This workflow will detect objects in images, using the Google vision API. The workflow builds upon the results from the workflow 'CRAFTED_get-data-MINT_public:
1. read data about the image from a MongoDB and load the image
2. base65 encode the image
3. execute a request to Google Vision object detection
4. recalculate result to xywh-pixel coordinates
5. write the result in W3C annotation format to a file
6. write the result in W3C annotation format to the MongoDB
Configuration:
- set mongoDB connection to read image metadata [see workflow 'CRAFTED_get-data-MINT_public]
- set CP name and dataset ID
- set API key in Post Request node
- set mongoDB connection to write results
- set path to annotations folder
Requirements:
- MongoDB Compass (see https://www.mongodb.com/products/compass)
- a Google Vision account and API_KEY (see https://cloud.google.com/vision; https://cloud.google.com/vision/docs/object-localizer)
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
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