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human
mirror of https://github.com/vladmandic/human
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update automated tests

pull/233/head
Vladimir Mandic 2021-11-07 10:10:23 -05:00
parent 8a504215a6
commit 8cccfa47d0
2 changed files with 617 additions and 581 deletions
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9
test/test-main.js
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@ -148,6 +148,7 @@ const verify = (state, ...messages) => {
};
async function verifyDetails(human) {
log('info', 'test: details verification');
const res = await testDetect(human, 'samples/in/ai-body.jpg', 'default');
verify(res.face.length === 1, 'details face length', res.face.length);
for (const face of res.face) {
@ -174,6 +175,7 @@ async function verifyDetails(human) {
}
async function verifyCompare(human) {
log('info', 'test: input compare');
const t1 = await getImage(human, 'samples/in/ai-face.jpg');
const t2 = await getImage(human, 'samples/in/ai-body.jpg');
const n1 = await human.compare(t1, t1);
@ -203,6 +205,7 @@ async function test(Human, inputConfig) {
human.events.addEventListener('detect', () => events('detect'));
// test configuration validation
log('info', 'test: configuration validation');
let invalid = human.validate();
if (invalid.length === 0) log('state', 'passed: configuration default validation', invalid);
else log('error', 'failed: configuration default validation', invalid);
@ -213,6 +216,7 @@ async function test(Human, inputConfig) {
delete config.invalid;
// test model loading
log('info', 'test: model load');
await human.load();
const models = Object.keys(human.models).map((model) => ({ name: model, loaded: (human.models[model] !== null) }));
const loaded = models.filter((model) => model.loaded);
@ -223,6 +227,7 @@ async function test(Human, inputConfig) {
config.face = { detector: { maxDetected: 20 } };
// test warmup sequences
log('info', 'test: warmup');
await testInstance(human);
config.cacheSensitivity = 0;
config.warmup = 'none';
@ -266,12 +271,14 @@ async function test(Human, inputConfig) {
else log('state', 'passed: default sync', res?.face?.length, res?.face[0].gender, res?.face[0].genderScore);
// test image processing
log('info', 'test: image process');
const img1 = await human.image(null);
const img2 = await human.image(await getImage(human, 'samples/in/ai-face.jpg'));
if (!img1 || !img2 || img1.tensor !== null || img2.tensor?.shape?.length !== 4) log('error', 'failed: image input', img1?.tensor?.shape, img2?.tensor?.shape);
else log('state', 'passed: image input', img1?.tensor?.shape, img2?.tensor?.shape);
// test null input
log('info', 'test: image null');
res = await human.detect(null);
if (!res || !res.error) log('error', 'failed: invalid input', res);
else log('state', 'passed: invalid input', res);
@ -356,6 +363,7 @@ async function test(Human, inputConfig) {
else log('state', 'passed: detector result hand match');
// test multiple instances
log('info', 'test: multi-instance');
const first = new Human(config);
const second = new Human(config);
await testDetect(human, null, 'default');
@ -379,6 +387,7 @@ async function test(Human, inputConfig) {
]);
// test monkey-patch
log('info', 'test: monkey-patch');
globalThis.Canvas = canvasJS.Canvas; // monkey-patch to use external canvas library
globalThis.ImageData = canvasJS.ImageData; // monkey-patch to use external canvas library
const inputImage = await canvasJS.loadImage('samples/in/ai-face.jpg'); // load image using canvas library

1189
test/test.log
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