我有以下json响应
{
"tag": [
{
"listing_count": 5,
"listings": [
{
"source": "source1",
"data": {
"image": "image1",
"name": "name1"
},
"name": "name1"
}
]
},
{
"listing_count": 5,
"listings": [
{
"source": "source2",
"data": {
"image": "imag2",
"name": "name2"
},
"name": "name2"
}
]
}
]
}
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我为GSON请求创建了以下类.如何使用排球请求发出GSON请求并存储响应的值.GSON请求应该是什么样的?
public class TagList {
ArrayList<Tag> tags;
public static class Tag {
int listing_count;
ArrayList<Listings> listings;
public int getListing_count() {
return listing_count;
}
public void setListing_count(int listing_count) {
this.listing_count = listing_count;
}
public ArrayList<Listings> …Run Code Online (Sandbox Code Playgroud) 我想添加一个项目长按一下监听器,它会将选择的图像设置为壁纸.我从网上获取图像并在网格视图中显示它们.我的网格活动如下所示.我已经有一个点击监听器来显示全屏图像.
public class ImageGridActivity extends BaseActivity {
String[] imageUrls;
DisplayImageOptions options;
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
requestWindowFeature(Window.FEATURE_NO_TITLE);
getWindow().setFlags(WindowManager.LayoutParams.FLAG_FULLSCREEN,
WindowManager.LayoutParams.FLAG_FULLSCREEN);
setContentView(R.layout.ac_image_grid);
Bundle bundle = getIntent().getExtras();
imageUrls = bundle.getStringArray(Extra.IMAGES);
options = new DisplayImageOptions.Builder()
.showStubImage(R.drawable.stub_image)
.showImageForEmptyUri(R.drawable.image_for_empty_url)
.cacheInMemory().cacheOnDisc()
.bitmapConfig(Bitmap.Config.RGB_565).build();
GridView gridView = (GridView) findViewById(R.id.gridview);
gridView.setAdapter(new ImageAdapter());
// Set Long-Clickable
gridView.setLongClickable(true);
gridView.setOnItemLongClickListener(new OnItemLongClickListener() {
@SuppressLint("NewApi")
public boolean onItemLongClick(AdapterView<?> parent, View arg1,
int position, long arg3) {
// TODO Auto-generated method stub
ImageAdapter i = (ImageAdapter) parent.getAdapter();
Bitmap mBitmap = BitmapFactory.decodeResource(getResources(),
(int) i.getItemId(position));
// …Run Code Online (Sandbox Code Playgroud) 如何从像这个网站的图像中提取元数据?我使用过exev2库,但与本网站相比,它只提供有限的数据.有更高级的图书馆吗?
我已经尝试过hacoir-metadata Python库.
Windows如何提取图像的细节(我们从属性中看到的)?