gnuplot autoscale data series on different systems - raspberry-pi

I want to use gnuplot as a plotting engine on a raspberry pi based web server. However, gnuplot seems to behave differently when used on ubuntu 14.04 and raspberry.
Difference seen is in plots built from same data with same (some path modified) command files. Main problem here is on the raspberry pi the x-range is cut off (and artefact points occasionally). The est. last45 minutes are cut of.
Gnuplot is started via python subprocess and when provoked delivers an error message, through appropriate channel, however I am not be seeing error messages regarding the problem.
Any ideas where to start looking ?
Thx !
commands used:
set term png size 1200,800
set output "/var/www/plot.png"
set xdata time
set timefmt "%H:%M:%S"
set format x "%H:%M"
set xrange ["00:00:00":"24:00:00"]
set title "Temperatures as logged 26.06.14"
set xlabel "Uhrzeit [UTC]"
plot "/var/www/plotdat.dat" using 1:2 title "Temp" with line
ubuntu 14.04:
G N U P L O T
Version 4.6 patchlevel 4 last modified 2013-10-02
Build System: Linux i686
raspberry pi
G N U P L O T
Version 4.6 patchlevel 0 last modified 2012-03-04
Build System: Linux armv6l

Related

U-Boot won't take keyboard input from serial Raspberry Pi Model 3 B

I already have a working config for a compute module 3+. As I need the same setup on a raspberry Pi Model 3 B I tried bringing the config over.
Everything is compiled in a buildroot environment. U-Boot v2020.10 is used.
After some small changes regarding the device tree and dtoverlays I managed to get U-Boot to print on the serial console(as expected), but it ignores all keyboard input.
The following output is produced by U-Boot on serial console.
EDIT
I used the term serial very loosely here. I'm connected to the serial console with a serial-USB adapter and picocom. I applied the miniuart-bt overlay to restore /dev/ttyAMA0 respectively UART0 on gpio pins 14/15.
Lastely I configured U-Boot with PL011.
I left out support for mini-uart as this would break the output too.
This configuration works just fine on the compute module, but doen't register input on the model 3B.
EDIT
I moved the working u-boot.bin from the cm 3 to the model B to see what happens. It seemingly works as both are close enough. But the same problem occurs. The other way around though it does not work. So it is potential not a problem with U-Boot but with the Model B configuration.
1 Isa-Boot>·
2
3 U-Boot 2020.10 (Mar 24 2022 - 12:18:38 +0000)
4
5 DRAM: 924 MiB
6 RPI 3 Model B (0xa02082)
7 MMC: mmc#7e202000: 0, sdhci#7e300000: 1
8 In: serial
9 Out: vidconsole
10 Err: vidconsole
11 Hit any key to stop autoboot: 0·
Neither can I stop autoboot nor can I use the shell to complete the boot script.
I tried what feels like a million configurations and I'm out of ideas what could be the reason for this behavior. I also never experienced this with the cm module.
RPi setup config.txt:
enable_uart=1
start_file=start.elf
fixup_file=fixup.dat
kernel=u-boot.bin
gpu_mem=100
dtoverlay=miniuart-bt
dtparam=spi=on
device_tree=bcm2710-rpi-3-b.dtb
dtoverlay=sc16is750-spi0-ce0
U-Boot defconfig:
CONFIG_ARM=y
CONFIG_ARCH_CPU_INIT=y
CONFIG_ARCH_BCM283X=y
CONFIG_SYS_TEXT_BASE=0x00008000
CONFIG_TARGET_RPI_3_32B=y
CONFIG_SYS_MALLOC_F_LEN=0x2000
CONFIG_NR_DRAM_BANKS=1
CONFIG_ENV_SIZE=0x4000
CONFIG_DEFAULT_DEVICE_TREE="bcm2837-rpi-3-b"
CONFIG_DISTRO_DEFAULTS=y
CONFIG_OF_BOARD_SETUP=y
CONFIG_SYS_STDIO_DEREGISTER=y
CONFIG_MISC_INIT_R=y
# CONFIG_DISPLAY_CPUINFO is not set
# CONFIG_DISPLAY_BOARDINFO is not set
CONFIG_SYS_PROMPT="Isa-Boot> "
CONFIG_CMD_GPIO=y
CONFIG_CMD_MMC=y
CONFIG_CMD_USB=y
CONFIG_CMD_FS_UUID=y
CONFIG_OF_EMBED=y
# CONFIG_ENV_IS_IN_FAT is not set
CONFIG_SYS_RELOC_GD_ENV_ADDR=y
CONFIG_ENV_VARS_UBOOT_RUNTIME_CONFIG=y
# CONFIG_NET is not set
CONFIG_DM_MMC=y
# CONFIG_MMC_HW_PARTITIONING is not set
CONFIG_MMC_SDHCI=y
CONFIG_MMC_SDHCI_BCM2835=y
CONFIG_DM_ETH=y
CONFIG_PINCTRL=y
# CONFIG_PINCTRL_GENERIC is not set
# CONFIG_REQUIRE_SERIAL_CONSOLE is not set
# CONFIG_BCM283X_MU_SERIAL is not set
CONFIG_USB=y
CONFIG_DM_USB=y
CONFIG_DM_VIDEO=y
# CONFIG_VIDEO_BPP8 is not set
# CONFIG_VIDEO_BPP16 is not set
CONFIG_SYS_WHITE_ON_BLACK=y
CONFIG_CONSOLE_SCROLL_LINES=10
CONFIG_PHYS_TO_BUS=y
CONFIG_OF_LIBFDT_OVERLAY=y
From U-boot documentation, "U-boot Environment Variables":
bootdelay: After reset, U-Boot will wait this number of seconds before it executes the contents of the bootcmd variable. During this time a countdown is printed, which can be interrupted by pressing any key.
Set this variable to 0 boot without delay. Be careful: depending on the contents of your bootcmd variable, this can prevent you from entering interactive commands again forever!
Is this value 0 in your case?

Program and Run PIC18 with pickit4 on linux

I am on linux ubuntu and target is a PIC18F47J53.
I basically want to program the chip and then let it run, using command lines and using pickit4.
using ipecmd (from mplab x ide v5.45), this is my command:
/opt/microchip/mplabx/v5.45/sys/java/zulu8.40.0.25-ca-fx-jre8.0.222-linux_x64/bin/java -jar /opt/microchip/mplabx/v5.45/mplab_platform/mplab_ipe/ipecmd.jar -TPPK4 /P18F47J53 -M -F"/path_to_myfile.hex" -W
This is my output
DFP Version Used : PIC18F-J_DFP,1.4.41,Microchip
*****************************************************
Connecting to MPLAB PICkit 4...
Currently loaded versions:
Application version............00.06.66
Boot version...................01.00.00
Script version.................00.04.17
Script build number............db473af2f4
Tool pack version .............1.6.961
PICkit 4 is supplying power to the target (3.25 volts).
Target device PIC18F47J53 found.
Device Revision Id = 0x1
*****************************************************
Calculating memory ranges for operation...
Erasing...
The following memory area(s) will be programmed:
program memory: start address = 0x0, end address = 0x3ff
program memory: start address = 0x1fc00, end address = 0x1fff7
configuration memory
Programming/Verify complete
Program Report
30-Jan-2021, 12:54:41
Device Type:PIC18F47J53
Program Succeeded.
Operation Succeeded
All good, and takes about 12 seconds, however, after that the pickit4 turns off the power target, and the pickit LED is BLUE (I guess state "ready")
The main question is how can I let the pickit4 powering the boards? any specific parameter? (I cannot find on the readme.html)
If I use MPLAB X IPE GUI to program, the programming is much quicker (3 or 4 seconds), the pickit LED is YELLOW and the target is left powered on. (I selected "release from reset")
I have tried to get the log out with as many details as possible, but I cannot see the commands sent to the pickit4.
Any idea? thanks
I realize that it's been a while since you asked, but i put the answer here for anyone who needs it. Add -OL to your command line options.

autoKey gtk 0.95.10 Icon get red an autoKey freezing

autoKey often stops working if i press my script shortcut F12
about every 70%. And about every 50% of them the icon gets red and autoKey is freezing. CPU load grows a little bit.
Its difficult to say what may the reason it.
The script (gist is a bit large. About 500 lines and offered on github.
I debug by sending while i recording my desktop to video file (youtub LKl4Ufhh3P8 ).
it open via wine a menu (autoHotKey script called lintalist) and catches the changed clipboard and writes it out.
When I restart the autoKey script it runs a couple of times (maybe three or five times). I inserted 100 milliseconds as a pause at various points. Since then, I don't have to restart the operating system, only kill the script when it freezes.
any idea what to try?
for debugging i use such little helpers:
import subprocess
doPopupNotify_howItWorks_counter = 0
doPopupNotify_howItWorks_firstNr = 15
doPopupNotify_howItWorks = True
def popupNotify(text):
subprocess.Popen(['notify-send', text]) # will be showed right top
def popupNotify_howItWorks(text):
global doPopupNotify_howItWorks, doPopupNotify_howItWorks_counter
if not doPopupNotify_howItWorks:
return
doPopupNotify_howItWorks_counter = doPopupNotify_howItWorks_counter + 1
if doPopupNotify_howItWorks_counter < doPopupNotify_howItWorks_firstNr:
return
subprocess.Popen(['notify-send', str(doPopupNotify_howItWorks_counter) + ") " + text]) # will be showed right top
time.sleep(.2)
System
Operating System: Kubuntu 20.04
KDE Plasma Version: 5.18.5
KDE Frameworks Version: 5.68.0
Qt Version: 5.12.8
Kernel Version: 5.4.0-52-generic
OS Type: 64-bit
autoKey gtk 0.95.10
These problems have not disappeared for a few days as a result of the following changes:
The solution described above uses the clipboard and keyboard together with Linux and Windows (Wine) conveyed via two scripting languages.
Apps:
clipboard ⇄ AutKey ⇄ AutoHotKey ⇄ Lintalist
operating systems:
clipboard ⇄ Kubuntu ⇄ WineHQ 1
Errors are more common in non-closed systems. Therefore, for example, such errors are typical (still open problem at 2020:11:12 in autokey):
"Hotkeys get lost when triggered frequently"
change from autokey-gtk to autokey-qt for systems using a Qt-based desktop environment such as KDE Plasma, Lumina, etc. For that there are different possibilities (github: install using pip3). I've used i used:
sudo apt-get remove --auto-remove autokey-gtk
sudo apt -y install autokey-qt
changed in AHK-Souce
ClipboardFirst := RTrim(LTrim(Clipboard, " `n`t:")," `n`t")
to
ClipboardFirst := RTrim(LTrim(Clipboard, " `n`t`r:")," `n`t`r")
The autokey icon still sometimes turns red, but the CPU load does not grow much and the system no longer freezes.
1: Wine is a free implementation of Windows on Linux.
Kubuntu Version 20.04
AutoKey Version 0.95.10
Python Version 3.8.5 (default, Jul 28 2020, 12:59:40) [GCC 9.3.0]
wine-5.0.1

VcXsrv WSL X server closes unexpectedly. Do I need to disable GPU?

I am trying to run some code with pybullet. I am on windows 10, have the latest vscode, and I am using WSL remote on vscode with ubuntu 18.04 LTS. I have a GTX 2070 graphics card. I just want to see this work, I've been trying to fix it for the last 3 hours.
First, here is the code I am trying to run in WSL:
import numpy as np
import pybullet as pb
physicsClient = pb.connect (pb.GUI)
#load plane
import pybullet_data
pb.setAdditionalSearchPath(pybullet_data.getDataPath())
planeId = pb.loadURDF('plane.urdf')
#load visual shape
visualShapeId = pb.createVisualShape(
shapeType=pb.GEOM_MESH,
fileName='random_urdfs/000/000.obj',
rgbaColor=None,
meshScale=[0.1, 0.1, 0.1])
collisionShapeId = pb.createCollisionShape(
shapeType=pb.GEOM_MESH,
fileName='random_urdfs/000/000_coll.obj',
meshScale=[0.1, 0.1, 0.1])
multiBodyId = pb.createMultiBody(
baseMass=1.0,
baseCollisionShapeIndex=collisionShapeId,
baseVisualShapeIndex=visualShapeId,
basePosition=[0, 0, 1],
baseOrientation=pb.getQuaternionFromEuler([0, 0, 0]))
I get no errors, but the X server window will pop up (black) and close immediately. I read that you need to disable your GPU with WSL, but I am scared of messing up my PC. I would only want to disable it for when I need to see graphics / use the X server, not for all WSL applications.
Here is what shows in my bash script:
user#DESKTOP-######:~/program$ python3 openAI.py
pybullet build time: Sep 22 2020 00:54:31
startThreads creating 1 threads.
starting thread 0
started thread 0
argc=2
argv[0] = --unused
argv[1] = --start_demo_name=Physics Server
ExampleBrowserThreadFunc started
X11 functions dynamically loaded using dlopen/dlsym OK!
X11 functions dynamically loaded using dlopen/dlsym OK!
Creating context
Failed to create GL 3.3 context ... using old-style GLX context
Indirect GLX rendering context obtained
Making context current
GL_VENDOR=NVIDIA Corporation
GL_RENDERER=GeForce RTX 2070 SUPER/PCIe/SSE2
GL_VERSION=1.4 (4.6.0 NVIDIA 451.67)
GL_SHADING_LANGUAGE_VERSION=(null)
pthread_getconcurrency()=0
Version = 1.4 (4.6.0 NVIDIA 451.67)
Vendor = NVIDIA Corporation
Renderer = GeForce RTX 2070 SUPER/PCIe/SSE2
Segmentation fault (core dumped)
user#DESKTOP-######:~/program$
#Emilio, I have got this working without any changes to the GPU, using the following process:
I used the VcXsrv application set up in the same way as this tutorial : https://jack-kawell.com/2020/06/12/ros-wsl2/ where crucially Native openGL is unchecked.
Export your ip address as in the tutorial, however instead of 'export DISPLAY={your_ip_address}:0.0', go to the VcXsrv window (which should be blank at this point) and replace :0.0 with whatever number of display is given. So for Display DESKTOP-1234AB:1.0 you would enter 'export DISPLAY={your_ip_address}:1.0'
In the linux terminal enter: export LIBGL_ALWAYS_INDIRECT=0
You can check that this has made an effect by entering: glxinfo
Which should print out:
direct rendering: yes
When you run your python program it should open up in the VcXsrv window. For me there was no cursor visible but I could still interact with the object as if I did have a cursor.

How Can I use my GPU on Ipython Notebook?

OS : Ubuntu 14.04LTS
Language : Python Anaconda 2.7 (keras, theano)
GPU : GTX980Ti
CUDA : CUDA 7.5
I wanna run keras python code on IPython Notebook by using my GPU(GTX980Ti)
But I can't find it.
I want to test below code. When I run it on to Ubuntu terminal,
I command as below (It uses GPU well. It doesn't have any problem)
First I set the path like below
export PATH=/usr/local/cuda/bin:$PATH
export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH
Second I run the code as below
THEANO_FLAGS='floatX=float32,device=gpu0,nvcc.fastmath=True' python myscript.py
And it runs well.
But when i run the code on pycharm(python IDE) or
When I run it on Ipython Notebook, It doesn't use gpu.
It only uses CPU
myscript.py code is as below.
from theano import function, config, shared, sandbox
import theano.tensor as T
import numpy
import time
vlen = 10 * 30 * 768 # 10 x #cores x # threads per core
iters = 1000
rng = numpy.random.RandomState(22)
x = shared(numpy.asarray(rng.rand(vlen), config.floatX))
f = function([], T.exp(x))
print(f.maker.fgraph.toposort())
t0 = time.time()
for i in xrange(iters):
r = f()
t1 = time.time()
print("Looping %d times took %f seconds" % (iters, t1 - t0))
print("Result is %s" % (r,))
if numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]):
print('Used the cpu')
else:
print('Used the gpu')
To solve it, I force the code use gpu as below
(Insert two lines more on myscript.py)
import theano.sandbox.cuda
theano.sandbox.cuda.use("gpu0")
Then It generate the error like below
ERROR (theano.sandbox.cuda): nvcc compiler not found on $PATH. Check your nvcc installation and try again.
how to do it??? I spent two days..
And I surely did the way of using '.theanorc' file at home directory.
I'm using theano on an ipython notebook making use of my system's GPU. This configuration seems to work fine on my system.(Macbook Pro with GTX 750M)
My ~/.theanorc file :
[global]
cnmem = True
floatX = float32
device = gpu0
Various environment variables (I use a virtual environment(macvnev):
echo $LD_LIBRARY_PATH
/opt/local/lib:
echo $PATH
/Developer/NVIDIA/CUDA-7.5/bin:/opt/local/bin:/opt/local/sbin:/Developer/NVIDIA/CUDA-7.0/bin:/Users/Ramana/projects/macvnev/bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin
echo $DYLD_LIBRARY_PATH
/Developer/NVIDIA/CUDA-7.5/lib:/Developer/NVIDIA/CUDA-7.0/lib:
How I run ipython notebook (For me, the device is gpu0) :
$THEANO_FLAGS=mode=FAST_RUN,device=gpu0,floatX=float32 ipython notebook
Output of $nvcc -V :
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2015 NVIDIA Corporation
Built on Thu_Sep_24_00:26:39_CDT_2015
Cuda compilation tools, release 7.5, V7.5.19
From your post, probably you've set the $PATH variable wrong.