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OverlayView.kt
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OverlayView.kt
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/*
* Copyright 2023 The TensorFlow Authors. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package com.google.mediapipe.examples.facedetection
import android.content.Context
import android.graphics.*
import android.util.AttributeSet
import android.view.View
import androidx.core.content.ContextCompat
import com.google.mediapipe.tasks.vision.facedetector.FaceDetectorResult
import kotlin.math.min
class OverlayView(context: Context?, attrs: AttributeSet?) :
View(context, attrs) {
private var results: FaceDetectorResult? = null
private var boxPaint = Paint()
private var textBackgroundPaint = Paint()
private var textPaint = Paint()
private var scaleFactor: Float = 1f
private var bounds = Rect()
init {
initPaints()
}
fun clear() {
results = null
textPaint.reset()
textBackgroundPaint.reset()
boxPaint.reset()
invalidate()
initPaints()
}
private fun initPaints() {
textBackgroundPaint.color = Color.BLACK
textBackgroundPaint.style = Paint.Style.FILL
textBackgroundPaint.textSize = 50f
textPaint.color = Color.WHITE
textPaint.style = Paint.Style.FILL
textPaint.textSize = 50f
boxPaint.color = ContextCompat.getColor(context!!, R.color.mp_primary)
boxPaint.strokeWidth = 8F
boxPaint.style = Paint.Style.STROKE
}
override fun draw(canvas: Canvas) {
super.draw(canvas)
results?.let {
for (detection in it.detections()) {
val boundingBox = detection.boundingBox()
val top = boundingBox.top * scaleFactor
val bottom = boundingBox.bottom * scaleFactor
val left = boundingBox.left * scaleFactor
val right = boundingBox.right * scaleFactor
// Draw bounding box around detected faces
val drawableRect = RectF(left, top, right, bottom)
canvas.drawRect(drawableRect, boxPaint)
// Create text to display alongside detected faces
val drawableText =
detection.categories()[0].categoryName() +
" " +
String.format(
"%.2f",
detection.categories()[0].score()
)
// Draw rect behind display text
textBackgroundPaint.getTextBounds(
drawableText,
0,
drawableText.length,
bounds
)
val textWidth = bounds.width()
val textHeight = bounds.height()
canvas.drawRect(
left,
top,
left + textWidth + Companion.BOUNDING_RECT_TEXT_PADDING,
top + textHeight + Companion.BOUNDING_RECT_TEXT_PADDING,
textBackgroundPaint
)
// Draw text for detected face
canvas.drawText(
drawableText,
left,
top + bounds.height(),
textPaint
)
}
}
}
fun setResults(
detectionResults: FaceDetectorResult,
imageHeight: Int,
imageWidth: Int,
) {
results = detectionResults
// Images, videos and camera live streams are displayed in FIT_START mode. So we need to scale
// up the bounding box to match with the size that the images/videos/live streams being
// displayed.
scaleFactor = min(width * 1f / imageWidth, height * 1f / imageHeight)
invalidate()
}
companion object {
private const val BOUNDING_RECT_TEXT_PADDING = 8
}
}