nKast

  The new version of KNI 3.9.9001 brings performance improvements, bug fixes, and implements missing features from the XNA. A more detailed list of the changes is available on the changelog.

Download KNI v3.9 today.

Architecture

  The most significant change in this version has to do with the library structure. All basic math types have been moved from MonoGame.dll to Xna.Framework.dll and the Vector converters to Xna.Framework.Design.dll. The latter is needed only for game editor and you can ignore it on a typical game project. MonoGame.dll still contain the majority of namespaces like .Graphics, Audio, Input, etc.
  The core of the Content.Pipeline types can be found in Xna.Framework.Content.Pipeline.dll, while the Importers, Processors and Content items have been moved to their own libraries. MonoGameContent.Pipeline.dll has been removed.

  The effort will continue to remove preprocessor directives and partial classes from the code and to split all major namespaces into their own modules. The benefits from this is a clean structured codebase, eliminating the need to use bait-and-switch trickery, seamless support for nuget packages, signed 3^rd party libraries, and easier adoption of new platforms.  
  It is necessary to update your projects and libraries with the new targets. Add a reference to Xna.Framewrok.dll and use the Ref platform as the bait and switch target for MonoGame.Framework.dll. 

Video

  After being in the backlog for years, it’s finally here. This version of KNI brings a functional implementation of VideoPlayer to WindowsDX, UAP and Android platforms.

FontDescriptionProcessor

  The Font importer is constantly improved over the last versions. Starting with a bug in Spacing element in the FontDescription, you can see bellow how the font is rendered after the fix.

 Another old issue is the font baseline. Any font family will be rendered with correct spacing on top and bellow the font.

  FontDescriptionProcessor has a new property that let you chose the hinting algorithm.
This property is specific to SharpFont.

Pipeline Content Editor

The  font size of the Content editor GUI has been increased for improved readability.

Performance

The performance of Font and Texture processor has been improved. Building content during development can be distracting, especially in a big project.



Loading times are also important, not only during development but also to your target audience.



Fast content loading is essential on mobile marketplaces that have strict requirements on apps.

Rendering performance can give you not only smother animations, but also more headroom for your update logic and physics.

The performance tests can be found in the KniBenchmarks project on github.
Framework versions: KNI 3.9.9001, MonoGame 3.8.1.303, FNA 23.07, XNA 4.0
All tests were performed on the following system:

CPU: AMD Ryzen 3 2200U
GPU: AMD Randeon Vega 3 Mobile Gfx
HDD: WD Blue SN550 NVMe SSD 

 

Sponsors

While KNI is free and open-source, maintaining and expanding the framework requires ongoing effort and resources. We rely on the support of our community to continue delivering top-notch updates, features, and support.
By becoming a Sponsor, you can directly contribute to the growth and sustainability of the KNI Game Framework.

 

One of the cool things with WP8 was the ability to write native code, something that was missing from the previous platform. Skinning was the perfect testbed to test what native code could do. 

C++/CX

The way to add native code to WP8 is C++/CX, a new language extension that replaced the managed C++/CLI as a mean to mix C++ with C#. One drawback of C++/CX is that you can't pass pointers around so you have to copy structs defined in MonoGame like Vector3 & Matrix to equivalent C++ structs. For example here is a Matrix struct in C++/CX.

namespace NativeHelper 

 

Another drawback was that any parameter or array you pass to C++/CX is copied/marshaled. That meant that native code should be way faster that C# to counter any slowdown from all that data copied around. Extra care was taken to limit that to the minimum. 

First, I populated the native object with the cpuVertices on initialization. That way I only had to pass the new bones on every frame. 
Second, the returned skinned vertices can be used directly to update the dynamic vertex buffer. The fact that the vertex struct is defined in native code is irrelevant since public C++/CX struct are valid C# struct and VertexBuffer.SetData() accept either IVertexType or struct.

Another important detail was the type of parameters in C++/CX. The bones were declared const Array<MatrixData>^ which means that there is no need to copy the content back when the function returns and the skinned vertices were declared as WriteOnlyArray<VertexPositionNormalTextureData>^ which means that there is no need to copy it's content when you call the native code. It only copy/marshal the content back when the function returns.

void Skin(const Array<MatrixData>^ bones, WriteOnlyArray<VertexPositionNormalTextureData>^ vertices);

There are some more tricks to get the most out of C++. Disable all kinds of runtime checks in the project, Maximize Speed, Favor Fast Code (over size) and enable Fast Floating Point Model.

Finally, I found that accessing directly the Data pointer of the arrays was a bit faster than accessing them through the [] operator.

 

Overall, here are the results: 

Device	Original	Native	Native(Parallelization)
L 620	11,769ms	5,875ms	4,475ms

 

From 11,77ms it goes down to 5.87ms just by moving the code to C++, including the extra copy, cost of crossing the ABI from managed to native, etc. That is down to 50% of the original code = Twice as fast!

 

 

 

Auto-Parallelization

Another cool feature of VC+ compiler+ is Auto-Parallelization and Auto-Vectorization. Vectorization uses SIMD instructions when possible. It works only with basic value types like floats. It didn't like structs or pointers, but to be fair I didn't spend much time on it, nor did I try it on VS2015. All those are tests I done more than a year ago on VS2013.
Parallelization on the other hand was relatively easy to achieve. Parallelization uses multiple cores to run a loop in parallel. In the case of Lumia 620, it uses 2 cores/threads. By using native code and enabling Parallelization the time drop down to 4,47ms. Unfortunately it's very unstable, every few seconds it can spikes up to 300ms which makes it unsuitable for games.

 

Code

 CPUSkinning - 03 - GoNative.zip (7.17 mb)

 

 One of the nice things about Windows Phone 7 was the experimental support for ARM-NEON instructions. What it did, was generate NEON instructions for XNA's build in vector classes. It greatly improved performance on things like Physics, Particles, Geometry generation,etc. I used this from the very beginning on The Juggler to improve Farseer physics and later on Dr. Pickaxe to improve both Physics and CPU Skinning. In this forum @Moblunatic describes how you can modify the CPU Skinning sample to get a ~40% improvement on WP7 devices.

As we moved our next project to WP8/MonoGame I decided to do again some measurements to see if I could do any optimization.

 

Platform	Device	Original	NEON
XNA	HD7 (WP7.5)	28,412ms	18,463ms
	L 620 (WP8)	8,750ms	14,159ms
MonoGame	L 620 (WP8)	11,769ms	25,639ms

 

The first thing we notice is that on WP8 we no longer get the benefit of ARM-NEON. Even on old XNA projects the OS no longer use them. So you need to detect WP8, probably by checking for it via reflection, and use the original skinning code if you want maximum performance. 
 The same is true for MonoGame. You should revert back to the original code if you need max performance.

Assume nothing

One of the things I notice about the code, was that it makes a method call inside the loop, which in turn calls a second method. 

 

 I assumed that I could speed up the code significantly by removing the overhead caused by those calls by bringing the actual code inside the loop. This turn out to work for the neon version but I also got some weird artifacts on HD7, so I couldn't use it. 
 For the original code, the one I use for MonoGame, it made things worst! It turns out the code is not written this way for simplicity but there are some very clever optimizations going on. 
 Notice the use ref & out? This is like taking the address of -let's say- cpuVertices[i].Position and passing it down to the next method instead copying the struct to a local variable or keep accessing it through the cpuVertices[i] list. Since some platforms don't allow pointers/unsafe code the use of ref/out is a nice trick!

Platform	Device	Original	NEON	Original(flat)	NEON(flat)
XNA	HD7 (WP7.5)	28,412ms	18,463ms	34,210ms	14,099ms
	L 620 (WP8)	8,750ms	14,159ms	9,421ms	9,7598ms
MonoGame	L 620 (WP8)	11,769ms	25,639ms	12,758ms	21,035ms

 

 

Conclusion

 If you still support WP7 with XNA, always use CPU skinning (the GPUs were really weak) enable NEON (EnableFPIntrinsicsUsingSIMD inside AssemplyInfo.cs), and use the NEON version of CPUSkinning.

 For WP8 the GPU is fast enough to do skinning, but you can always use that extra headroom for rich shading/post-proccessing/etc. Skinning is one of few things that you can move to a second thread so it comes for free if you do so. Use the original skinning code which is better optimized and performs better in the absence of NEON/XNA.

Code

CPUSkinning - 02 - Neon.zip (10.99 mb)

 

One of the issues I had to resolve during the development of our next game was slow loading times on WP8. After some investigation I figure that about half of the time was spent on loading models with skinning information.

I use the code from the CPU Skinning sample. The sample demonstrate how to efficiently do animations on mobile devices which means all other aspects are left as simple as possible so you can adapt it to your needs easily. So, it comes as no surprise that the code depends on automatic serialization (reflection) which is not very efficient. Since we are going to talk about content loading on XNA / MonoGame this post apply to traditional GPU-skinning as well. 

Most of the CPU circles were wasted on serializing the list of Keyframes in AnimationClip. To resolve this we can write our own serializer. If you think this doesn't worth doing then take a look at the numbers below...

Platform	Reader	Loading Time
XNA	automatic serialization	03,826 sec
	custom AnimationClipReader	01,970 sec
MonoGame	automatic serialization	14,263 sec
	custom AnimationClipReader	07,284 sec

(Lumia 620). You can clearly see a drop by ~50% (Twice as Fast!).
The produced .xnb are also a bit smaller. 

he first step is to write a new ContentTypeWriter. Open the CpuSkinningPipelineExtensions project and add a new file named AnimationClipWriter.cs. Copy-paste the following code.

 

 

At this point you should rebuild the Content to get the new .XNB.

Next, Open the CpuSkinningDataTypes project and add a new file named AnimationClipReader.cs. Copy-paste the following code. 

 

 

 

At this point you must make a few minor changes to AnimationClip & Keyframe classes.
Open AnimationClip.cs and change the access modifier of Duration to internal protected.

 public TimeSpan Duration { get; internal protected set; }

 

Now, open Keyframe.cs and replace all private modifiers to internal.

That's it!

 

If you want to know more about how content serialization works, 
see: XNA custom content writer/reader part 1: Introduction.

The .zip file below has some extra changes to correctly reload the model after Resuming under WP8/MonoGame. If you need these changes, make sure to copy both the CpuSkinnedModelWriter.cs / CpuSkinnedModelReader.cs to your project and then rebuild your content.

 

Code

 CPUSkinning - 01 - Loader.zip (7.18 mb)

 

One of the coolest things you can do on mobile phones are Augmented reality apps. 
Combining the camera with the Motion API of windows phone is all you need. So, here's what you need to make AR on XNA.

First, Initialize the Motion API
Here I also set the update interval to 60FPS 

The important part is to align your XNA camera to the physical camera. For that we need the Attitude property from the motion API. In order to use it we must first apply some transformations. The last line is needed for landscape apps. Remove it If your app works in portrait mode. 

What you have now is a View matrix. You can use it to draw your stuff with Model.Draw(...) or assign it to Effect.View. 
Sometimes this isn't enough. What I wanted was the actual orientation of the camera/phone as a 3D vector.
My first thought was to use Vector3.Transform(...) and transform a Vector3.Forward using the orientation matrix. That didn't work. Then I tried to get the orientation.Forward & orientation.Up but that didn't work either. Finally i wrote a small method that extracts the two vectors from a view matrix.
As you can see, you can use the results in order to create your own view matrix or use it in your Camera class.  

And here is the method to extracts the Fordward and Up vectors 

}

 

MotionAPI XNA AR.zip (773.14 kb)

AccelKit is an Augmented reality tool that simulates an accelerometer sensor for those who develop applications for the upcoming Windows Phone 7.
I used ARToolKit, an open source AR library that can track the position & orientation of a marker moving in front of a webcam.  Those data are then translated into accelerometer measurements and made available to any program through port 88. You can get the source code at accelkit.codeplex.com or just the executable at tainicom.

How to use it 

Print the Print_This_Cutout.pdf on plain paper and glue it on a sheet of cardboard. 
Then cut out the phones. 

Place your webcam in  straight position, forming a 90^o angle with the floor. 

Run the accelKit.exe found inside the Executable folder. 
On the first screen you are asked to select the desired web resolution. Because tracking can be very CPU intensive, select the lowest possible resolution (That screen might vary from webcam to webcam).
You should now see feed from your webcam. If not, check for other video capture devices in your system (like TV tuners for example) and disable them. 
Move the marker smoothly in front of the webcam. If accelKit keeps loosing track of the marker add some more light to the room to improve the image sharpness. If you still have problems, try again with the next resolution until you get consistent results. It is normal to lose track once in a while for a few frames, especial when the marker moves too fast or on extreme angles. 

Open a web browser and go to http://127.0.0.1:88/. You should see something in the form of "-0.068880,-0.997565,-0.010901". In case you are eager to see it in action get the samples at tainicom.net! 

Now, let's add support for accelKit in your applications. The code below (C#) demonstrates how you can get the accelKit data.

..
WebClient wc;
wc = new WebClient();
wc.AllowReadStreamBuffering = false;
wc.DownloadStringCompleted += new DownloadStringCompletedEventHandler(wc_DownloadStringCompleted);
wc.DownloadStringAsync(new Uri("http://127.0.0.1:88/"));
..

void wc_DownloadStringCompleted(object sender, DownloadStringCompletedEventArgs e)
{ 
if (e.Error != null) { timer.Begin(); return; }
if (e.Result == null) { timer.Begin(); return; }
string[] vc = e.Result.Split(new Char[] {',', ' '});
double x = Convert.ToDouble(vc[0]);
double y = Convert.ToDouble(vc[1]);
double z = Convert.ToDouble(vc[2]);
} 

Inside the release you will find the AccelerometerEmu class that you can use as an in-place replacement of the Accelerometer class. Unfortunately, the Accelerometer is sealed so I couldn't inherit from it and had to use composition instead. AccelerometerEmu connects to the accelKit and retrieves data in a constant rate when run in the Windows Phone 7 emulator. When run in a real device, it uses the real Accelerometer (since I don't have access to a real device I couldn't test how good that works). Here's what you have to do:

Replace all instances of Microsoft.Devices.Sensors.Accelerometer with NKast.Sensors.AccelerometerEmu.

Add an event listener to ReadingEmuChanged.

..  
accelerometer.ReadingEmuChanged += new EventHandler<AccelerometerEmuReadingEventArgs>(accelerometer_ReadingEmuChanged);
..


void accelerometer_ReadingEmuChanged(object sender, NKast.Sensors.AccelerometerEmuReadingEventArgs e)  
{
Deployment.Current.Dispatcher.BeginInvoke(() => MyReadingChanged(e));
}

void MyReadingChanged(AccelerometerEmuReadingEventArgs e)
{
double accelx , accely , accelz;
accelx = e.X; 
accely = e.Y;
accelz = e.Z; 
..
} 

My Plans for the next version

Bug fixes!
Code optimization.
Derive acceleration from the mark movement. Right now it only accounts for orientation, therefore you get only gravity acceleration as if you were rotating the device in a fixed position.
Add a mode where the webcam looks straight down. I understand that's necessary for certain types of games. 

Last notice

• The simulated accelerometer fires events in fixed intervals. A real device might behave differently.
• The Timestamp property of AccelerometerEmuReadingEventArgs is not yet emulated.
• Currently it only returns the gravity acceleration. Not acceleration caused by movement.
• Do not print the paper cutout on glossy or semigloss paper! The less glare, the better!

 

I hope you find it helpful while developing great games for Windows Phone 7 !