Call for Code Challenge 2019
Pleaase create a custom model on Watson Visual Recognition using Watson Studio.
If you don't use Watson Studio, I recomend that you get IBM Cloud Lite Account. And you can try custom model useing following contents. https://www.ibm.com/support/knowledgecenter/DSXDOC/analyze-data/visual-recognition-create-model.html
In this project, we created a custom image model using images that assumes gram stain bacteria image.
This Frontend app is pwa. development and test used Nginx on IBM Cloud IaaS Virtual Server.
ex https://yourserver.com
Deploy the contents of the "frontend directory" on "/usr/share/nginx/html".
This Backend uses Node-RED.You need to be able to access Node-RED from Nginx using a reverse proxy.
ex https://yourserver.com/red
Please add the following nodes to Node-RED.
You have Node-RED ready and Please import "flows_web_form_image_recognition_stable.json" to Node-RED from backend directory.
| node name | display name | operation |
|---|---|---|
| function node | Select Custom Model ID | replace with your custom model ID |
| visual recognition node | visual recognition | set your Watson Visual Recognition API Key and Endpoint URL |
| cloudantplus out node | log_recog_image | connect your IBM Cloudnat instance |
| http request node | http request | Set your Slack Incoming webhook URL |
If you want to download recognition data as a CSV file, Please import "notebook_datalistview.ipynb" to Jupyter Notebook. You can use Jupyter Notebook on Watson Studio.