I published a short demo video of the upcoming Android version of Chicken Tournament. The video has no sound and shows the game as of today.
I published a short demo video of the upcoming Android version of Chicken Tournament. The video has no sound and shows the game as of today.
After more than 10 years I decided to port Chicken Tournament to current Android smartphones. Due to the differences between the platforms, this will result in a new game and a new engine, but because of lack of time and resources, I will reuse the models and most of the textures. OpenGLES 2.0 though allows me to massively improve the quality of the graphics.
The PC version and the android version will not be compatible.
Please follow the official Chicken Tournament facebook page to receive more information and updates. A very early development version allows driving the harvester over a plain using the accelerometer to steer. The chicken are nicely animated using vertex shader.
While I have frequently improved and updated the network compatible Android version of Freebloks, I have always neglected the Windows version. The Android version gained features like player names and the ability to choose the colors to play with. While the Windows and Android version always stayed compatible, the PC version simply did not offer these features to connecting Android devices or when connecting to a dedicated server.
Now Freebloks-1.5 for Windows is available, which lets connecting Android devices use all features and offers the player to choose his colours as well as to choose a name (which is not displayed in the game but on connected Android devices). If you frequently play Freebloks over the Internet, it is recommended to download the new version here:
I created and published an android app that bundles my ISATAP client daemon and provides a configuration front end. To run the binary on android, it requires root access, i.e. a rooted device or phone.
If you have a rooted phone and an ISATAP infrastructure close by, please feel free to give it a try:
The app is open source, with code being available on GitHub: https://github.com/shlusiak/isatapd-android
The source tree also contains a pre-compiled isatapd binary to be used in your own distribution or scripts.
Freebloks 3D for Android is free software, it’s open source, completely free of charge and you can modify it to any extent. Free software however does not mean it has no value. That’s why Freebloks comes with the feature of in-app donations to support the developers.
You can choose how much Freebloks is worth to you, you can donate any amount you like or you can purchase the new published version called Freebloks VIP, that is identical to the free version but paid to show the support to the developers. The only visual difference is the coin in the app icon indicating your support.
Please don’t take free software for granted.
Freebloks 3D for Android is the Android port of the PC version of Freebloks 3D for Windows and Linux. Like the PC version, the Android port is completely free software, available for free in the Google Play Store and the source code being available on GitHub.
I strongly believe in Open Source software and that it can help to make the world a better place by making knowledge and power available to everyone. While many hours of work went into the Android port, I feel good to completely open the software for others to study, to modify or contribute. A lot of my knowledge and skills come from the study of others work and my contribution to open source software is my attempt to give something back in return.
If you like Freebloks, please be encouraged to contribute, send be feedback, work on the code or support the developers with a donation. The recent update makes in-app donations available for users. These in-app items acknowledge the work of the developers and are completely voluntary. Freebloks will always be free but relies on your contribution!
So if you think, the game has some value for you, please consider a donation of your choice.
The latest update of Freebloks 3D for Android adds nice drop shadows to falling stones. Instead of “correct” shadows using shadow volumes in a stencil buffer, the android version renders a pseudo drop shadow texture on the board. The shadows are not always correct, but it is much easier to add individual tinting, alpha or scale effects, depending on the distance of the stones. This adds a more realistic look and is easy on the hardware, because there is no need to recalculate the shadow volume each frame.
For the port of Freebloks 3D to Android I rewrote all code from C to Java. While that was working fine and resulted in greatly simplified networking code, the speed of the AI was not so great. It took up to 10 seconds on a fairly powerful SGS 2 for the computer to find a good move.
I was trying to move the CPU intense routines of the AI to C again, using jni as a bridge between Java and C. The simple network routines should stay in Java.
But the transfer of relevant game data to C and back to Java turned out to be very ugly, yet the solution was incredibly simple:
The Freebloks code was always split in two parts, the GUI/client part and the AI/server part, with the client and server always communicating using network sockets. Yes, even the single player version starts a network server and connects to localhost. The original source code always contained a package for running a dedicated server.
It was incredibly easy to copy the dedicated server code into my project, compile the C code with the NDK and connect it to Java with only a single jni call. It was running out of the box, with almost no change of the original C code at all! Since the server is running in a thread started from the native C code, there is no additional jni call neccessary and no data transfers except for the sockets.
The average duration for the AI to calculate a complete game dropped from 87 sec to 28 sec on my SGS 2. The version 0.0.2 in the Google Play Store supports ARMv5, ARMv7 and x86. Grab it now! You may also download a free apk file here.
And please don’t forget to give feedback.
I want to attach a USB stick to the AVM Fritz!Box 7170 to use as USB storage and be able to write to it using the integrated ftp server. When writing a bunch of files, the write performance drops to under 50 kb/sec, while the stick can easily handle 512 kb/sec. Why the bad performance and why the drop?
I replaced the stock AVM firmware with Freetz but got similar results. What got my attention is a drop in performance after copying 4 files, that does not recover after time. The following tests were done using the Freetz modification with Linux kernel 184.108.40.206-ohio.
Look at these numbers when copying a bunch of files to the stick using scp:
$ scp tmp* email@example.com:/var/media/ftp/uStor00/ tmp1 100% 2048KB 682.7KB/s 00:03 tmp2 100% 2048KB 512.0KB/s 00:04 tmp3 100% 2048KB 512.0KB/s 00:04 tmp4 100% 2048KB 55.4KB/s 00:37 tmp5 100% 2048KB 38.6KB/s 00:53
Each following transfer would then be at only 55KB/s. Issuing a sync command to flush out dirty buffers makes no difference, so the speed is not throttled by the USB stick being busy.
The Linux kernel reveals some interesting cache and memory information in /proc/meminfo. These are numbers taken after a fresh boot:
# cat /proc/meminfo MemTotal: 30204 kB MemFree: 9632 kB # unused, completely free memory Buffers: 280 kB Cached: 6280 kB # memory used for cached files SwapCached: 0 kB Active: 8652 kB Inactive: 1524 kB HighTotal: 0 kB HighFree: 0 kB LowTotal: 30204 kB LowFree: 9632 kB SwapTotal: 0 kB SwapFree: 0 kB Dirty: 0 kB # memory waiting to be written to disk Writeback: 0 kB # memory actively being written to disk Mapped: 8040 kB Slab: 6028 kB CommitLimit: 15100 kB Committed_AS: 5724 kB PageTables: 240 kB VmallocTotal: 1048560 kB VmallocUsed: 4056 kB VmallocChunk: 1043636 kB
While copying the first files, the highlighted numbers read like this:
MemFree: 1716 kB Cached: 13704 kB Active: 8976 kB Inactive: 8928 kB Dirty: 6836 kB # lots of data waiting to be written Writeback: 444 kB # lots of data being actively writting
We see that the cache is filled up quickly with buffers also marked to be written on the stick (marked dirty) and that the pdflush daemon already started to write out chunks of consecutive data to the usb stick. Remember that usb sticks have good performance when streaming out data chunks that fit into the physical structure but bad performance, when writing out small chunks because a lot of the flash memory keeps being reread and overwritten. The performance is good here, because there are a lot of dirty buffers the kernel can optimize the writing out.
Let’s go back and look at the numbers exactly after tmp1 has been written (2048 kB):
MemFree: 7100 kB # before: 9632 kB Cached: 8456 kB # before: 6280 kB Dirty: 0 kB Writeback: 0 kB
The buffers have all been flushed, so the stick is idle. Our cache grew by 2048 kB taken from the free memory, containing now also the file tmp1.
Copying file tmp2 (2048 kB) is fast and the memory info after copying is no surprise:
MemFree: 5084 kB # 2048 kB less Cached: 10504 kB # 2048 kB more Dirty: 0 kB Writeback: 0 kB
Neither is tmp3 (2048 kB), because there is still unused memory left. But now it’s getting interesting, because write performance with tmp4 drops drastically.
While writing tmp4, and the performance dropping to 30 KB/sec, the numbers look like this:
MemFree: 1148 kB Cached: 13988 kB Dirty: 12 kB Writeback: 36 kB
Of course free memory is useless, we’d rather have everying to into the cache. The cache stays filled (we have tmp1, tmp2 and tmp3 in the cache), but the values for Dirty and Writeback are too low.
Before, the file to be written was completely loaded into the cache first and marked dirty.The pdflush daemon was started deferred and found rich caches to be written to disk.
The number of blocks marked dirty now never seems to exceed 50 kB. The pdflush daemon can only flush out small chunks of up to 36 kB at once (usually less), resulting in a lot of USB operations and overhead and low performance.
The Freetz kernel unfortunately does not expose /proc/sys/vm/drop_caches to drop all cached buffers. But what happens, if we rm tmp1:
MemFree: 1604 kB Cached: 14004 kB
Nothing. tmp1 is not in the cache anymore and most likely tmp4 has taken it’s place, because it is newer. But tmp2 is still in the cache, so let’s rm it:
MemFree: 3464 kB # rm tmp2 frees up the cached memory Cached: 12152 kB # the rm'ed file is removed from cache
Now we have over 3 MB free and unused memory and the file is not in the cache anymore.
Now let’s copy tmp5 (2048 KB). These are numbers from during the copy to see the values of Dirty and Writeback, so the file is only partly transfered yet:
MemFree: 2204 kB Cached: 12948 kB Dirty: 152 kB Writeback: 424 kB
We again see high numbers for Dirty and Writeback as parts of the copied file are moved to the cache and dirty. The pdflush daemon gets huge chunks of buffers again to be streamed to the medium and we get a fairly high transfer rate.
This is the fairly old Linux kernel 220.127.116.11-ohio from Freetz. The behaviour of the VFS and pdflush seems to be broken and thus result in very poor write performance:
This is a kernel bug preventing Fritz!Box 7170 from ever achieving good write performance on my USB stick and other mediums.
External harddrives might work better, because of fast integrated hardware caches that can take lots of small chunks. But on a USB stick without hardware cache, performance is killed by the small writes.
It is unlikely that this bug will be fixed by AVM or by Freetz for the Fritz!Box 7170 because it seems to be a flaw in the used Linux kernel and AVM does not update the 7170 firmware anymore.
Is this a known bug and is this fixed in newer kernels?
android.opengl.GLException: out of memory at android.opengl.GLErrorWrapper.checkError(GLErrorWrapper.java:62) at android.opengl.GLErrorWrapper.glGenTextures(GLErrorWrapper.java:350) at [...]
From the very limited information the Google Play Developer Console gives me about crash reports, I assumed it only affects devices running Android version 3. Modifying the code only caused the out of memory exception to be thrown at random other places, even at GL10.glClear(…)!
I also found out, the crash only happens when the user finishes a subactivity that would leave to the activity containing the GLSurfaceView. Users were complaining about the crash happening before starting a second game, which puzzled me, because all my rendering code seemed to be working fine on all devices running Android 4. Everything worked fine without the GLSurfaceView as well.
Looking that the source code for GLSurfaceView, nothing interesting was changed between Android 3.2 to Android 4, so the GLSurfaceView was hardly to blame, but more the hardware, drivers or specific OpenGL implementation.
The actual problem was very hard to track down and took me several hours and was particularly hard because I did not have an Android 3 tablet for debugging:
Up to Android 2.3, views were drawn in software and later composited using the hardware. Android 3 introduced an alternative hardware accelerated drawing engine for everything that uses Canvas classes. This alternative render path is disabled by default in Android 3 and supposedly enabled by default in Android 4 (previous blog post).
When I found out, that the Samsung Galaxy S2 does not enable hardware acceleration by default, I did set
<application android:hardwareAccelerated="true" ...>
in the AndroidManifest.xml for all activities that should support hardware acceleration. Using hardware acceleration for the activity with the anyway hardware accelerated GLSurfaceView did not make much of a difference. But accelerating the results or preferences activity, for example, gave a nice performance boost on my SGS2.
It turns out that the crash happens in Android, when an activity, that contains a GLSurfaceView, is paused for a fullscreen activity, that is hardware accelerated. When that hardware accelerated activity is finished, the underlying GLSurfaceView is screwed up, throwing out of memory exceptions, even though the GL context is completely reinitialized correctly.
Yes, I should have tested more the effects of hardwareAccelerated=”true”.
Leaving that attribute entirely unset is recommended for Android 3, especially when you use a GLSurfaceView, and should not hurt Android 4 devices as well. Setting a reasonable default value is then up to the manufacturers.
Welcome to fragmentation. Just let hardwareAccelerated be unset.
# emerge isatapd
Source code is available on http://github.com/shlusiak/isatapd
So far only the paid Pro version is available, the free version, which comes without the nice 3D interface, might follow soon.
The review process took only about 4 work days.
Because the tiles are simple rectangles with round corners, I created a texture with gimp and rendered a quad in OpenGL. The texture had no mipmaps and was filtered linear for both, minimizing and magnifying. When rotating that quad, I got the typical “staircase” lines, because I did not use anti-aliasing / multisampling. The result looks rather horrible:
You can see two effects, one if it being the clear staircase borders, where the texture is not linear filtered, and you see the round corners of the texture with a grayish border, I’ll explain in the next paragraphs.
So how to achieve multisampling in OpenGL ES 1.1? The answer I found is quite simple and easy on the hardware: use a texture with a transparent border and linear texture interpolation will do the rest. So I modified the texture to include a transparent border and rendered the quads slightly bigger to fill the same amount of pixels.
The result looked better but I was not satisfied with the borders. I saw the interpolations but there is still a very visible “staircase”. Plus it seems, that the borders are blended with a black color, which can be seen on the overlapping tiles:
This is in fact due to my texture, which had the transparent pixels assigned the color black. The OpenGL interpolation would just average two neighbour pixels, which would calculate like
(argb(1, 1, 1, 1) + argb(0, 0, 0, 0)) / 2 = argb(0.5, 0.5, 0.5, 0.5)
which is a semi transparent gray color tone.
So how to create a texture, where the transparent pixels have the color white? Gimp seemed to screw up the color of transparent pixels even though when exporting my work as png file, it offers to keep the color of transparent pixels.
The trick: combine all visible planes, create an alpha channel and change the color layer. If you have uncombined planes, the result is unpredictable and the colors are screwed up.
So now I had a texture with a white but fully transparent border (value 0x00FFFFFF) and I’d expect the calculation to be
(argb(1, 1, 1, 1) + argb(0, 1, 1, 1)) / 2 = argb(0.5, 1, 1, 1)
But I still got the same result:
So why is my border still black, while the texture has white transparent regions? I checked the loaded Bitmap with this code after loading the png resource:
Bitmap bmp = BitmapFactory.decodeResource(getResources(), R.drawable.stone); Log.d("texture", bmp.getPixel(0, 0)); /* result: 0 */
Why is the result 0?? I’d expect a 0x00FFFFFF, but either Androids Bitmap loader premultiplies the alpha or recompresses the image file on compile, although I did place the image in the res/drawable-nodpi folder.
But apparently Bitmap and Canvas throw away all color information, when drawing with an alpha value of 0. This results in a fully transparent, but black canvas:
canvas.drawColor(Color.argb(0, 255, 255, 255), Mode.SRC); Log.d("texture", bmp.getPixel(0, 0)); /* result: 0 */
while the following results in a white canvas, which is almost transparent (1/256):
canvas.drawColor(Color.argb(1, 255, 255, 255), Mode.SRC); Log.d("texture", bmp.getPixel(0, 0)); /* result: 0x01FFFFFF */
Good to know, so now I create my texture with a border that is almost transparent, but not completely (alpha value 1/256) and the color white, which should be hardly visible, calculating like:
(argb(1, 1, 1, 1) + argb(0.01, 1, 1, 1)) / 2 = argb(0.505, 1, 1, 1)
I checked with above Log code and indeed got the value 0x01FFFFFF. So at least the Bitmap was loaded correctly now. But I still get a black border and the result looks the same. Why?
I found a post and bug report that apparently the GLUtils.glTexImage2D() screws with the alpha and colors too, creating texture values of 0x01010101, which gets blended with the nearby white pixels on linear filtering. What the…?
The post suggests a workaround to not use GLUtils to load the Bitmap into an OpenGL texture but use the original GL10.glTexImage2D(). While the code in that post is not very efficient, it does result in nice and smooth blended borders. Of course the use of mipmaps helps too to make the texture smooth when minified:
Several culprits were found to make antialiasing work with an Android App using OpenGL ES 1.1:
Using mipmaps and adding a nice shadow texture results in a screen, that looks very similar to the original, but which is much faster:
The next WordMix and WordMix Pro release will include support for Russian, Portuguese and Dutch as dictionary languages. I had a lot of fun with the Cyrillic encoding of characters and especially the database for the words as I learned that a lot of Linux tools are still not ready for handling multi byte character sequences correctly.
Mostly the tool tr kept me busy, when I tried to convert lower case letters to upper case. The normal approach of
tr [:lower:] [:upper:]
only seems to work for the ASCII character set. If manually used on UTF-8 data, it screws everything up even more, like in the command:
tr \ абвгдеёжзийклмнопрстуфхцчшщъыьэюя \ AБВГДЕЁЖЗИЙКЛМНОПРСТУФХЦЧШЩЪЫЬЭЮЯ
The trick was to use tr on the original KOI8-R encoded data (which is 8 bit), for which I also had to pass KOI8-R encoded parameters to the tool, which was a pain inside an otherwise UTF-8 encoded shell script. So I tried to read the KOI8-R encoded parameters from a file before passing it as arguments so I don’t screw up my shell script.
It took me several hours and attempts to find that out and to get all the encodings right, so now a working Russian dictionary is available. 🙂 It won’t be shipped by default though, so it needs to be fetched from the Internet once by the game, on first use.
Of course the global ranklist is prepared for the new languages as well.
Oh my, my webhoster has the deflate output filter disabled by default, that enables gzip compression of outgoing content. This is important for huge xml/json data from webservices that travel over mobile networks and easily reduces used bandwith to up to 10%.
Putting this in my .htaccess did the trick:
You can analyze the traffic with Wireshark, Firebug or use an online tool:
Make sure, your mobile app sets the Accept-Encoding of the request accordingly.