/* * 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() }