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/*
* Copyright (C) 2021 The Android Open Source Project
*
* 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.example.testapp
import android.renderscript.toolkit.Range2d
/**
* Reference implementation of a Convolve operation.
*/
@ExperimentalUnsignedTypes
fun referenceConvolve(
inputArray: ByteArray,
vectorSize: Int,
sizeX: Int,
sizeY: Int,
coefficients: FloatArray,
restriction: Range2d?
): ByteArray {
val input = Vector2dArray(inputArray.asUByteArray(), vectorSize, sizeX, sizeY)
val radius = when (coefficients.size) {
9 -> 1
25 -> 2
else -> {
throw IllegalArgumentException("RenderScriptToolkit Convolve. Only 3x3 and 5x5 convolutions are supported. ${coefficients.size} coefficients provided.")
}
}
input.clipReadToRange = true
val output = input.createSameSized()
input.forEach(restriction) { x, y ->
output[x, y] = convolveOne(input, x, y, coefficients, radius)
}
return output.values.asByteArray()
}
@ExperimentalUnsignedTypes
private fun convolveOne(
inputAlloc: Vector2dArray,
x: Int,
y: Int,
coefficients: FloatArray,
radius: Int
): UByteArray {
var sum = FloatArray(paddedSize(inputAlloc.vectorSize))
var coefficientIndex = 0
for (deltaY in -radius..radius) {
for (deltaX in -radius..radius) {
val inputVector = inputAlloc[x + deltaX, y + deltaY]
sum += inputVector.toFloatArray() * coefficients[coefficientIndex]
coefficientIndex++
}
}
return sum.clampToUByte()
}
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