标签: bitmapfactory

嗨,我正在从名为的png图像创建一个位图image.png.图像的尺寸为75(宽度)×92(高度).当我运行此代码时:

Bitmap bitmap = BitmapFactory.decodeResource(this.context.getResources(),  R.drawable.image
Log.d("image", "height: " + bitmap.getHeight() + " width: " + bitmap.getWidth());

记录器日志:

DEBUG/image(3550): height: 138 width: 113

并且屏幕上的图像比尺寸为75 x 92的其他图像大.我可以做什么来让android加载具有正确尺寸的图像？

我得到一个奇怪的Out of Memory错误解码一个可绘制的图像资源960x926px jpg,分配3555856字节.图像仅放在drawable-xxhdpi(3x)中,我使用的是hdpi(1.5x)设备.两个问题:

• 为什么我在堆中有足够的可用内存时会收到错误？

• 为hdpi设备分配应该是((960/2)x(926/2))x 4 = 888960字节(不是3555856)？

有人可以解释一下吗？

注意:问题是为什么在拥有22.5MB可用内存时获得3.5MB的OOM分配(参见日志)

03-18 17:30:15.050 32750-32750 /？D/dalvikvm:GC_FOR_ALLOC释放10809K,49%免费23735K/46087K,暂停89ms,总计89ms

03-18 17:30:15.050 32750-32750 /？I/dalvikvm-heap:强制收集3555856字节分配的SoftReferences

03-18 17:30:15.160 32750-32750 /？D/dalvikvm:GC_BEFORE_OOM释放29K, 49%免费23705K/46087K,暂停103ms,总计103ms

03-18 17:30:15.160 32750-32750 /？E/dalvikvm-heap:3555856字节分配的内存不足.

03-18 17:30:15.160 32750-32750 /？I/dalvikvm:"main"prio = 5 tid = 1 RUNNABLE

03-18 17:30:15.160 32750-32750 /？我/ dalvikvm:| group ="main"sCount = 0 dsCount = 0 obj = 0x418fc6a0 self = 0x4010c008

03-18 17:30:15.160 32750-32750 /？我/ dalvikvm:| sysTid = 32750 nice = 1 sched = 0/0 cgrp = apps handle = 1075251280

03-18 …

我尝试从服务器加载远程图像,并且由于stackoverflow上的大量代码示例,我有一个解决方案,可以在3个图像中的2个中运行.我真的不知道第三张图片的问题是什么,有时候让代码在调试器中运行时图片正在加载.此外,如果我首先加载问题图片,有时不会加载其他两张图片.

这是代码:

public static Drawable getPictureFromURL(Context ctx, String url, final int REQUIRED_SIZE) throws NullPointerException {
    //Decode image size
    BitmapFactory.Options o = new BitmapFactory.Options();
    int scale = 1;
    if (o.outWidth > REQUIRED_SIZE) {
        scale = (int) Math.pow(2, (int) Math.round(Math.log(REQUIRED_SIZE / (double) Math.max(o.outHeight, o.outWidth)) / Math.log(0.5)));
    }
    Log.i(Prototype.TAG, "scale: "+scale); 

    //Decode with inSampleSize
    BitmapFactory.Options o2 = new BitmapFactory.Options();
    o2.inSampleSize = scale;
    Bitmap bmp;
    try {
        bmp = BitmapFactory.decodeStream((InputStream) Tools.fetch(url), null, o2);
        if(bmp!=null)
            return new BitmapDrawable(ctx.getResources(), bmp);
        else
            return null;
    } catch (Exception …

我正在尝试从我的Environment.getExternalStorageDirectory()加载屏幕截图并尝试将其转换为位图

 public void onPictureTaken(String path) throws IOException {

    String photoPath = filepath + "/" + path;; //UPDATE WITH YOUR OWN JPG FILE

    File directory = new File (filepath);
    File file = new File(directory, path);

    final BitmapFactory.Options options = new BitmapFactory.Options();
    options.inJustDecodeBounds = true;
    BitmapFactory.decodeFile(photoPath, options);

    // Calculate inSampleSize
    options.inSampleSize = 4;
    options.inJustDecodeBounds = false;
    BitmapFactory.decodeFile(photoPath, options);

}

--- SkImageDecoder :: Factory返回null

这是我调用onPictureTaken的函数:

 private void observeSceenshot(){
    filepath = Environment.getExternalStorageDirectory()
            + File.separator + Environment.DIRECTORY_PICTURES
            + File.separator + "Screenshots";
    Log.d(TAG, filepath);

    FileObserver fileObserver …

我在图像视图中显示一个外部图像,通过这样下载它:

bitmap = BitmapFactory.decodeStream((InputStream)new URL(url).getContent());

然后将此位图设置为ImageView:

imageView.setImageBitmap(bitmap);

除了其中一个图像是PNG并且在使用时失去透明背景,这一切都很好BitmapFactory.

谁能告诉我如何保持透明背景？

当我使用copyPixelsFromBuffer和copyPixelsToBuffer时,位图没有显示为相同的位图,我试过下面的代码:

Bitmap bm = BitmapFactory.decodeByteArray(a, 0, a.length);
int[] pixels = new int[bm.getWidth() * bm.getHeight()];
bm.getPixels(pixels, 0, bm.getWidth(), 0, 0,bm.getWidth(),bm.getHeight());

ByteBuffer buffer = ByteBuffer.allocate(bm.getRowBytes()*bm.getHeight());
bm.copyPixelsToBuffer(buffer);//I copy the pixels from Bitmap bm to the buffer

ByteBuffer buffer1 = ByteBuffer.wrap(buffer.array());
newbm = Bitmap.createBitmap(160, 160,Config.RGB_565);
newbm.copyPixelsFromBuffer(buffer1);//I read pixels from the Buffer and put the pixels     to the Bitmap newbm.

imageview1.setImageBitmap(newbm);
imageview2.setImageBitmap(bm);

为什么Bitmap bm和newbm没有显示相同的内容？

我有ViewPager用于显示可缩放的图像(使用ImageViewTouch).我需要从Internet(http)加载大型位图.我的意思是2000x1000.图像需要如此之大,因为它们是可缩放的,需要显示细节.服务器上的图像是.jpg格式,但不是问题 - 我可以更改它.

如何设置将如此大的图像加载到ImageViewTouch(ImageView)而不会获得带内存的问题？

到现在为止我只使用这个(AsyncTask):

    ImageView currentView; //ImageView where to place image loaded from Internet
    String ImageUrl; //URL of image to load

    protected Bitmap doInBackground(ArrayList... params) {

            Bitmap bitmap;
            InputStream in = null;
            imageUrl = (String)params[0].get(1);

            try{
                HttpClient httpclient = new DefaultHttpClient();
                HttpResponse response = httpclient.execute(new HttpGet(imageUrl));
                in = response.getEntity().getContent();
            } catch(Exception e){
                e.printStackTrace();
            }
            try {
                bitmapa = BitmapFactory.decodeStream(in);
                in.close();
            } catch (IOException e1) {
                e1.printStackTrace();
            }

            return bitmap;
        }


        @Override
        protected void onPostExecute(Bitmap bitmap) {

            currentView.setImageBitmap(bitmap); …

我一直试图获得一张图片,但到目前为止我还没有成功.

该打印机是本地制造的2英寸热敏打印机,打印分辨率为8点/ mm,384点/线,203 dpi.
该打印机基于具有"NXP 2388 ARM v7 Microproc."的板,其内存闪存大小为512 KB,RAM:128 KB,接收缓冲区大小为16KB.

我一直关注这个问题.

问题:我尝试打印的图像是576x95 res.

打印图像(有一些错误LED点亮并调试蜂鸣器噪音:D)但图像的方向是垂直的而不是水平打印; 也是在页面的最左侧,图像的顶部被截断

假设在这里我没有通过一些标志(同时使"数据包")与我拥有的打印机兼容.

我之前没有从事蓝牙打印,所以任何帮助都很明显:)

我现有的主要活动:

public class MainActivity extends Activity 
    {
    // will show the statuses
    TextView myLabel;
    // will enable user to enter any text to be printed
    EditText myTextbox;
    EditText devName;
    public TableLayout tl2; 
    String devid;
    String[] pName;
    String[] LODQTY;
    String[] rte;
    String[] stk;
    String[] oQty;
    String[] oVal;
    String[] fQty;

    BitSet dots;
    int mWidth;
    int mHeight;
    String mStatus;
    String TAG = …

我试图将base64编码的字符串解码为android中的位图.编码的字符串将以"image/jpeg; base64"开头

我使用以下方法:

public static Bitmap decodeBase64(String input)
{
    byte[] decodedByte = Base64.decode(input, Base64.DEFAULT); 
    // also tried using Base64.URL_SAFE , Base64.NO_PADDING

    return BitmapFactory.decodeByteArray(decodedByte, 0, decodedByte.length);
}

假设我将上述方法称为

ImageView get_img=(ImageView)fundViewByID(R.id.getImg);  
get_img.setImageBitmap(ImageCache.decodeBase64(url))

当我运行代码时,它会抛出

--- SkImageDecoder :: Factory返回null

要么

错误的base-64与IllegalArgumentException

以下是base64字符串

data:image/jpeg;base64,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

我有一台服务器,里面有几张1.5 kb到9 Mb的照片.来自PC,平板电脑和手机的照片.服务器将它们编码为Base64字符串,然后将它们发送到Android客户端.在BitmapFactory.decodeByteArray中解码时,一个300 kb的照片返回null ...但是它是有效的图像并且在在线解码器中被很好地解码.

byte[] decodedString = Base64.decode(image64, Base64.DEFAULT);
Bitmap decodedByte = BitmapFactory.decodeByteArray(decodedString, 0, ecodedString.length);

2天我找不到答案(

有任何想法吗？谢谢!

PS

 private boolean decodeImage64(String uid, String image64, String name) {
    Bitmap decodedByte;
    boolean result = false;
    if (image64 != null && !image64.isEmpty()) {

        try {
            Log.e(TAG, "decodeImage64: image64.getBytes().length = " + image64.getBytes().length);
            byte[] decodedString = Base64.decode(image64, Base64.DEFAULT);
            Log.e(TAG, "decodeImage64: decodedString = " + decodedString + "  , decodedString.length = " + decodedString.length);
            decodedByte = BitmapFactory.decodeByteArray(decodedString, 0, decodedString.length);
            Log.e(TAG, "decodeImage64: decodedByte = " …