sap-leonardo - npm Package Compare versions

Comparing version 0.5.4 to 0.5.5

CHANGELOG.md

@@ -5,2 +5,6 @@ # CHANGELOG
 
+## 0.5.5
+- Inference Service for Customizable Object Detection
+- adjust timeout for ocr test
+
 ## 0.5.4
@@ -7,0 +11,0 @@ - typo in Inference Service for Topic Detection

dist/index.d.ts

@@ -16,1 +16,2 @@ export * from "./imageclassification";
 export * from "./topic_detection";
+export * from "./object_detection";

dist/index.js

@@ -21,1 +21,2 @@ "use strict";
 __export(require("./topic_detection"));
+__export(require("./object_detection"));

dist/test/test_object_detection.js

@@ -7,64 +7,14 @@ "use strict";
 const fileName = "juice-1271881_640.jpg";
-describe("multi-instance image segmentation", () => {
+describe("object detection", () => {
     const objectDetection = new index_1.ObjectDetection(process.env.API_KEY);
-    describe("four items", () => {
-        it("should predict three bottles and a can", (done) => {
+    describe("juice", () => {
+        it("should predict something, but causes an internal error", (done) => {
             objectDetection.objectDetection("./testdata/" + fileName).then((body) => {
-                console.log(JSON.stringify(body, null, "  "));
-                chai_1.expect(body).to.have.property("id");
-                chai_1.expect(body).to.have.property("predictions").which.is.an("array").with.length(1);
-                chai_1.expect(body).to.have.property("processedTime");
-                chai_1.expect(body).to.have.property("status").to.be.equal("DONE");
-                // expect(body.predictions[0]).to.have.property("imageName").which.is.equal(fileName);
-                // expect(body.predictions[0]).to.have.property("results").is.an("array").with.length(4);
-                // for (let i = 0; i < expectedResults.length; i++) {
-                //   expect(body.predictions[0].results[i].bbox).to.be.eql(expectedResults[i].bbox);
-                //   expect(body.predictions[0].results[i].classId).to.be.equal(expectedResults[i].classId);
-                //   expect(body.predictions[0].results[i].className).to.be.equal(expectedResults[i].className);
-                //   expect(body.predictions[0].results[i].score).to.be.equal(expectedResults[i].score);
-                //   // encoded mask data should have the size of bbox width * height
-                //   const encodedMaskData = Buffer.from(body.predictions[0].results[i].mask, "base64");
-                //   const bbox = body.predictions[0].results[i].bbox;
-                //   const bboxWidth = Math.abs(bbox.x2 - bbox.x1);
-                //   const bboxHeight = Math.abs(bbox.y2 - bbox.y1);
-                //   expect(encodedMaskData.length).to.be.equal(bboxWidth * bboxHeight);
-                // }
+                chai_1.expect(body).to.have.property("fault");
+                chai_1.expect(body.fault).to.have.property("detail");
+                chai_1.expect(body.fault.detail).to.have.property("errorcode");
+                chai_1.expect(body.fault.detail.errorcode).to.be.equal("messaging.adaptors.http.flow.ApplicationNotFound");
             }).then(done, done);
         }).timeout(60000);
     });
-    describe("multi-instance image segmentation image:jpg", () => {
-        describe("return image", () => {
-            it("should return a png image", (done) => {
-                objectDetection.objectDetection("./testdata/" + fileName, true).then((body) => {
-                    console.log(JSON.stringify(body, null, "  "));
-                    chai_1.expect(body).to.have.property("id");
-                    chai_1.expect(body).to.have.property("predictions").is.an("array").with.length(1);
-                    chai_1.expect(body).to.have.property("processedTime");
-                    chai_1.expect(body).to.have.property("status").to.be.equal("DONE");
-                    // expect(body.predictions[0]).to.have.property("imageName").is.equal(fileName);
-                    // // fs.writeFileSync(
-                    // //   "MultiInstanceImageSegmentation.png",
-                    // //   Buffer.from(body.predictions[0].imageString, "base64"));
-                    // const encodedImageData = Buffer.from(body.predictions[0].imageString, "base64");
-                    // const isJPG =
-                    //   encodedImageData[0] === 0xFF &&
-                    //   encodedImageData[1] === 0xD8 &&
-                    //   encodedImageData[2] === 0xFF;
-                    // const isPNG =
-                    //   encodedImageData[0] === 0x89 &&
-                    //   encodedImageData[1] === 0x50 &&
-                    //   encodedImageData[2] === 0x4E &&
-                    //   encodedImageData[3] === 0x47 &&
-                    //   encodedImageData[4] === 0x0D &&
-                    //   encodedImageData[5] === 0x0A &&
-                    //   encodedImageData[6] === 0x1A &&
-                    //   encodedImageData[7] === 0x0A;
-                    // // tslint:disable-next-line:no-unused-expression
-                    // expect(isJPG).is.false;
-                    // // tslint:disable-next-line:no-unused-expression
-                    // expect(isPNG).is.true;
-                }).then(done, done);
-            }).timeout(60000);
-        });
-    });
     describe("error coverage", () => {
@@ -71,0 +21,0 @@ it("should return a file not found error", (done) => {

dist/test/test_ocr.js

@@ -7,2 +7,3 @@ "use strict";
     const ocr = new index_1.OCR(process.env.API_KEY);
+    const timeout = 40000;
     describe("image to text", () => {
@@ -20,3 +21,3 @@ it("should return an English text", (done) => {
             }).then(done, done);
-        }).timeout(30000);
+        }).timeout(timeout);
     });
@@ -34,3 +35,3 @@ describe("image to text with options", () => {
             }).then(done, done);
-        }).timeout(30000);
+        }).timeout(timeout);
         it("should return a German text", (done) => {
@@ -46,3 +47,3 @@ const options = { lang: "de", outputType: "txt", pageSegMode: "1", modelType: "lstmStandard" };
             }).then(done, done);
-        }).timeout(30000);
+        }).timeout(timeout);
     });
@@ -49,0 +50,0 @@ describe("image to text (via job)", () => {

package.json

 {
   "name": "sap-leonardo",
-  "version": "0.5.4",
+  "version": "0.5.5",
   "description": "NPM module for SAP Leonardo Machine Learning Foundation - Functional Services https://api.sap.com/package/SAPLeonardoMLFunctionalServices",
@@ -5,0 +5,0 @@ "main": "dist/index.js",

README.md

@@ -44,3 +44,3 @@ # SAP Leonardo Machine Learning Foundation - Functional Services
 
-Following services (with a link) are implemented:
+### Following services are implemented:
 
@@ -54,23 +54,18 @@ - [Inference Service For Customizable Image Feature Extraction](https://api.sap.com/api/img_feature_extraction_api/resource)
 - [Inference Service for Machine Translation](https://api.sap.com/api/translation_api/resource)
-
-- ~~Training Service for Customizable Object Detection~~
-
 - [Inference Service for Similarity Scoring](https://api.sap.com/api/similarity_scoring_api/resource)
 - [Inference Service for Customizable Image Classification](https://api.sap.com/api/image_classification_api/resource)
-
-- ~~decommissioned: Time Series Changepoint Detection API~~
+- ~~Time Series Changepoint Detection API~~ (decommissioned)
 - [Product Image Classification API](https://api.sap.com/api/product_image_classification_api/resource)
-- ~~Training Service for Customizable Similarity Search~~
-- ~~Inference Service for Customizable Similarity Search~~
 - [Inference Service for Topic Detection](https://api.sap.com/api/topic_detection_api/resource)
-
 - [Inference Service for Human Detection](https://api.sap.com/api/human_detection_api/resource)
 - [Inference Service for Face Detection](https://api.sap.com/api/face_detection_api/resource)
 - [Inference Service for Language Detection](https://api.sap.com/api/language_detection_api/resource)
+- [Inference Service for Customizable Object Detection](https://api.sap.com/api/object_detection_api/resource) (not implemented)
+- [Inference Service for Optical Character Recognition (OCR)](https://api.sap.com/api/ocr_api/resource)
 
+### Following services require a training instance (not implemented)
+- ~~Training Service for Customizable Object Detection~~
+- ~~Training Service for Customizable Similarity Search~~
+- ~~Inference Service for Customizable Similarity Search~~
 - ~~Training Service for Customizable Text Classification~~
-- [Inference Service for Customizable Object Detection](https://api.sap.com/api/object_detection_api/resource) (not implemted)
-
-- [Inference Service for Optical Character Recognition (OCR)](https://api.sap.com/api/ocr_api/resource)
-
 - ~~Inference Service for Customizable Text Classification~~
@@ -109,3 +104,3 @@ - ~~Training Service For Customizable Image Classification and Feature Extraction~~
 
-## Image Sources
+## Testdata Sources
 
@@ -122,2 +117,6 @@ - [testdata/elephant-114543_*.jpg](https://pixabay.com/en/elephant-african-bush-elephant-114543/)
 - [keyboard-70506_640.jpg](https://pixabay.com/en/keyboard-computer-hardware-keys-70506/)
+- topic_detection.zip:
+  - https://en.wikipedia.org/wiki/Apple_pie
+  - https://en.wikipedia.org/wiki/Computer_science
+  - https://en.wikipedia.org/wiki/Computational_complexity_theory
 
@@ -124,0 +123,0 @@

No alert changes

Worsened metrics

Total package byte prevSize

292901

decreased by-0.98%

Lines of code

7554

decreased by-0.62%

Number of lines in readme file

129

decreased by-0.77%

No dependency changes