fune/testing/web-platform/tests/shape-detection/single-face-detection.https.html
Myles C. Maxfield 71ab6d417e Bug 1829584 [wpt PR 39659] - [Shape Detection] Add end-to-end tests for the shape detection API, a=testonly
Automatic update from web-platform-tests
[Shape Detection] Add end-to-end tests for the shape detection API (#39659)

There are already some shape detection WPT tests, but they:
1. Mock the actual browser behavior
2. Only work in Chrome if you run it with a flag
3. Don't actually work if you actually try to run them, even in Chrome:
       https://wpt.live/shape-detection/detection-HTMLImageElement.https.html
       reports a harness error "Can't create duplicate variable"

Web platform tests are, in general, end-to-end tests, and usually don't mock
out the browser functionality. (See the WebGL & WebGPU tests for examples: they
don't mock out the use of the GPU). So it's a good idea to have end-to-end
tests.

The images the tests use for detection are designed to be:
1. Clear enough so that any reasonable implementation of the API should be
       able to detect successfully in them
2. Fuzzy enough so that it's okay if the detection is off by some pixels here
       and some pixels there
--

wpt-commits: b5a2b1e1b0bd51817dca49b49eb3e8825833b216
wpt-pr: 39659
2023-05-21 22:42:45 +00:00

223 lines
10 KiB
HTML

<!DOCTYPE html>
<script src="/resources/testharness.js"></script>
<script src="/resources/testharnessreport.js"></script>
<script src="resources/single-detection-helpers.js"></script>
<body>
</body>
<script>
const imageTests = {
center: {
name: "face-center.jpg",
face: {boundingBox: {left: 312, right: 512, top: 238, bottom: 438}, fuzziness: 25},
mouth: {position: {x: 414, y: 379}, fuzzinessX: 30, fuzzinessY: 20},
leftEye: {position: {x: 378, y: 293}, fuzzinessX: 20, fuzzinessY: 10},
rightEye: {position: {x: 448, y: 292}, fuzzinessX: 20, fuzzinessY: 10},
nose: {position: {x: 412, y: 335}, fuzzinessX: 20, fuzzinessY: 35}},
bottomLeft: {
name: "face-bottom-left.jpg",
face: {boundingBox: {left: 96, right: 387, top: 281, bottom: 572}, fuzziness: 15},
mouth: {position: {x: 248, y: 483}, fuzzinessX: 45, fuzzinessY: 25},
leftEye: {position: {x: 196, y: 359}, fuzzinessX: 25, fuzzinessY: 10},
rightEye: {position: {x: 296, y: 357}, fuzzinessX: 25, fuzzinessY: 10},
nose: {position: {x: 244, y: 419}, fuzzinessX: 30, fuzzinessY: 50}},
bottomRight: {
name: "face-bottom-right.jpg",
face: {boundingBox: {left: 445, right: 733, top: 284, bottom: 572}, fuzziness: 10},
mouth: {position: {x: 593, y: 487}, fuzzinessX: 45, fuzzinessY: 25},
leftEye: {position: {x: 542, y: 363}, fuzzinessX: 25, fuzzinessY: 10},
rightEye: {position: {x: 641, y: 361}, fuzzinessX: 25, fuzzinessY: 10},
nose: {position: {x: 590, y: 423}, fuzzinessX: 30, fuzzinessY: 50}},
topLeft: {
name: "face-top-left.jpg",
face: {boundingBox: {left: 101, right: 387, top: 119, bottom: 405}, fuzziness: 10},
mouth: {position: {x: 246, y: 322}, fuzzinessX: 45, fuzzinessY: 25},
leftEye: {position: {x: 194, y: 198}, fuzzinessX: 25, fuzzinessY: 10},
rightEye: {position: {x: 295, y: 196}, fuzzinessX: 25, fuzzinessY: 10},
nose: {position: {x: 243, y: 258}, fuzzinessX: 30, fuzzinessY: 50}},
topRight: {
name: "face-top-right.jpg",
face: {boundingBox: {left: 451, right: 735, top: 124, bottom: 408}, fuzziness: 10},
mouth: {position: {x: 594, y: 326}, fuzzinessX: 45, fuzzinessY: 25},
leftEye: {position: {x: 542, y: 202}, fuzzinessX: 25, fuzzinessY: 10},
rightEye: {position: {x: 642, y: 200}, fuzzinessX: 25, fuzzinessY: 10},
nose: {position: {x: 591, y: 261}, fuzzinessX: 30, fuzzinessY: 50}}};
const videoTests = {
"faces.mov": [
{time: 0.5, test: imageTests.center},
{time: 1.5, test: imageTests.bottomLeft},
{time: 2.5, test: imageTests.bottomRight},
{time: 3.5, test: imageTests.topLeft},
{time: 4.5, test: imageTests.topRight}]};
// All the fields in FaceDetectorOptions are hints, so they can't be tested.
const faceDetector = new FaceDetector();
async function testImage(imageBitmapSource, test) {
const detectedFaces = await faceDetector.detect(imageBitmapSource);
assert_equals(detectedFaces.length, 1);
const detectedFace = detectedFaces[0];
checkBoundingBox(detectedFace.boundingBox, test.face.boundingBox, test.face.fuzziness);
if (detectedFace.landmarks) {
var mouthCount = 0;
var eyeCount = 0;
var noseCount = 0;
for (landmark of detectedFace.landmarks) {
checkPointsLieWithinBoundingBox(landmark.locations, detectedFace.boundingBox);
switch (landmark.type) {
case "mouth":
checkPointsAreNear(landmark.locations, test.mouth.position, test.mouth.fuzzinessX, test.mouth.fuzzinessY);
++mouthCount;
break;
case "eye":
// handled below
++eyeCount;
break;
case "nose":
checkPointsAreNear(landmark.locations, test.nose.position, test.nose.fuzzinessX, test.nose.fuzzinessY);
++noseCount;
break;
default:
assert(false);
}
}
assert_less_than_equal(mouthCount, 1);
assert_true(eyeCount == 0 || eyeCount == 2, "There should be 2 eyes (or the implementation doesn't support detecting eyes)");
assert_less_than_equal(noseCount, 1);
const [leftEye, rightEye] = detectedFace.landmarks.filter(landmark => landmark.type == "eye").toSorted(function(landmarkA, landmarkB) {
// The left eye has a smaller X coordinate than the right eye.
const locationsA = landmarkA.locations.map(location => location.x);
const locationsB = landmarkB.locations.map(location => location.x);
const locationA = locationsA.reduce((a, b) => a + b) / locationsA.length;
const locationB = locationsB.reduce((a, b) => a + b) / locationsB.length;
return locationA - locationB;
});
checkPointsAreNear(leftEye.locations, test.leftEye.position, test.leftEye.fuzzinessX, test.leftEye.fuzzinessY);
checkPointsAreNear(rightEye.locations, test.rightEye.position, test.rightEye.fuzzinessX, test.rightEye.fuzzinessY);
}
}
promise_test(async t => {
for (const [key, imageTest] of Object.entries(imageTests)) {
const imageElement = document.createElement("img");
imageElement.src = `resources/${imageTest.name}`;
await imageLoadedPromise(imageElement);
assert_true(imageElement.complete, "Image element should have loaded successfully");
await testImage(imageElement, imageTest);
}
}, "HTMLImageElement");
// Intentionally don't test SVGImageElement. The spec https://html.spec.whatwg.org/multipage/canvas.html#canvasimagesource says it's supposed to be
// a CanvasImageSource, but neither WebKit nor Blink actually seem to implement that.
promise_test(async t => {
for (const [name, tests] of Object.entries(videoTests)) {
const videoElement = document.createElement("video");
document.body.appendChild(videoElement);
videoElement.src = `resources/${name}`;
const loadedPromise = videoLoadedPromise(videoElement);
videoElement.load();
await loadedPromise;
for (const test of tests) {
await seekTo(videoElement, test.time);
await testImage(videoElement, test.test);
}
document.body.removeChild(videoElement);
}
}, "HTMLVideoElement");
promise_test(async t => {
for (const [key, imageTest] of Object.entries(imageTests)) {
const imageElement = document.createElement("img");
imageElement.src = `resources/${imageTest.name}`;
await imageLoadedPromise(imageElement);
assert_true(imageElement.complete, "Image element should have loaded successfully");
const canvasElement = document.createElement("canvas");
canvasElement.width = imageElement.width;
canvasElement.height = imageElement.height;
const context = canvasElement.getContext("2d");
context.drawImage(imageElement, 0, 0);
await testImage(canvasElement, imageTest);
}
}, "HTMLCanvasElement");
promise_test(async t => {
for (const [key, imageTest] of Object.entries(imageTests)) {
const imageElement = document.createElement("img");
imageElement.src = `resources/${imageTest.name}`;
await imageLoadedPromise(imageElement);
assert_true(imageElement.complete, "Image element should have loaded successfully");
const imageBitmap = await createImageBitmap(imageElement);
await testImage(imageBitmap, imageTest);
}
}, "ImageBitmap");
promise_test(async t => {
for (const [key, imageTest] of Object.entries(imageTests)) {
const imageElement = document.createElement("img");
imageElement.src = `resources/${imageTest.name}`;
await imageLoadedPromise(imageElement);
assert_true(imageElement.complete, "Image element should have loaded successfully");
const offscreenCanvas = new OffscreenCanvas(imageElement.width, imageElement.height);
const context = offscreenCanvas.getContext("2d");
context.drawImage(imageElement, 0, 0);
await testImage(offscreenCanvas, imageTest);
}
}, "OffscreenCanvas");
promise_test(async t => {
for (const [name, tests] of Object.entries(videoTests)) {
const videoElement = document.createElement("video");
document.body.appendChild(videoElement);
videoElement.src = `resources/${name}`;
const loadedPromise = videoLoadedPromise(videoElement);
videoElement.load();
await loadedPromise;
for (const test of tests) {
await seekTo(videoElement, test.time);
const videoFrame = new VideoFrame(videoElement);
await testImage(videoFrame, test.test);
videoFrame.close();
}
document.body.removeChild(videoElement);
}
}, "VideoFrame");
promise_test(async t => {
for (const [key, imageTest] of Object.entries(imageTests)) {
const imageElement = document.createElement("img");
imageElement.src = `resources/${imageTest.name}`;
await imageLoadedPromise(imageElement);
assert_true(imageElement.complete, "Image element should have loaded successfully");
const canvasElement = document.createElement("canvas");
canvasElement.width = imageElement.width;
canvasElement.height = imageElement.height;
const context = canvasElement.getContext("2d");
context.drawImage(imageElement, 0, 0);
const blob = await new Promise(function(resolve, reject) {
canvasElement.toBlob(function(blob) {
return resolve(blob);
});
});
await testImage(blob, imageTest);
}
}, "Blob");
promise_test(async t => {
for (const [key, imageTest] of Object.entries(imageTests)) {
const imageElement = document.createElement("img");
imageElement.src = `resources/${imageTest.name}`;
await imageLoadedPromise(imageElement);
assert_true(imageElement.complete, "Image element should have loaded successfully");
const canvasElement = document.createElement("canvas");
canvasElement.width = imageElement.width;
canvasElement.height = imageElement.height;
const context = canvasElement.getContext("2d");
context.drawImage(imageElement, 0, 0);
const imageData = context.getImageData(0, 0, canvasElement.width, canvasElement.height);
await testImage(imageData, imageTest);
}
}, "ImageData");
</script>