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Diffstat (limited to 'testing/web-platform/tests/shape-detection/detection-ImageData.https.html')
-rw-r--r-- | testing/web-platform/tests/shape-detection/detection-ImageData.https.html | 68 |
1 files changed, 68 insertions, 0 deletions
diff --git a/testing/web-platform/tests/shape-detection/detection-ImageData.https.html b/testing/web-platform/tests/shape-detection/detection-ImageData.https.html new file mode 100644 index 0000000000..330239fdf0 --- /dev/null +++ b/testing/web-platform/tests/shape-detection/detection-ImageData.https.html @@ -0,0 +1,68 @@ +<!DOCTYPE html> +<script src="/resources/testharness.js"></script> +<script src="/resources/testharnessreport.js"></script> +<script src="resources/shapedetection-helpers.js"></script> +<script> + +// These tests verify that a Detector's detect() works on an ImageBitmap. +const imageDataTests = + [ + { + createDetector: () => { return new FaceDetector(); }, + mockTestName: "FaceDetectionTest", + detectionResultTest: FaceDetectorDetectionResultTest, + name: "Face - detect(ImageData)" + }, + { + createDetector: () => { return new BarcodeDetector(); }, + mockTestName: "BarcodeDetectionTest", + detectionResultTest: BarcodeDetectorDetectionResultTest, + name: "Barcode - detect(ImageData)" + }, + { + createDetector: () => { return new TextDetector(); }, + mockTestName: "TextDetectionTest", + detectionResultTest: TextDetectorDetectionResultTest, + name: "Text - detect(ImageData)", + } + ]; + +for (let imageDataTest of imageDataTests) { + detection_test(imageDataTest.mockTestName, async (t, detectionTest) => { + const img = new Image(); + const imgWatcher = new EventWatcher(t, img, ["load", "error"]); + img.src = "/images/green-16x16.png"; + await imgWatcher.wait_for("load"); + const canvas = document.createElement("canvas"); + canvas.getContext("2d").drawImage(img, 0, 0); + + const detector = imageDataTest.createDetector(); + const detectionResult = await detector.detect(canvas.getContext("2d") + .getImageData(0, 0, canvas.width, canvas.height)); + imageDataTest.detectionResultTest(detectionResult, detectionTest); + }, imageDataTest.name); +} + +function FaceDetectorDetectionResultTest(detectionResult, mockTest) { + const imageReceivedByMock = mockTest.MockFaceDetectionProvider().getFrameData(); + assert_equals(imageReceivedByMock.byteLength, 180000,"Image length"); + const GREEN_PIXEL = 0xFF00FF00; + assert_equals(imageReceivedByMock[0], GREEN_PIXEL, "Pixel color"); + assert_equals(detectionResult.length, 3, "Number of faces"); +} + +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"); +} + +</script> |