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Commit 9a54b06c by vincent
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fixed examples

parent df5ac5da
Showing with 102 additions and 122 deletions
examples/examples-browser/public/js/drawing.js deleted 100644 → 0
function resizeCanvasAndResults(dimensions, canvas, results) {
const { width, height } = dimensions instanceof HTMLVideoElement
? faceapi.getMediaDimensions(dimensions)
: dimensions
canvas.width = width
canvas.height = height
// resize detections (and landmarks) in case displayed image is smaller than
// original size
return faceapi.resizeResults(results, { width, height })
}
function drawDetections(dimensions, canvas, detections) {
const resizedDetections = resizeCanvasAndResults(dimensions, canvas, detections)
faceapi.drawDetection(canvas, resizedDetections)
}
function drawLandmarks(dimensions, canvas, results, withBoxes = true) {
const resizedResults = resizeCanvasAndResults(dimensions, canvas, results)
if (withBoxes) {
faceapi.drawDetection(canvas, resizedResults.map(det => det.detection))
}
const faceLandmarks = resizedResults.map(det => det.landmarks)
const drawLandmarksOptions = {
lineWidth: 2,
drawLines: true,
color: 'green'
}
faceapi.drawLandmarks(canvas, faceLandmarks, drawLandmarksOptions)
}
function drawExpressions(dimensions, canvas, results, thresh, withBoxes = true) {
const resizedResults = resizeCanvasAndResults(dimensions, canvas, results)
if (withBoxes) {
faceapi.drawDetection(canvas, resizedResults.map(det => det.detection), { withScore: false })
}
faceapi.drawFaceExpressions(canvas, resizedResults.map(({ detection, expressions }) => ({ position: detection.box, expressions })))
}
\ No newline at end of file
examples/examples-browser/views/batchFaceLandmarks.html
...@@ -65,7 +65,7 @@ ...@@ -65,7 +65,7 @@
function drawLandmarkCanvas(img, landmarks) { function drawLandmarkCanvas(img, landmarks) {
const canvas = faceapi.createCanvasFromMedia(img) const canvas = faceapi.createCanvasFromMedia(img)
$('#faceContainer').append(canvas) $('#faceContainer').append(canvas)
faceapi.drawLandmarks(canvas, landmarks, { lineWidth: 2 , drawLines: true }) new faceapi.draw.DrawFaceLandmarks(landmarks).draw(canvas)
} }
async function runLandmarkDetection(useBatchInput) { async function runLandmarkDetection(useBatchInput) {
......
examples/examples-browser/views/batchFaceRecognition.html
...@@ -68,13 +68,10 @@ ...@@ -68,13 +68,10 @@
$('#faceContainer').append(canvas) $('#faceContainer').append(canvas)
const x = 20, y = canvas.height - 20 const x = 20, y = canvas.height - 20
faceapi.drawText( const ctx = faceapi.getContext2dOrThrow(canvas)
canvas.getContext('2d'), ctx.font = '16px Georgia'
x, ctx.fillStyle = 'red'
y, ctx.fillText(faceMatcher.findBestMatch(descriptor).toString(), x, y)
faceMatcher.findBestMatch(descriptor).toString(),
Object.assign(faceapi.getDefaultDrawOptions(), { color: 'red', fontSize: 16 })
)
} }
async function runComputeFaceDescriptors(useBatchInput) { async function runComputeFaceDescriptors(useBatchInput) {
......
examples/examples-browser/views/bbtFaceLandmarkDetection.html
...@@ -43,12 +43,12 @@ ...@@ -43,12 +43,12 @@
const canvas = faceapi.createCanvasFromMedia(currentImg) const canvas = faceapi.createCanvasFromMedia(currentImg)
$('#faceContainer').empty() $('#faceContainer').empty()
$('#faceContainer').append(canvas) $('#faceContainer').append(canvas)
faceapi.drawLandmarks(canvas, landmarks, { lineWidth: drawLines ? 2 : 4, drawLines }) new faceapi.draw.DrawFaceLandmarks(landmarks, { drawLines }).draw(canvas)
} }
async function onSelectionChanged(uri) { async function onSelectionChanged(uri) {
currentImg = await faceapi.fetchImage(uri) currentImg = await faceapi.fetchImage(uri)
landmarks = await faceapi.detectLandmarks(currentImg) landmarks = await faceapi.detectFaceLandmarks(currentImg)
redraw() redraw()
} }
......
examples/examples-browser/views/bbtFaceRecognition.html
...@@ -3,7 +3,6 @@ ...@@ -3,7 +3,6 @@
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="js/commons.js"></script> <script src="js/commons.js"></script>
<script src="js/drawing.js"></script>
<script src="js/faceDetectionControls.js"></script> <script src="js/faceDetectionControls.js"></script>
<script src="js/imageSelectionControls.js"></script> <script src="js/imageSelectionControls.js"></script>
<script src="js/bbt.js"></script> <script src="js/bbt.js"></script>
...@@ -159,17 +158,19 @@ ...@@ -159,17 +158,19 @@
function drawFaceRecognitionResults(results) { function drawFaceRecognitionResults(results) {
const canvas = $('#overlay').get(0) const canvas = $('#overlay').get(0)
const inputImgEl = $('#inputImg').get(0)
faceapi.matchDimensions(canvas, inputImgEl)
// resize detection and landmarks in case displayed image is smaller than // resize detection and landmarks in case displayed image is smaller than
// original size // original size
resizedResults = resizeCanvasAndResults($('#inputImg').get(0), canvas, results) const resizedResults = faceapi.resizeResults(results, inputImgEl)
const boxesWithText = resizedResults.map(({ detection, descriptor }) => resizedResults.forEach(({ detection, descriptor }) => {
new faceapi.BoxWithText( const label = faceMatcher.findBestMatch(descriptor).toString()
detection.box, const options = { label }
faceMatcher.findBestMatch(descriptor).toString() const drawBox = new faceapi.draw.DrawBox(detection.box, options)
) drawBox.draw(canvas)
) })
faceapi.drawDetection(canvas, boxesWithText)
} }
async function run() { async function run() {
......
examples/examples-browser/views/faceDetection.html
...@@ -3,7 +3,6 @@ ...@@ -3,7 +3,6 @@
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="js/commons.js"></script> <script src="js/commons.js"></script>
<script src="js/drawing.js"></script>
<script src="js/faceDetectionControls.js"></script> <script src="js/faceDetectionControls.js"></script>
<script src="js/imageSelectionControls.js"></script> <script src="js/imageSelectionControls.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
...@@ -148,7 +147,9 @@ ...@@ -148,7 +147,9 @@
const results = await faceapi.detectAllFaces(inputImgEl, options) const results = await faceapi.detectAllFaces(inputImgEl, options)
drawDetections(inputImgEl, $('#overlay').get(0), results) const canvas = $('#overlay').get(0)
faceapi.matchDimensions(canvas, inputImgEl)
faceapi.draw.drawDetections(canvas, faceapi.resizeResults(results, inputImgEl))
} }
async function run() { async function run() {
......
examples/examples-browser/views/faceExpressionRecognition.html
...@@ -3,7 +3,6 @@ ...@@ -3,7 +3,6 @@
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="js/commons.js"></script> <script src="js/commons.js"></script>
<script src="js/drawing.js"></script>
<script src="js/faceDetectionControls.js"></script> <script src="js/faceDetectionControls.js"></script>
<script src="js/imageSelectionControls.js"></script> <script src="js/imageSelectionControls.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
...@@ -150,7 +149,14 @@ ...@@ -150,7 +149,14 @@
const options = getFaceDetectorOptions() const options = getFaceDetectorOptions()
const results = await faceapi.detectAllFaces(inputImgEl, options).withFaceExpressions() const results = await faceapi.detectAllFaces(inputImgEl, options).withFaceExpressions()
drawExpressions(inputImgEl, $('#overlay').get(0), results, thresh, true)
const canvas = $('#overlay').get(0)
faceapi.matchDimensions(canvas, inputImgEl)
const resizedResults = faceapi.resizeResults(results, inputImgEl)
const minConfidence = 0.05
faceapi.draw.drawDetections(canvas, resizedResults)
faceapi.draw.drawFaceExpressions(canvas, resizedResults, minConfidence)
} }
async function run() { async function run() {
......
examples/examples-browser/views/faceExtraction.html
...@@ -150,9 +150,7 @@ ...@@ -150,9 +150,7 @@
function displayExtractedFaces(faceImages) { function displayExtractedFaces(faceImages) {
const canvas = $('#overlay').get(0) const canvas = $('#overlay').get(0)
const { width, height } = $('#inputImg').get(0) faceapi.matchDimensions(canvas, $('#inputImg').get(0))
canvas.width = width
canvas.height = height
$('#facesContainer').empty() $('#facesContainer').empty()
faceImages.forEach(canvas => $('#facesContainer').append(canvas)) faceImages.forEach(canvas => $('#facesContainer').append(canvas))
......
examples/examples-browser/views/faceLandmarkDetection.html
...@@ -3,7 +3,6 @@ ...@@ -3,7 +3,6 @@
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="js/commons.js"></script> <script src="js/commons.js"></script>
<script src="js/drawing.js"></script>
<script src="js/faceDetectionControls.js"></script> <script src="js/faceDetectionControls.js"></script>
<script src="js/imageSelectionControls.js"></script> <script src="js/imageSelectionControls.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
...@@ -162,7 +161,14 @@ ...@@ -162,7 +161,14 @@
const results = await faceapi.detectAllFaces(inputImgEl, options).withFaceLandmarks() const results = await faceapi.detectAllFaces(inputImgEl, options).withFaceLandmarks()
drawLandmarks(inputImgEl, $('#overlay').get(0), results, withBoxes) const canvas = $('#overlay').get(0)
faceapi.matchDimensions(canvas, inputImgEl)
const resizedResults = faceapi.resizeResults(results, inputImgEl)
if (withBoxes) {
faceapi.draw.drawDetections(canvas, resizedResults)
}
faceapi.draw.drawFaceLandmarks(canvas, resizedResults)
} }
async function run() { async function run() {
......
examples/examples-browser/views/faceRecognition.html
...@@ -3,7 +3,6 @@ ...@@ -3,7 +3,6 @@
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="js/commons.js"></script> <script src="js/commons.js"></script>
<script src="js/drawing.js"></script>
<script src="js/faceDetectionControls.js"></script> <script src="js/faceDetectionControls.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
...@@ -205,11 +204,11 @@ ...@@ -205,11 +204,11 @@
} }
async function updateReferenceImageResults() { async function updateReferenceImageResults() {
const imgEl = $('#refImg').get(0) const inputImgEl = $('#refImg').get(0)
const canvas = $('#refImgOverlay').get(0) const canvas = $('#refImgOverlay').get(0)
const fullFaceDescriptions = await faceapi const fullFaceDescriptions = await faceapi
.detectAllFaces(imgEl, getFaceDetectorOptions()) .detectAllFaces(inputImgEl, getFaceDetectorOptions())
.withFaceLandmarks() .withFaceLandmarks()
.withFaceDescriptors() .withFaceDescriptors()
...@@ -221,16 +220,19 @@ ...@@ -221,16 +220,19 @@
// from the detection results for the reference image // from the detection results for the reference image
faceMatcher = new faceapi.FaceMatcher(fullFaceDescriptions) faceMatcher = new faceapi.FaceMatcher(fullFaceDescriptions)
faceapi.matchDimensions(canvas, inputImgEl)
// resize detection and landmarks in case displayed image is smaller than // resize detection and landmarks in case displayed image is smaller than
// original size // original size
resizedResults = resizeCanvasAndResults(imgEl, canvas, fullFaceDescriptions) const resizedResults = faceapi.resizeResults(fullFaceDescriptions, inputImgEl)
// draw boxes with the corresponding label as text // draw boxes with the corresponding label as text
const labels = faceMatcher.labeledDescriptors const labels = faceMatcher.labeledDescriptors
.map(ld => ld.label) .map(ld => ld.label)
const boxesWithText = resizedResults resizedResults.forEach(({ detection, descriptor }) => {
.map(res => res.detection.box) const label = faceMatcher.findBestMatch(descriptor).toString()
.map((box, i) => new faceapi.BoxWithText(box, labels[i])) const options = { label }
faceapi.drawDetection(canvas, boxesWithText) const drawBox = new faceapi.draw.DrawBox(detection.box, options)
drawBox.draw(canvas)
})
} }
async function updateQueryImageResults() { async function updateQueryImageResults() {
...@@ -238,27 +240,25 @@ ...@@ -238,27 +240,25 @@
return return
} }
const imgEl = $('#queryImg').get(0) const inputImgEl = $('#queryImg').get(0)
const canvas = $('#queryImgOverlay').get(0) const canvas = $('#queryImgOverlay').get(0)
const results = await faceapi const results = await faceapi
.detectAllFaces(imgEl, getFaceDetectorOptions()) .detectAllFaces(inputImgEl, getFaceDetectorOptions())
.withFaceLandmarks() .withFaceLandmarks()
.withFaceDescriptors() .withFaceDescriptors()
faceapi.matchDimensions(canvas, inputImgEl)
// resize detection and landmarks in case displayed image is smaller than // resize detection and landmarks in case displayed image is smaller than
// original size // original size
resizedResults = resizeCanvasAndResults(imgEl, canvas, results) const resizedResults = faceapi.resizeResults(results, inputImgEl)
// draw boxes with the corresponding label as text
const boxesWithText = resizedResults.map(({ detection, descriptor }) => resizedResults.forEach(({ detection, descriptor }) => {
new faceapi.BoxWithText( const label = faceMatcher.findBestMatch(descriptor).toString()
detection.box, const options = { label }
// match each face descriptor to the reference descriptor const drawBox = new faceapi.draw.DrawBox(detection.box, options)
// with lowest euclidean distance and display the result as text drawBox.draw(canvas)
faceMatcher.findBestMatch(descriptor).toString() })
)
)
faceapi.drawDetection(canvas, boxesWithText)
} }
async function updateResults() { async function updateResults() {
......
examples/examples-browser/views/videoFaceTracking.html
...@@ -3,7 +3,6 @@ ...@@ -3,7 +3,6 @@
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="js/commons.js"></script> <script src="js/commons.js"></script>
<script src="js/drawing.js"></script>
<script src="js/faceDetectionControls.js"></script> <script src="js/faceDetectionControls.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
...@@ -169,18 +168,25 @@ ...@@ -169,18 +168,25 @@
const ts = Date.now() const ts = Date.now()
const faceDetectionTask = faceapi.detectAllFaces(videoEl, options) const drawBoxes = withBoxes
const results = withFaceLandmarks const drawLandmarks = withFaceLandmarks
? await faceDetectionTask.withFaceLandmarks()
: await faceDetectionTask let task = faceapi.detectAllFaces(videoEl, options)
task = withFaceLandmarks ? task.withFaceLandmarks() : task
const results = await task
updateTimeStats(Date.now() - ts) updateTimeStats(Date.now() - ts)
const drawFunction = withFaceLandmarks const canvas = $('#overlay').get(0)
? drawLandmarks const dims = faceapi.matchDimensions(canvas, videoEl, true)
: drawDetections
drawFunction(videoEl, $('#overlay').get(0), results, withBoxes) const resizedResults = faceapi.resizeResults(results, dims)
if (drawBoxes) {
faceapi.draw.drawDetections(canvas, resizedResults)
}
if (drawLandmarks) {
faceapi.draw.drawFaceLandmarks(canvas, resizedResults)
}
setTimeout(() => onPlay(videoEl)) setTimeout(() => onPlay(videoEl))
} }
......
examples/examples-browser/views/webcamFaceDetection.html
...@@ -3,7 +3,6 @@ ...@@ -3,7 +3,6 @@
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="js/commons.js"></script> <script src="js/commons.js"></script>
<script src="js/drawing.js"></script>
<script src="js/faceDetectionControls.js"></script> <script src="js/faceDetectionControls.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
...@@ -159,7 +158,9 @@ ...@@ -159,7 +158,9 @@
updateTimeStats(Date.now() - ts) updateTimeStats(Date.now() - ts)
if (result) { if (result) {
drawDetections(videoEl, $('#overlay').get(0), [result]) const canvas = $('#overlay').get(0)
faceapi.matchDimensions(canvas, videoEl)
faceapi.draw.drawDetections(canvas, faceapi.resizeResults(results, videoEl))
} }
setTimeout(() => onPlay()) setTimeout(() => onPlay())
......
examples/examples-browser/views/webcamFaceExpressionRecognition.html
...@@ -3,7 +3,6 @@ ...@@ -3,7 +3,6 @@
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="js/commons.js"></script> <script src="js/commons.js"></script>
<script src="js/drawing.js"></script>
<script src="js/faceDetectionControls.js"></script> <script src="js/faceDetectionControls.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
...@@ -171,7 +170,15 @@ ...@@ -171,7 +170,15 @@
updateTimeStats(Date.now() - ts) updateTimeStats(Date.now() - ts)
if (result) { if (result) {
drawExpressions(videoEl, $('#overlay').get(0), [result], withBoxes) const canvas = $('#overlay').get(0)
faceapi.matchDimensions(canvas, videoEl, true)
const resizedResult = faceapi.resizeResults(result, videoEl)
const minConfidence = 0.05
if (withBoxes) {
faceapi.draw.drawDetections(canvas, resizedResults)
}
faceapi.draw.drawFaceExpressions(canvas, resizedResults, minConfidence)
} }
setTimeout(() => onPlay()) setTimeout(() => onPlay())
......
examples/examples-browser/views/webcamFaceLandmarkDetection.html
...@@ -3,7 +3,6 @@ ...@@ -3,7 +3,6 @@
<head> <head>
<script src="face-api.js"></script> <script src="face-api.js"></script>
<script src="js/commons.js"></script> <script src="js/commons.js"></script>
<script src="js/drawing.js"></script>
<script src="js/faceDetectionControls.js"></script> <script src="js/faceDetectionControls.js"></script>
<link rel="stylesheet" href="styles.css"> <link rel="stylesheet" href="styles.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css"> <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/materialize/0.100.2/css/materialize.css">
......
examples/examples-nodejs/faceDetection.ts
...@@ -10,7 +10,7 @@ async function run() { ...@@ -10,7 +10,7 @@ async function run() {
const detections = await faceapi.detectAllFaces(img, faceDetectionOptions) const detections = await faceapi.detectAllFaces(img, faceDetectionOptions)
const out = faceapi.createCanvasFromMedia(img) as any const out = faceapi.createCanvasFromMedia(img) as any
faceapi.drawDetection(out, detections) faceapi.draw.drawDetections(out, detections)
saveFile('faceDetection.jpg', out.toBuffer('image/jpeg')) saveFile('faceDetection.jpg', out.toBuffer('image/jpeg'))
console.log('done, saved results to out/faceDetection.jpg') console.log('done, saved results to out/faceDetection.jpg')
......
examples/examples-nodejs/faceExpressionRecognition.ts
...@@ -12,8 +12,8 @@ async function run() { ...@@ -12,8 +12,8 @@ async function run() {
.withFaceExpressions() .withFaceExpressions()
const out = faceapi.createCanvasFromMedia(img) as any const out = faceapi.createCanvasFromMedia(img) as any
faceapi.drawDetection(out, results.map(res => res.detection), { withScore: false }) faceapi.draw.drawDetections(out, results.map(res => res.detection))
faceapi.drawFaceExpressions(out, results.map(({ detection, expressions }) => ({ position: detection.box, expressions }))) faceapi.draw.drawFaceExpressions(out, results)
saveFile('faceExpressionRecognition.jpg', out.toBuffer('image/jpeg')) saveFile('faceExpressionRecognition.jpg', out.toBuffer('image/jpeg'))
console.log('done, saved results to out/faceExpressionRecognition.jpg') console.log('done, saved results to out/faceExpressionRecognition.jpg')
......
examples/examples-nodejs/faceLandmarkDetection.ts
...@@ -12,8 +12,8 @@ async function run() { ...@@ -12,8 +12,8 @@ async function run() {
.withFaceLandmarks() .withFaceLandmarks()
const out = faceapi.createCanvasFromMedia(img) as any const out = faceapi.createCanvasFromMedia(img) as any
faceapi.drawDetection(out, results.map(res => res.detection)) faceapi.draw.drawDetections(out, results.map(res => res.detection))
faceapi.drawLandmarks(out, results.map(res => res.landmarks), { drawLines: true, color: 'red' }) faceapi.draw.drawFaceLandmarks(out, results.map(res => res.landmarks))
saveFile('faceLandmarkDetection.jpg', out.toBuffer('image/jpeg')) saveFile('faceLandmarkDetection.jpg', out.toBuffer('image/jpeg'))
console.log('done, saved results to out/faceLandmarkDetection.jpg') console.log('done, saved results to out/faceLandmarkDetection.jpg')
......
examples/examples-nodejs/faceRecognition.ts
...@@ -26,20 +26,21 @@ async function run() { ...@@ -26,20 +26,21 @@ async function run() {
const labels = faceMatcher.labeledDescriptors const labels = faceMatcher.labeledDescriptors
.map(ld => ld.label) .map(ld => ld.label)
const refBoxesWithText = resultsRef const refDrawBoxes = resultsRef
.map(res => res.detection.box) .map(res => res.detection.box)
.map((box, i) => new faceapi.BoxWithText(box, labels[i])) .map((box, i) => new faceapi.draw.DrawBox(box, { label: labels[i] }))
const outRef = faceapi.createCanvasFromMedia(referenceImage) as any const outRef = faceapi.createCanvasFromMedia(referenceImage)
faceapi.drawDetection(outRef, refBoxesWithText) refDrawBoxes.forEach(drawBox => drawBox.draw(outRef))
saveFile('referenceImage.jpg', outRef.toBuffer('image/jpeg'))
const queryBoxesWithText = resultsQuery.map(res => { saveFile('referenceImage.jpg', (outRef as any).toBuffer('image/jpeg'))
const queryDrawBoxes = resultsQuery.map(res => {
const bestMatch = faceMatcher.findBestMatch(res.descriptor) const bestMatch = faceMatcher.findBestMatch(res.descriptor)
return new faceapi.BoxWithText(res.detection.box, bestMatch.toString()) return new faceapi.draw.DrawBox(res.detection.box, { label: bestMatch.toString() })
}) })
const outQuery = faceapi.createCanvasFromMedia(queryImage) as any const outQuery = faceapi.createCanvasFromMedia(queryImage)
faceapi.drawDetection(outQuery, queryBoxesWithText) queryDrawBoxes.forEach(drawBox => drawBox.draw(outQuery))
saveFile('queryImage.jpg', outQuery.toBuffer('image/jpeg')) saveFile('queryImage.jpg', (outQuery as any).toBuffer('image/jpeg'))
console.log('done, saved results to out/queryImage.jpg') console.log('done, saved results to out/queryImage.jpg')
} }
......
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