tor-browser

The Tor Browser
git clone https://git.dasho.dev/tor-browser.git
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detected-postMessage.https.html (3934B)


      1 <!DOCTYPE html>
      2 <script src="/resources/testharness.js"></script>
      3 <script src="/resources/testharnessreport.js"></script>
      4 <script src="resources/shapedetection-helpers.js"></script>
      5 <script>
      6 
      7 // These tests verify that Detected{Face, Barcode, Text} can be passed to
      8 // postMessage().
      9 const postMessageTests =
     10    [
     11      {
     12        createDetector: () => { return new FaceDetector(); },
     13        mockTestName: "FaceDetectionTest",
     14        detectionResultTest: FaceDetectorDetectionResultTest,
     15        name: "Face - DetectedFace can be passed to postMessage()"
     16      },
     17      {
     18        createDetector: () => { return new BarcodeDetector(); },
     19        mockTestName: "BarcodeDetectionTest",
     20        detectionResultTest: BarcodeDetectorDetectionResultTest,
     21        name: "Barcode - DetectedBarcode can be passed to postMessage()"
     22      },
     23      {
     24        createDetector: () => { return new TextDetector(); },
     25        mockTestName: "TextDetectionTest",
     26        detectionResultTest: TextDetectorDetectionResultTest,
     27        name: "Text - DetectedText can be passed to postMessage()",
     28      },
     29    ];
     30 
     31 for (let postMessageTest of postMessageTests) {
     32  detection_test(postMessageTest.mockTestName, async t => {
     33    const img = new Image();
     34    const imgWatcher = new EventWatcher(t, img, ["load", "error"]);
     35    img.src = "/images/green-16x16.png";
     36    await imgWatcher.wait_for("load");
     37 
     38    const canvas = document.createElement("canvas");
     39    canvas.getContext("2d").drawImage(img, 0, 0);
     40 
     41    const detector = postMessageTest.createDetector();
     42    const detectionResult = await detector.detect(canvas.getContext("2d")
     43        .getImageData(0, 0, canvas.width, canvas.height));
     44 
     45    const msgWatcher = new EventWatcher(t, window, ['message']);
     46    window.postMessage(detectionResult);
     47    const evt = await msgWatcher.wait_for('message');
     48    postMessageTest.detectionResultTest(evt.data)
     49  }, postMessageTest.name);
     50 }
     51 
     52 function FaceDetectorDetectionResultTest(detectionResult) {
     53  assert_equals(detectionResult.length, 3, "Number of faces");
     54  assert_equals(detectionResult[0].landmarks.length, 2, "Number of landmarks");
     55  assert_object_equals(detectionResult[0].landmarks[0],
     56                      {type : 'eye', locations : [{x : 4.0, y : 5.0}]},
     57                      "landmark #1");
     58  assert_equals(detectionResult[0].landmarks[1].locations.length, 8,
     59                "Number of locations along eye");
     60  assert_object_equals(detectionResult[1].landmarks[0],
     61                      {type : 'nose', locations : [{x : 100.0, y : 50.0}]},
     62                      "landmark #2");
     63  assert_equals(detectionResult[1].landmarks[1].locations.length, 9,
     64                "Number of locations along nose");
     65 }
     66 
     67 function BarcodeDetectorDetectionResultTest(detectionResult) {
     68  assert_equals(detectionResult.length, 2, "Number of barcodes");
     69  assert_equals(detectionResult[0].rawValue, "cats", "barcode 1");
     70  assert_equals(detectionResult[0].format, "qr_code", "barcode 1 format");
     71  assert_equals(detectionResult[1].rawValue, "dogs", "barcode 2");
     72  assert_equals(detectionResult[1].format, "code_128", "barcode 2 format");
     73 }
     74 
     75 function TextDetectorDetectionResultTest(detectionResult) {
     76  assert_equals(detectionResult.length, 2, "Number of textBlocks");
     77  assert_equals(detectionResult[0].rawValue, "cats", "textBlock 1");
     78  assert_equals(detectionResult[1].rawValue, "dogs", "textBlock 2");
     79  for (let i = 0; i < detectionResult.length; i++) {
     80    assert_equals(detectionResult[i].boundingBox.x, detectionResult[i].cornerPoints[0].x);
     81    assert_equals(detectionResult[i].boundingBox.y, detectionResult[i].cornerPoints[0].y);
     82    assert_equals(detectionResult[i].boundingBox.width,
     83                  detectionResult[i].cornerPoints[2].x - detectionResult[i].cornerPoints[3].x);
     84    assert_equals(detectionResult[i].boundingBox.height,
     85                  detectionResult[i].cornerPoints[2].y - detectionResult[i].cornerPoints[1].y);
     86  }
     87 
     88 }
     89 
     90 </script>