通过使用滑动库，你可以得到图像与精确的方向，而不需要检查旋转

在kotlin

CoroutineScope(Dispatchers.IO).launch {
         var bitmap = Glide.with(context).asBitmap().load(imagePathOrUriOrLink)
                /*.apply(
                    RequestOptions()
                        .override(MAXIMUM_IMAGE_RESOLUTION)
                )*/ //uncomment it if you want original image
                /*.diskCacheStrategy(DiskCacheStrategy.NONE).skipMemoryCache(true)*/ //uncomment it you want to not cache image
                .submit().get()//this is synchronous approach  
}

使用这个依赖

api 'com.github.bumptech.glide:glide:4.12.0'
kapt 'com.github.bumptech.glide:compiler:4.12.0'

通过使用滑动库，你可以得到图像与精确的方向，而不需要检查旋转

在kotlin

CoroutineScope(Dispatchers.IO).launch {
         var bitmap = Glide.with(context).asBitmap().load(imagePathOrUriOrLink)
                /*.apply(
                    RequestOptions()
                        .override(MAXIMUM_IMAGE_RESOLUTION)
                )*/ //uncomment it if you want original image
                /*.diskCacheStrategy(DiskCacheStrategy.NONE).skipMemoryCache(true)*/ //uncomment it you want to not cache image
                .submit().get()//this is synchronous approach  
}

使用这个依赖

api 'com.github.bumptech.glide:glide:4.12.0'
kapt 'com.github.bumptech.glide:compiler:4.12.0'

很容易检测图像方向和替换位图使用:

 /**
 * Rotate an image if required.
 * @param img
 * @param selectedImage
 * @return
 */
private static Bitmap rotateImageIfRequired(Context context,Bitmap img, Uri selectedImage) {

    // Detect rotation
    int rotation = getRotation(context, selectedImage);
    if (rotation != 0) {
        Matrix matrix = new Matrix();
        matrix.postRotate(rotation);
        Bitmap rotatedImg = Bitmap.createBitmap(img, 0, 0, img.getWidth(), img.getHeight(), matrix, true);
        img.recycle();
        return rotatedImg;
    }
    else{
        return img;
    }
}

/**
 * Get the rotation of the last image added.
 * @param context
 * @param selectedImage
 * @return
 */
private static int getRotation(Context context,Uri selectedImage) {

    int rotation = 0;
    ContentResolver content = context.getContentResolver();

    Cursor mediaCursor = content.query(MediaStore.Images.Media.EXTERNAL_CONTENT_URI,
                                       new String[] { "orientation", "date_added" },
                                       null, null, "date_added desc");

    if (mediaCursor != null && mediaCursor.getCount() != 0) {
        while(mediaCursor.moveToNext()){
            rotation = mediaCursor.getInt(0);
            break;
        }
    }
    mediaCursor.close();
    return rotation;
}

为了避免大图像的内存不足，我建议您使用以下方法重新缩放图像:

private static final int MAX_HEIGHT = 1024;
private static final int MAX_WIDTH = 1024;
public static Bitmap decodeSampledBitmap(Context context, Uri selectedImage)
    throws IOException {

    // First decode with inJustDecodeBounds=true to check dimensions
    final BitmapFactory.Options options = new BitmapFactory.Options();
    options.inJustDecodeBounds = true;
    InputStream imageStream = context.getContentResolver().openInputStream(selectedImage);
    BitmapFactory.decodeStream(imageStream, null, options);
    imageStream.close();

    // Calculate inSampleSize
    options.inSampleSize = calculateInSampleSize(options, MAX_WIDTH, MAX_HEIGHT);

    // Decode bitmap with inSampleSize set
    options.inJustDecodeBounds = false;
    imageStream = context.getContentResolver().openInputStream(selectedImage);
    Bitmap img = BitmapFactory.decodeStream(imageStream, null, options);

    img = rotateImageIfRequired(img, selectedImage);
    return img;
}

由于Android操作系统的问题，不能使用ExifInterface来获取方向: https://code.google.com/p/android/issues/detail?id=19268

这里是calculateInSampleSize

/**
 * Calculate an inSampleSize for use in a {@link BitmapFactory.Options} object when decoding
 * bitmaps using the decode* methods from {@link BitmapFactory}. This implementation calculates
 * the closest inSampleSize that will result in the final decoded bitmap having a width and
 * height equal to or larger than the requested width and height. This implementation does not
 * ensure a power of 2 is returned for inSampleSize which can be faster when decoding but
 * results in a larger bitmap which isn't as useful for caching purposes.
 *
 * @param options   An options object with out* params already populated (run through a decode*
 *                  method with inJustDecodeBounds==true
 * @param reqWidth  The requested width of the resulting bitmap
 * @param reqHeight The requested height of the resulting bitmap
 * @return The value to be used for inSampleSize
 */
public static int calculateInSampleSize(BitmapFactory.Options options,
                                        int reqWidth, int reqHeight) {

    // Raw height and width of image
    final int height = options.outHeight;
    final int width = options.outWidth;
    int inSampleSize = 1;

    if (height > reqHeight || width > reqWidth) {

        // Calculate ratios of height and width to requested height and width
        final int heightRatio = Math.round((float) height / (float) reqHeight);
        final int widthRatio = Math.round((float) width / (float) reqWidth);

        // Choose the smallest ratio as inSampleSize value, this will guarantee a final image
        // with both dimensions larger than or equal to the requested height and width.
        inSampleSize = heightRatio < widthRatio ? heightRatio : widthRatio;

        // This offers some additional logic in case the image has a strange
        // aspect ratio. For example, a panorama may have a much larger
        // width than height. In these cases the total pixels might still
        // end up being too large to fit comfortably in memory, so we should
        // be more aggressive with sample down the image (=larger inSampleSize).

        final float totalPixels = width * height;

        // Anything more than 2x the requested pixels we'll sample down further
        final float totalReqPixelsCap = reqWidth * reqHeight * 2;

        while (totalPixels / (inSampleSize * inSampleSize) > totalReqPixelsCap) {
            inSampleSize++;
        }
    }
    return inSampleSize;
}

首先，你应该知道，自Android 7.0以来，我们必须使用FileProvider和ContentUri，否则你会得到一个烦人的错误，试图调用你的意图。这是示例代码:

Intent intent = new Intent(MediaStore.ACTION_IMAGE_CAPTURE);
intent.putExtra(MediaStore.EXTRA_OUTPUT, getUriFromPath(context, "[Your path to save image]"));
startActivityForResult(intent, CAPTURE_IMAGE_RESULT);

方法getUriFromPath(Context, String)基于用户版本的Android创建FileUri (file://…)或ContentUri (content://…)

public Uri getUriFromPath(Context context, String destination) {
    File file =  new File(destination);

    if (android.os.Build.VERSION.SDK_INT >= android.os.Build.VERSION_CODES.N) {
        return FileProvider.getUriForFile(context, context.getPackageName() + ".provider", file);
    } else {
        return Uri.fromFile(file);
    }
}

onActivityResult后，你可以捕捉图像被相机保存的uri，但现在你必须检测相机旋转，这里我们将使用修改后的@Jason Robinson回答:

首先，我们需要基于Uri创建ExifInterface

@Nullable
public ExifInterface getExifInterface(Context context, Uri uri) {
    try {
        String path = uri.toString();
        if (path.startsWith("file://")) {
            return new ExifInterface(path);
        }
        if (android.os.Build.VERSION.SDK_INT >= Build.VERSION_CODES.N) {
            if (path.startsWith("content://")) {
                InputStream inputStream = context.getContentResolver().openInputStream(uri);
                return new ExifInterface(inputStream);
            }
        }
    }
    catch (IOException e) {
        e.printStackTrace();
    }
    return null;
}

上面的代码可以简化，但我想显示一切。因此，从FileUri我们可以创建基于字符串路径的ExifInterface，但从ContentUri我们不能，Android不支持。

在这种情况下，我们必须使用基于InputStream的其他构造函数。记住这个构造函数默认是不可用的，你必须添加额外的库:

compile "com.android.support:exifinterface:XX.X.X"

现在我们可以使用getExifInterface方法来获取我们的角度:

public float getExifAngle(Context context, Uri uri) {
    try {
        ExifInterface exifInterface = getExifInterface(context, uri);
        if(exifInterface == null) {
            return -1f;
        }

        int orientation = exifInterface.getAttributeInt(ExifInterface.TAG_ORIENTATION,
                ExifInterface.ORIENTATION_UNDEFINED);

        switch (orientation) {
            case ExifInterface.ORIENTATION_ROTATE_90:
                return 90f;
            case ExifInterface.ORIENTATION_ROTATE_180:
                return 180f;
            case ExifInterface.ORIENTATION_ROTATE_270:
                return 270f;
            case ExifInterface.ORIENTATION_NORMAL:
                return 0f;
            case ExifInterface.ORIENTATION_UNDEFINED:
                return -1f;
            default:
                return -1f;
        }
    }
    catch (Exception e) {
        e.printStackTrace();
        return -1f;
    }
}

现在你有角度适当旋转你的图像。

最好试着以特定的方向照相。

android:screenOrientation="landscape"
android:configChanges="orientation|keyboardHidden"

为了获得最好的结果，在cameraview活动中给出景观方向。

大多数手机摄像头都是横拍的，也就是说如果你用竖拍，拍出来的照片会旋转90度。在这种情况下，相机软件应该填充Exif数据，以显示照片的方向。

请注意，下面的解决方案取决于填充Exif数据的相机软件/设备制造商，因此它在大多数情况下都可以工作，但它不是100%可靠的解决方案。

ExifInterface ei = new ExifInterface(photoPath);
int orientation = ei.getAttributeInt(ExifInterface.TAG_ORIENTATION,
                                     ExifInterface.ORIENTATION_UNDEFINED);

Bitmap rotatedBitmap = null;
switch(orientation) {

    case ExifInterface.ORIENTATION_ROTATE_90:
        rotatedBitmap = rotateImage(bitmap, 90);
        break;

    case ExifInterface.ORIENTATION_ROTATE_180:
        rotatedBitmap = rotateImage(bitmap, 180);
        break;

    case ExifInterface.ORIENTATION_ROTATE_270:
        rotatedBitmap = rotateImage(bitmap, 270);
        break;

    case ExifInterface.ORIENTATION_NORMAL:
    default:
        rotatedBitmap = bitmap;
}

下面是rotateImage方法:

public static Bitmap rotateImage(Bitmap source, float angle) {
    Matrix matrix = new Matrix();
    matrix.postRotate(angle);
    return Bitmap.createBitmap(source, 0, 0, source.getWidth(), source.getHeight(),
                               matrix, true);
}