I've tried 2 different SD cards (Samsung Evo 32G), and 3 different power supplies (all 5.1v 2-2.5A).
Still just getting purple screen full of normal boot-up messages, at some point during start up it just freezes.
and leaves me with a screen full of boot messages.
freezes somewhere between 13.xxxxxx and 21.xxxxxx
do i have a bad pine?
can i get it replaced? (got mine via the kickstarter, this is my first time working with it)
Hello! So I noticed that my Pinebook's case seemed very flexible, and that when I flexed the bottom case like an arched bridge, the spacebar + modifier keys on my Pinebook's crappy keyboard suddenly started working very well.
My hunch is that the bottom case just isn't as stiff as expected, and that the extra slop is making the keys "bottom out" before they register a keypress. (The lipo pack is also not stiff and has a "hinge" in the middle that lets the whole machine bend/flex quite a bit.)
So here's my hacky fix: add something to stiffen it!
I had a bunch of 3mm (nominal; actual ~ 3.5mm) plywood scraps around, and put a few of them on top of the lipo module.
You could use anything that is stiff when bent along its long axis. There's more room than you'd think.
Try not to put anything behind the trackpad, or it will impede the press-to-click. (I'd love to impede the scroll-to-zoom, but that's another story...)
Before, my left modifier keys (including Shift and Ctrl, grr) were just terrible. Like I had to mash them so hard that I could barely hit the other key I was trying to modify. And the spacebar only worked if I hit it dead in the center, hard. Now these keys work normally, with the minor exception of the spacebar missing a keypress at the extreme ends now and then.
The laptop sits slightly less evenly on a flat surface. Not bad. Just rocks a tiny bit. I mostly use it on my lap, so this isn't a concern for me. It looks ever so slightly bulgier in person, but it's more subtle than you might think for a laptop with a piece of wood inside it.
Looking forward to someone telling me this is a terrible idea but for me it is working well! Hope this helps you too.
First, let me thank ayufan, for l the hard work you have done, creating images for the rock 64 board.
I am a newbie in Linux, although I am a old timer in computers.
I see there is a image up, for Android tv, for emmc.
I haven't worked with emmc cards yet, so I was wondering...
I usually have burned images for the RPi, on windows.. Using sdformatter, and win 32 disk img ..
Would this process work, for the rock 64, android tv, emmc image, that is on your GitHub page?
While I plan to use the rock 64 for a lot of different things, Google recently said they have updated their support for Chromecast, in android tv. I want to see how this works... Kodi, on Linux, hasn't, to date had real support for Chromecast, that worked great.
Thank you, in advance, for and help/advice you can offer,
Hi, I used Pinebook (Android 7.1 latest) to make a presentation in the conference (COSCUP in Taipei) today, I had the better experience for making a presentation, even there were almost MAC books at that conference.
There was only one thing not working, that was the remote point pens for presentation (usb device), and I tried 2 pens no one working.
I think this is the fantasying thing for me to use it at public presentation.
In March of 2014 I wrote a transcendental functions module for python ( in pure python ) which leverages the relatively new Decimal module; especially fast in Python3 on x86 machines.
As it turns out these routines are also especially fast in Python3 on the Rock64 and the Pinebook; although, I have used them to benchmark on the PineA64 also; fast in its own right.
The Decimal module is written and optimized in C. My module(s) live on pypi and are being made available here for others who may want to experiment with big-nums maths or who may specifically want to run my PI benchmarks themselves. The pdeclib pilib module(s) will run on python2 or python3 unchanged; they may be run in the REPL in "calculator" mode or they may be easily scripted. The module(s) provide transcendental functions to arbitrary precision as well provide several PI routines which converge relatively quickly -- particularly fast is piagm2(). These routines are also useful for those who want to study maths codes for convergent series.
The package contains pdeclib.py (the main transcendental functions module) and pilib.py (several useful historical PI routines). I hope they are useful, but recognize that they may not be complete, nor free from bugs; however, they are intended to be used and studied, and they have been available on-line for several years.
To use the modules simply place the two files in a working directory (or in your PythonPath) and then run the python REPL of choice in that directory , or path. Then import the modules in the normal way:
>>> from pilib import *
The module pilib will import pdeclib; although pdeclib may be imported alone. The default number of digits used is 42. This may be changed with the function:
>>> dscale(1010)
The above will set the number of big-num Decimal places to 1,010. To compute PI run:
>>> piagm2()
Read through the source (header and readme files) for caveat(s) and to find the syntax of the various functions provided by the package. There are no blobs, and the source is 100% pure python code; what you see is what you get.
The following script is a Python3 example script for running the PI benchmark on any of the Pine boards and a gnu+linux image. Its a simple script which starts the Python interpreter, imports the requisite modules, and executes the piagm2() AGM PI routine, to 1010 places. This result will be accurate to +|- in the last two places. The signature digits for the 1000th place are 164201989. Also, at position 762 you will find six nines ... 999999.
PI-calc.sh
Code:
#!/usr/bin/python3
from pilib import *
dscale(1010)
print(piagm2())
To run the codes above use the 'time' command with the script and the modules in your working directory:
time ./PI-calc.sh
Don't forget to make the script executable with : chmod 0754 PI-calc.sh
The above command will give you 1000+ correct digits of PI in a few hundred milliseconds, and will also tell you how much 'real' , 'system' , and 'user' time was used. You might find it interesting to compare the computations on our four platform boards for 1K, 5K, and 10K digits of PI !
These little SoC(s) particularly running aarch64 ArmV8 64bits are very fast; so, knock your SoC(s) off !
Note: It is interesting to run four or more terminals [ each running piagm2() ] to load the processor (all cores) for watching the temps in /sys/class/thermal/ or for experimenting with SMP.
Note: Other things affect the speed of these calcs, like gcc version and kernel version; experiment with different gnu+linux builds; try these codes and compare with different images. Hav'fun.
Note: Some believe this kind of bench-marking to be silly; to the contrary, this is a tool that provides valuable insight into the comparative operation of the SoC(s) for maths, as well for 32bit vs 64bit, as well for cache vs RAM. Its just one tool and only gives a partial picture, yet is a fun way to explore your SoC(s), and learn some maths and python at the same time !
Note: here is sample run from rock64 xenial minimal image 0.3.7:
I can't download the PineWifiServer.gz file from the wiki page.
All the links in the Program/Driver section of the Downloads except the first three are not working.
Is there any other place I can get the Wifi Server.
Edit (15/10/2017) Newest pre-release image allows you to set display mode to fix flickering. Check ayufan's git.
It seems that the newest batch (as of 04/08/2017) of Pinebooks shipped with an older Ubuntu image based on 3.10.105-bsp-1.2-ayufan-59 (you can check if your's is running this version by typing uname -a in terminal).
Some Pinebook's experience screen flickering while running this kernel version, which is solved by upgrading to newest release version.
To update your installation navitgate to /usr/local/sbin and run the following update scripts:
For those feeling adventures and who want to try out pre-release images with additional features but also bugs and broken settings please see ayufan's git releases with instructions on how to update.