I’ve attached it as a context menu on the DataGrid, but you could also attach it to the header or to a button. I hope it helpful to someone.

var context:NativeMenu = new NativeMenu();
for each (var col:DataGridColumn in myDataGrid.columns){
	var menuI:NativeMenuItem = new NativeMenuItem(col.headerText);
	menuI.checked = col.visible;
	menuI.data = col;
	context.addItem(menuI);
}
context.addEventListener(Event.SELECT, function(e:Event):void {
	var t:NativeMenuItem = e.target as NativeMenuItem;
	t.checked = !t.checked;
	t.data.visible = t.checked;
});
 
myDataGrid.contextMenu = context;

Anyway, after changing it to use an HBox it’s working. I’ve uploaded a new version of the CleVR Stitcher with that fix and a few others. You can install it from that box in the sidebar (unless you’re reading this via the feed).

The InterpolatedBitmapData class adds the methods getPixelBicubic and getPixelBilinear to the BitmapData class, which allows you to fetch the colour of a point that’s not on a pixel boundary. We use this when reprojecting the source images in the CleVR Stitcher, but it can work just as well for resizing an image. Bear in mind that bicubic is a lot slower than bilinear, and the quality improvement isn’t usually worthwhile. However, you’re welcome to switch to getPixelBicubic if you need to.

The basic method I’m using here for resizing is to loop through the pixels of the output image, getting the equivalent pixels in the source image. As these are found by multiplying by the ratio between the source and output sizes, the coordinates probably won’t be integers. Using regular getPixel would require rounding, and therefore give a jagged (aliased) output. The getPixelXxx methods let you pass them a Number, which needn’t be an integer, giving a much smoother result.

The sample code below shows a way of resizing an image using this method. The InterpolatedBitmapData should be created in the same way as a BitmapData, such as by draw()ing a loader onto it. The example I’ve shown below is an Event.COMPLETE handler for a Loader. Code below the cut.

var source:IBitmapDrawable = event.target.loader;
 
var original:InterpolatedBitmapData = new InterpolatedBitmapData(source.width, source.height);
original.draw(source);
 
/* The size of the output image */
var newWidth:int = 100;
var newHeight:int = 200;
 
var resized:BitmapData = new BitmapData(newWidth, newHeight);
 
var xFactor:Number = original.width / newWidth;
var yFactor:Number = original.height / newHeight;
 
/* Loop through the pixels of the output image, fetching the equivalent pixel from the input*/
for (var x:int = 0; x < newWidth; x++) {
    for (var y:int = 0; y < newHeight; y++) {
        resized.setPixel(x, y, original.getPixelBilinear(x * xFactor, y * yFactor));
    }
}

Thank you everyone who submitted bug reports. They have bee very helpful. This release should fix all of the most commonly reported problems. See below for a list of updates, and important information on installing the update.

Important: If you have previously installed the CleVR Stitcher you will need to uninstall it before upgrading. You also cannot use the self-update feature of the old Stitcher for this upgrade. This is because we have a new code signing certificate with a new company name, CleVR Ltd. To uninstall on Windows, go to Add/Remove Programs and remove CleVR Stitcher. On a Mac, go to the Applications folder and drag “CleVR Stitcher” to the Trash. You can then install as usual.

Bugs that have been fixed include:

• Large images that when resized were over 1MB were failing to load. This was by far the commonest problem reported and should work now. If anyone still has problems with images loading then do please let me know.
• Drag and drop was not working for lots of users.
• Some users on Windows reported that it was repeatedly trying to access the floppy drive.
• In a small number of cases it would freeze when the Stitch button was pressed.
• EXIF focal length data was being ignored on some Nikon images.
• The first image of a panorama was misaligned in many hand-shot images.
• In a small number of images, the rotation was being ignored when stitching.

Other enhancements include:

• Better feedback when reordering images.
• JPEG encoding is asynchronous and gives feedback rather than freezing the screen.
• Numerous improvements to the stitching algorithm.
• Several improvements to the interface.

If you haven’t tried adding hotspots to your panorama, give it a try. If you’re logged-in, you’ll find a button on the panorama page to edit them. Hotspots let you add another level of interactivity to your panoramas. You can create areas within the panorama that can be clicked to give more information or to move to another location. You can display text, images or even Flash files such as Youtube movies. Links to other locations lets you move around an area – for example, you could click on a doorway to move to a panorama inside a building or in a different room.

The library includes a number of classes that we developed as part of the CleVR Stitcher. They include a set of matrix algebra classes, ported from the Java JAMA library. These let you do standard matrix algebra stuff, and includes support for singular value decomposition and QR decomposition.

There’s also some graphics classes. One is a subclass of BitmapData that adds bicubic and bilinear interpolation. Another is a class for calculating the histogram of an image, with methods to do histogram stretching. This gives results similar to “Auto levels” in Photoshop, or “Enhance” in iPhoto.

You will find them here. They’re released under the Creative Commons attribution licence, which basically lets you do anything with them, so long as you give credit somewhere. A link to clevr.com would usually suffice. Let me know if you have any comments, patches, or if you’re using it.