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<!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 Detected{Face, Barcode, Text} can be passed to
// postMessage().
const postMessageTests =
[
{
createDetector: () => { return new FaceDetector(); },
mockTestName: "FaceDetectionTest",
detectionResultTest: FaceDetectorDetectionResultTest,
name: "Face - DetectedFace can be passed to postMessage()"
},
{
createDetector: () => { return new BarcodeDetector(); },
mockTestName: "BarcodeDetectionTest",
detectionResultTest: BarcodeDetectorDetectionResultTest,
name: "Barcode - DetectedBarcode can be passed to postMessage()"
},
{
createDetector: () => { return new TextDetector(); },
mockTestName: "TextDetectionTest",
detectionResultTest: TextDetectorDetectionResultTest,
name: "Text - DetectedText can be passed to postMessage()",
},
];
for (let postMessageTest of postMessageTests) {
detection_test(postMessageTest.mockTestName, async t => {
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 = postMessageTest.createDetector();
const detectionResult = await detector.detect(canvas.getContext("2d")
.getImageData(0, 0, canvas.width, canvas.height));
const msgWatcher = new EventWatcher(t, window, ['message']);
window.postMessage(detectionResult);
const evt = await msgWatcher.wait_for('message');
postMessageTest.detectionResultTest(evt.data)
}, postMessageTest.name);
}
function FaceDetectorDetectionResultTest(detectionResult) {
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) {
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) {
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>
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