Rename
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@file:Suppress("unused")
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package io.legato.kazusa.utils
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import android.content.Context
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import android.graphics.Bitmap
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import android.graphics.Bitmap.Config
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import android.graphics.BitmapFactory
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import android.graphics.Color
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import com.google.android.renderscript.Toolkit
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import java.io.*
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import kotlin.math.*
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@Suppress("WeakerAccess", "MemberVisibilityCanBePrivate")
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object BitmapUtils {
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/**
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* 从path中获取图片信息,在通过BitmapFactory.decodeFile(String path)方法将突破转成Bitmap时，
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* 遇到大一些的图片，我们经常会遇到OOM(Out Of Memory)的问题。所以用到了我们上面提到的BitmapFactory.Options这个类。
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*
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* @param path 文件路径
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* @param width 想要显示的图片的宽度
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* @param height 想要显示的图片的高度
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* @return
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*/
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@Throws(IOException::class)
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fun decodeBitmap(path: String, width: Int, height: Int? = null): Bitmap? {
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val fis = FileInputStream(path)
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return fis.use {
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val op = BitmapFactory.Options()
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// inJustDecodeBounds如果设置为true,仅仅返回图片实际的宽和高,宽和高是赋值给opts.outWidth,opts.outHeight;
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op.inJustDecodeBounds = true
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BitmapFactory.decodeFileDescriptor(fis.fd, null, op)
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op.inSampleSize = calculateInSampleSize(op, width, height)
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op.inJustDecodeBounds = false
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BitmapFactory.decodeFileDescriptor(fis.fd, null, op)
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}
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}
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/**
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*计算 InSampleSize。缺省返回1
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* @param options BitmapFactory.Options,
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* @param width 想要显示的图片的宽度
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* @param height 想要显示的图片的高度
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* @return
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*/
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private fun calculateInSampleSize(
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options: BitmapFactory.Options,
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width: Int? = null,
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height: Int? = null
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): Int {
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//获取比例大小
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val wRatio = width?.let { options.outWidth / it } ?: -1
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val hRatio = height?.let { options.outHeight / it } ?: -1
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//如果超出指定大小，则缩小相应的比例
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return when {
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wRatio > 1 && hRatio > 1 -> max(wRatio, hRatio)
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wRatio > 1 -> wRatio
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hRatio > 1 -> hRatio
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else -> 1
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}
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}
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/** 从path中获取Bitmap图片
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* @param path 图片路径
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* @return
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*/
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@Throws(IOException::class)
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fun decodeBitmap(path: String): Bitmap? {
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val fis = FileInputStream(path)
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return fis.use {
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val opts = BitmapFactory.Options()
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opts.inJustDecodeBounds = true
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BitmapFactory.decodeFileDescriptor(fis.fd, null, opts)
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opts.inSampleSize = computeSampleSize(opts, -1, 128 * 128)
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opts.inJustDecodeBounds = false
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BitmapFactory.decodeFileDescriptor(fis.fd, null, opts)
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}
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}
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/**
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* 以最省内存的方式读取本地资源的图片
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* @param context 设备上下文
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* @param resId 资源ID
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* @return
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*/
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fun decodeBitmap(context: Context, resId: Int): Bitmap? {
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val opt = BitmapFactory.Options()
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opt.inPreferredConfig = Config.RGB_565
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return BitmapFactory.decodeResource(context.resources, resId, opt)
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}
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/**
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* @param context 设备上下文
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* @param resId 资源ID
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* @param width
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* @param height
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* @return
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*/
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fun decodeBitmap(context: Context, resId: Int, width: Int, height: Int): Bitmap? {
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val op = BitmapFactory.Options()
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// inJustDecodeBounds如果设置为true,仅仅返回图片实际的宽和高,宽和高是赋值给opts.outWidth,opts.outHeight;
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op.inJustDecodeBounds = true
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BitmapFactory.decodeResource(context.resources, resId, op) //获取尺寸信息
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op.inSampleSize = calculateInSampleSize(op, width, height)
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op.inJustDecodeBounds = false
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return BitmapFactory.decodeResource(context.resources, resId, op)
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}
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/**
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* @param context 设备上下文
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* @param fileNameInAssets Assets里面文件的名称
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* @param width 图片的宽度
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* @param height 图片的高度
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* @return Bitmap
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* @throws IOException
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*/
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@Throws(IOException::class)
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fun decodeAssetsBitmap(
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context: Context,
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fileNameInAssets: String,
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width: Int,
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height: Int
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): Bitmap? {
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var inputStream = context.assets.open(fileNameInAssets)
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return inputStream.use {
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val op = BitmapFactory.Options()
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// inJustDecodeBounds如果设置为true,仅仅返回图片实际的宽和高,宽和高是赋值给opts.outWidth,opts.outHeight;
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op.inJustDecodeBounds = true
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BitmapFactory.decodeStream(inputStream, null, op) //获取尺寸信息
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op.inSampleSize = calculateInSampleSize(op, width, height)
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inputStream = context.assets.open(fileNameInAssets)
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op.inJustDecodeBounds = false
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BitmapFactory.decodeStream(inputStream, null, op)
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}
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}
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/**
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* @param options
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* @param minSideLength
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* @param maxNumOfPixels
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* @return
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* 设置恰当的inSampleSize是解决该问题的关键之一。BitmapFactory.Options提供了另一个成员inJustDecodeBounds。
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* 设置inJustDecodeBounds为true后，decodeFile并不分配空间，但可计算出原始图片的长度和宽度，即opts.width和opts.height。
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* 有了这两个参数，再通过一定的算法，即可得到一个恰当的inSampleSize。
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* 查看Android源码，Android提供了下面这种动态计算的方法。
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*/
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fun computeSampleSize(
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options: BitmapFactory.Options,
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minSideLength: Int,
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maxNumOfPixels: Int
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): Int {
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val initialSize = computeInitialSampleSize(options, minSideLength, maxNumOfPixels)
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var roundedSize: Int
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if (initialSize <= 8) {
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roundedSize = 1
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while (roundedSize < initialSize) {
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roundedSize = roundedSize shl 1
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}
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} else {
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roundedSize = (initialSize + 7) / 8 * 8
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}
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return roundedSize
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}
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private fun computeInitialSampleSize(
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options: BitmapFactory.Options,
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minSideLength: Int,
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maxNumOfPixels: Int
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): Int {
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val w = options.outWidth.toDouble()
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val h = options.outHeight.toDouble()
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val lowerBound = when (maxNumOfPixels) {
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-1 -> 1
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else -> ceil(sqrt(w * h / maxNumOfPixels)).toInt()
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}
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val upperBound = when (minSideLength) {
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-1 -> 128
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else -> min(
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floor(w / minSideLength),
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floor(h / minSideLength)
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).toInt()
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}
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if (upperBound < lowerBound) {
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// return the larger one when there is no overlapping zone.
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return lowerBound
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}
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return when {
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maxNumOfPixels == -1 && minSideLength == -1 -> {
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1
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}
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minSideLength == -1 -> {
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lowerBound
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}
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else -> {
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upperBound
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}
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}
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}
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/**
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* 将Bitmap转换成InputStream
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*
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* @param bitmap
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* @return
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*/
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fun toInputStream(bitmap: Bitmap): InputStream {
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val bos = ByteArrayOutputStream()
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bitmap.compress(Bitmap.CompressFormat.JPEG, 90 /*ignored for PNG*/, bos)
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return ByteArrayInputStream(bos.toByteArray()).also { bos.close() }
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}
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}
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/**
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* 获取指定宽高的图片
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*/
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fun Bitmap.resizeAndRecycle(newWidth: Int, newHeight: Int): Bitmap {
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//获取新的bitmap
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val bitmap = Toolkit.resize(this, newWidth, newHeight)
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recycle()
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return bitmap
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}
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/**
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* 高斯模糊
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*/
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fun Bitmap.stackBlur(radius: Int = 8): Bitmap {
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return Toolkit.blur(this, radius)
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}
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/**
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* 取平均色
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*/
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fun Bitmap.getMeanColor(): Int {
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val width: Int = this.width
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val height: Int = this.height
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var pixel: Int
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var pixelSumRed = 0
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var pixelSumBlue = 0
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var pixelSumGreen = 0
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for (i in 0..99) {
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for (j in 70..99) {
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pixel = this.getPixel(
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(i * width / 100.toFloat()).roundToInt(),
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(j * height / 100.toFloat()).roundToInt()
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)
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pixelSumRed += Color.red(pixel)
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pixelSumGreen += Color.green(pixel)
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pixelSumBlue += Color.blue(pixel)
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}
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}
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val averagePixelRed = pixelSumRed / 3000
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val averagePixelBlue = pixelSumBlue / 3000
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val averagePixelGreen = pixelSumGreen / 3000
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return Color.rgb(
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averagePixelRed + 3,
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averagePixelGreen + 3,
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averagePixelBlue + 3
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)
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}
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