NPM module for SAP Leonardo Machine Learning Foundation - Functional Services

"SAP Leonardo Machine Learning foundation provides readily consumable pre-trained models, as well as customizable models." ---- SAP Leonardo Machine Learning Foundation - Functional Services

I have also written a book: Machine Learning mit SAP Leonardo (in German).

Install the npm package:

npm install sap-leonardo

Sign up a free account at SAP API Business Hub and get your API key.

Use e.g. the image classification service with your API key:

const leonardo = require("sap-leonardo");

var imageclassification = new leonardo.Imageclassification("apiKey");
imageclassification.classification("./elephant-114543_640.jpg")
  .then((body) => {
    var firstResult = body.predictions[0].results[0];
    console.log("result:", firstResult.label, firstResult.score);
    // result: tusker 0.7052137851715088
  })
  .catch((err) => { console.error(err); });

More examples can be found in the examples and src/test folder.

image

• Inference Service for Customizable Image Classification
• Product Image Classification API
• Inference Service for Face Detection
• Inference Service for Human Detection
• Inference Service for Multi-Instance Image Segmentation
• Inference Service for Scene Text Recognition
• Inference Service for Optical Character Recognition (OCR)

text

• Inference Service for Language Detection
• Inference Service for Machine Translation
• Product Text Classification API
• Inference Service for Topic Detection

feature extraction

• Inference Service for Similarity Scoring
• Inference Service for Document Feature Extraction
• Inference Service for Face Feature Extraction
• Inference Service For Customizable Image Feature Extraction

npm run build

define your API Key:

export API_KEY="apiKey3x4mpleUs3y0ur0wnKey112233"

install all dependencies:

npm install

run the tests:

npm test

• NPM Module for SAP Leonardo Machine Learning

• testdata/elephant-114543_*.jpg
• testdata/ocr/english.png (Screenshot)
• testdata/ocr/deutsch.png (Screenshot)
• testdata/man-3365368_640.jpg
• testdata/juice-1271881_640.jpg
• testdata/stop-634941_640.jpg
• testdata/chucks-153310_640.png
• hiking-shoes-3074971_640.png
• converse-2069209_640.jpg
• keyboard-70506_640.jpg
• data-transfer-3199547_640.jpg
• topic_detection.zip:
  • Wikipedia apple pie
  • Wikipedia computer science
  • Wikipedio computational complexity theory

Copyright 2018-2020 Lars Gregori

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.