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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 09:22:09 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-07 09:22:09 +0000 |
commit | 43a97878ce14b72f0981164f87f2e35e14151312 (patch) | |
tree | 620249daf56c0258faa40cbdcf9cfba06de2a846 /testing/web-platform/tests/shape-detection/detection-HTMLImageElement.https.html | |
parent | Initial commit. (diff) | |
download | firefox-43a97878ce14b72f0981164f87f2e35e14151312.tar.xz firefox-43a97878ce14b72f0981164f87f2e35e14151312.zip |
Adding upstream version 110.0.1.upstream/110.0.1upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'testing/web-platform/tests/shape-detection/detection-HTMLImageElement.https.html')
-rw-r--r-- | testing/web-platform/tests/shape-detection/detection-HTMLImageElement.https.html | 86 |
1 files changed, 86 insertions, 0 deletions
diff --git a/testing/web-platform/tests/shape-detection/detection-HTMLImageElement.https.html b/testing/web-platform/tests/shape-detection/detection-HTMLImageElement.https.html new file mode 100644 index 0000000000..f3b994c258 --- /dev/null +++ b/testing/web-platform/tests/shape-detection/detection-HTMLImageElement.https.html @@ -0,0 +1,86 @@ +<!DOCTYPE html> +<script src="/resources/testharness.js"></script> +<script src="/resources/testharnessreport.js"></script> +<script src="resources/shapedetection-helpers.js"></script> +<body> +<img id="img" src="/images/green-16x16.png"/> +</body> +<script> + +// These tests verify that a Detector's detect() works on an HTMLImageElement. +const imageElementTests = + [ + { + createDetector: () => { return new FaceDetector(); }, + mockTestName: "FaceDetectionTest", + detectionResultTest: FaceDetectorDetectionResultTest, + name: "Face - detect(HTMLImageElement)" + }, + { + createDetector: () => { return new BarcodeDetector(); }, + mockTestName: "BarcodeDetectionTest", + detectionResultTest: BarcodeDetectorDetectionResultTest, + name: "Barcode - detect(HTMLImageElement)", + }, + { + createDetector: () => { return new TextDetector(); }, + mockTestName: "TextDetectionTest", + detectionResultTest: TextDetectorDetectionResultTest, + name: "Text - detect(HTMLImageElement)" + } + ]; + +for (let imageElementTest of imageElementTests) { + detection_test(imageElementTest.mockTestName, async (t, detectionTest) => { + const img = document.getElementById("img"); + + const detector = imageElementTest.createDetector(); + const detectionResult = await detector.detect(img); + imageElementTest.detectionResultTest(detectionResult, detectionTest); + }, imageElementTest.name); +} + +function FaceDetectorDetectionResultTest(detectionResult, mockTest) { + const imageReceivedByMock = + mockTest.MockFaceDetectionProvider().getFrameData(); + assert_equals(imageReceivedByMock.byteLength, 1024, "Image length"); + const GREEN_PIXEL = 0xFF00FF00; + assert_equals(imageReceivedByMock[0], GREEN_PIXEL, "Pixel color"); + assert_equals(detectionResult.length, 3, "Number of faces"); + assert_equals(detectionResult[0].landmarks.length, 2, "Number of landmarks"); + assert_object_equals(detectionResult[0].landmarks[0], + {type : 'eye', locations : [{x : 4.0, y : 5.0}]}, + "landmark #1"); + assert_equals(detectionResult[0].landmarks[1].locations.length, 8, + "Number of locations along eye"); + assert_object_equals(detectionResult[1].landmarks[0], + {type : 'nose', locations : [{x : 100.0, y : 50.0}]}, + "landmark #2"); + assert_equals(detectionResult[1].landmarks[1].locations.length, 9, + "Number of locations along nose"); +} + +function BarcodeDetectorDetectionResultTest(detectionResult, mockTest) { + assert_equals(detectionResult.length, 2, "Number of barcodes"); + assert_equals(detectionResult[0].rawValue, "cats", "barcode 1"); + assert_equals(detectionResult[0].format, "qr_code", "barcode 1 format"); + assert_equals(detectionResult[1].rawValue, "dogs", "barcode 2"); + assert_equals(detectionResult[1].format, "code_128", "barcode 2 format"); +} + +function TextDetectorDetectionResultTest(detectionResult, mockTest) { + assert_equals(detectionResult.length, 2, "Number of textBlocks"); + assert_equals(detectionResult[0].rawValue, "cats", "textBlock 1"); + assert_equals(detectionResult[1].rawValue, "dogs", "textBlock 2"); + for (let i = 0; i < detectionResult.length; i++) { + assert_equals(detectionResult[i].boundingBox.x, detectionResult[i].cornerPoints[0].x); + assert_equals(detectionResult[i].boundingBox.y, detectionResult[i].cornerPoints[0].y); + assert_equals(detectionResult[i].boundingBox.width, + detectionResult[i].cornerPoints[2].x - detectionResult[i].cornerPoints[3].x); + assert_equals(detectionResult[i].boundingBox.height, + detectionResult[i].cornerPoints[2].y - detectionResult[i].cornerPoints[1].y); + } + +} + +</script> |