classifier was done in Watson Studio for [the wild fires : https://youtu.be/kW7cjuWuPS0](https://youtu.be/kW7cjuWuPS0)
 9 | 
10 | 2. **use the visual recognition in Node Red** [use the watson visual recognition service in node.red](https://github.com/watson-developer-cloud/node-red-labs/tree/master/basic_examples/visual_recognition)
11 | 
12 | 3. **add the custom classifier from step one to the above lab in step two** - tweak the lab to use our custom model - the steps are provided below:
13 | 
14 | add an additional `function` node - see the pic. 
15 | 
16 | ![added-node](images/added-node.png)
17 | 
18 | ![added-function](images/node-function.png)
19 | 
20 | Wire it together with the visual recogniton node.
21 | 
22 | add this code:
23 | 
24 | ```js
25 | msg.params={"classifier_ids":["CountBurnedHomes_some_id"],"threshold":0};
26 | return msg;
27 | ```
28 | 
29 | Please mind that you need to replace the classifier_ids' value - ie. `CountBurnedHomes_some_id` with the value from the custom classifier in Watson Studio. You can find it on the asset page. See below picture - in the shown case the classifier_ids' value is `DefaultCustomModel_1017852438` :
30 | 
31 | ![watson-studio-custom-classifier](images/custom-model-watson-studio.png)
32 | 
33 | And you should be good to test it on image like this one: https://i.dailymail.co.uk/i/newpix/2018/08/10/00/4EF8313400000578-0-image-a-11_1533857657594.jpg (this is such an unhappy picture, that please give a thought to displaced people in Nothern California, and other places affected by disasters. Do [Call for Code!](http://callforcode.org/) ).
34 | 
35 | ```
36 | And one more thing - you can test the new classifier with coreML iOS app - check this recipe: 
37 | ```
38 | https://developer.ibm.com/tutorials/watson-visual-recognition-with-core-ml-single-model/
39 | 
40 | If you like give me a star. Follow me on Twitter: [blumareks](http://twitter.com/blumareks).
41 | BTW. I have a blog. Check it out [my blog on medium](https://medium.com/@blumareks) .
42 | 


--------------------------------------------------------------------------------