I am trying to emulate some router I found online (just for practice), and this router runs u-boot as a bootloader.
I want to understand how to use qemu and u-boot to create a linux-embedded machine.
Inside u-boot there's a doc that explains exactly how to run a linux-embedded system using qemu and u-boot. (u-boot/doc/board/emulation/qemu_mips.rst).
The following quote is stage 6 of that documentation:
Generate Ide Disk
# dd of=ide bs=1k cout=100k if=/dev/zero
# sfdisk -C 261 -d ide
# partition table of ide
unit: sectors
ide1 : start= 63, size= 32067, Id=83
ide2 : start= 32130, size= 32130, Id=83
ide3 : start= 64260, size= 4128705, Id=83
ide4 : start= 0, size= 0, Id= 0
To be clear, this is a copy paste from the documentation file.
The problem is, that sfdisk does not have a -C argument, so that the sfdisk command is invalid.
Has anyone encountered that and has a solution?
Thanks!
You can use the following commands to create the partitioned disk image:
dd of=ide bs=1k count=100k if=/dev/zero
# Create partion table
sudo sfdisk ide << EOF
label: dos
label-id: 0x6fe3a999
device: image
unit: sectors
image1 : start= 63, size= 32067, Id=83
image2 : start= 32130, size= 32130, Id=83
image3 : start= 64260, size= 4128705, Id=83
EOF
I have posted a patch to correct the documentation: https://lists.denx.de/pipermail/u-boot/2020-January/395133.html
You can download it via the mbox link from https://patchwork.ozlabs.org/patch/1216937
Related
I am trying to use this pandoc filter to convert markdown to HTML.
This is the example file:
gantt
dateFormat YYYY-MM-DD
title Adding GANTT diagram functionality to mermaid
section A section
Completed task :done, des1, 2014-01-06,2014-01-08
Active task :active, des2, 2014-01-09, 3d
Future task : des3, after des2, 5d
Future task2 : des4, after des3, 5d
section Critical tasks
Completed task in the critical line :crit, done, 2014-01-06,24h
Implement parser and jison :crit, done, after des1, 2d
Create tests for parser :crit, active, 3d
Future task in critical line :crit, 5d
Create tests for renderer :2d
Add to mermaid :1d
This is the command that I am running:
pandoc file.md -f markdown -o out.html --filter=pandoc-mermaid
This is the error message:
File "D:\Anaconda3\lib\runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "D:\Anaconda3\lib\runpy.py", line 87, in _run_code
exec(code, run_globals)
File "D:\Anaconda3\Scripts\pandoc-mermaid.exe\__main__.py", line 7, in <module>
File "D:\Anaconda3\lib\site-packages\pandoc_mermaid_filter.py", line 38, in main
toJSONFilter(mermaid)
File "D:\Anaconda3\lib\site-packages\pandocfilters.py", line 130, in toJSONFilter
toJSONFilters([action])
File "D:\Anaconda3\lib\site-packages\pandocfilters.py", line 164, in toJSONFilters
sys.stdout.write(applyJSONFilters(actions, source, format))
File "D:\Anaconda3\lib\site-packages\pandocfilters.py", line 195, in applyJSONFilters
altered = walk(altered, action, format, meta)
File "D:\Anaconda3\lib\site-packages\pandocfilters.py", line 123, in walk
return {k: walk(v, action, format, meta) for k, v in x.items()}
File "D:\Anaconda3\lib\site-packages\pandocfilters.py", line 123, in <dictcomp>
return {k: walk(v, action, format, meta) for k, v in x.items()}
File "D:\Anaconda3\lib\site-packages\pandocfilters.py", line 110, in walk
res = action(item['t'],
File "D:\Anaconda3\lib\site-packages\pandoc_mermaid_filter.py", line 31, in mermaid
subprocess.check_call([MERMAID_BIN, "-i", src, "-o", dest])
File "D:\Anaconda3\lib\subprocess.py", line 359, in check_call
retcode = call(*popenargs, **kwargs)
File "D:\Anaconda3\lib\subprocess.py", line 340, in call
with Popen(*popenargs, **kwargs) as p:
File "D:\Anaconda3\lib\subprocess.py", line 858, in __init__
self._execute_child(args, executable, preexec_fn, close_fds,
File "D:\Anaconda3\lib\subprocess.py", line 1311, in _execute_child
hp, ht, pid, tid = _winapi.CreateProcess(executable, args,
FileNotFoundError: [WinError 2] El sistema no puede encontrar el archivo especificado
Error running filter pandoc-mermaid:
Filter returned error status 1
The folder where the executable is located is apparently added to path. Any ideas on how I could fix it?
Specifications:
Windows 10 Home
pandoc 2.14.0.1
Thanks
Not solving the problem but providing a different way to achieve the same and in case it's useful to others who arrive here:
Mermaid-cli has the feature to act as a preprocessor for Markdown.
As such, you can do the following:
mkdir build
npx -p #mermaid-js/mermaid-cli mmdc -i file.md -o build/output-svg.md
# Generates lots of output-svg-1.svg files linked from the doc
cd build
pandoc output-svg.md -o output.html
It defaults to SVG images (which generally works fine for HTML but fails when targeting PDF). It has a less well documented feature to force PNG generation.
npx -p #mermaid-js/mermaid-cli mmdc -i file.md --outputFormat=png -o build/output-png.md
# Generates lots of output-png-1.png files linked from the doc
cd build
pandoc output-png.md -o output.pdf
I found success with the NPM library which adds a similar Mermaid filter for Pandoc: raghur/mermaid-filter.
You should be able to do:
pandoc file.md -f markdown -o out.html --filter=mermaid-filter
IMPORTANT: On Windows, you need to specify the filter as --filter mermaid-filter.cmd instead of --filter mermaid-filter (I missed this at first and was very confused)
I am trying to train a model using Yolo V5.
I have the issue of Data base not found.
I have a train, test and valid files that contain all the image and labels files.
I have tested the files on googlecolap and it dose work. However, on my local machine it shows the issue of Exception: Dataset not found.
(Yolo_5) D:\\YOLO_V_5\Yolo_V5\yolov5>python train.py --img 416 --batch 8 --epochs 100 --data /data.yaml --cfg models/yolov5s.yaml --weights '' --name yolov5s_results --cache
Using torch 1.7.0 CUDA:0 (GeForce GTX 1080, 8192MB)
Namespace(adam=False, batch_size=8, bucket='', cache_images=True, cfg='models/yolov5s.yaml', data='.\\data.yaml', device='', epochs=100, evolve=False, exist_ok=False, global_rank=-1, hyp='data/hyp.scratch.yaml', image_weights=False, img_size=[416, 416], local_rank=-1, log_imgs=16, multi_scale=False, name='yolov5s_results', noautoanchor=False, nosave=False, notest=False, project='runs/train', rect=False, resume=False, save_dir='runs\\train\\yolov5s_results55', single_cls=False, sync_bn=False, total_batch_size=8, weights="''", workers=16, world_size=1)
Start Tensorboard with "tensorboard --logdir runs/train", view at http://localhost:6006/
Hyperparameters {'lr0': 0.01, 'lrf': 0.2, 'momentum': 0.937, 'weight_decay': 0.0005, 'warmup_epochs': 3.0, 'warmup_momentum': 0.8, 'warmup_bias_lr': 0.1, 'box': 0.05, 'cls': 0.5, 'cls_pw': 1.0, 'obj': 1.0, 'obj_pw': 1.0, 'iou_t': 0.2, 'anchor_t': 4.0, 'anchors': 3, 'fl_gamma': 0.0, 'hsv_h': 0.015, 'hsv_s': 0.7, 'hsv_v': 0.4, 'degrees': 0.0, 'translate': 0.1, 'scale': 0.5, 'shear': 0.0, 'perspective': 0.0, 'flipud': 0.0, 'fliplr': 0.5, 'mosaic': 1.0, 'mixup': 0.0}
WARNING: Dataset not found, nonexistent paths: ['D:\\me1eye\\Yolo_V5\\valid\\images']
Traceback (most recent call last):
File "train.py", line 501, in <module>
train(hyp, opt, device, tb_writer, wandb)
File "train.py", line 78, in train
check_dataset(data_dict) # check
File "D:\me1eye\YOLO_V_5\Yolo_V5\yolov5\utils\general.py", line 92, in check_dataset
raise Exception('Dataset not found.')
Exception: Dataset not found.
Internal process exited
(Olive_Yolo_5) D:\me1eye\YOLO_V_5\Yolo_V5\yolov5>
there is a much simpler solution. Just go into data.yaml wherever you saved it and change the relative paths to absolut - i.e. just write the whole path! e.g.
train: C:\hazlab\BCCD\train\images
val: C:\hazlab\BCCD\valid\images
nc: 3
names: ['Platelets', 'RBC', 'WBC']
job done - note, as you are in Windows, there is a known issue in the invocation of tain.py - do not use quotes on the file names in the CLI e.g.
!python train.py --img 416 --batch 16 --epochs 100 --data C:\hazlab\BCCD\data.yaml --cfg ./models/custom_yolov5s.yaml --weights '' --name yolov5s_results --cache
Well! I have also encountered this problem and now I fix it.
All you have to do is to keep train, test, validation (these three folders containing images and labels), and yolov5 folder (that is cloned from GitHub) in the same directory. Also, another thing is that the 'data.yaml' file has to be inside the yolov5 folder.
Command to train the model would be like this:
!python train.py --img 416 --batch 16 --epochs 10 --data ./data.yaml --cfg ./models/yolov5m.yaml --weights '' --name yolov5m_results
The issue is due to not found actual dataset path. I found same issue when i trained the Yolov5 model on custom dataset using google colab, I did the following to resolve this.
Make sure provide correct path of data.yaml of dataset.
Make sure path of dataset in data.yaml should be be corrected.
train, test, and valid key should contain path with respect to the main path of the dataset.
Example data.yaml file given below.
path: /content/drive/MyDrive/car-detection-dataset
train: train/images
val: valid/images
test: test/images
nc: 1
names: ['car']
Sudo-code:
function findAllPaths(allStarts){
function makePath(start){
var path = [{"1,1" : 1}, {"1,2" : 2}, {"2,2" : 3},{"2,1" : 4}]
return path;
}
var solutions = [];
for(i=0;i<allStarts.length;i++){
solutions.push(makePath(allStarts[i]));
}
return solutions;
}
console.log(findAllPaths(1,1));
// Every time the code runs, it outputs thousands to millions of paths.
Is there a way to run a js script directly in mongo?
My JS file generates a JSON object with results. I tried running the script in node, saving the output to a .txt file. Eventually it terminated with the error:
<--- Last few GCs --->
100501 ms: Scavenge 1413.8 (1457.9) -> 1413.8 (1457.9) MB, 30.1 / 0
ms (+ 3.4 ms in 1 steps since last GC) [allocation failure]
[incremental marking delaying mark-sweep]. 102369 ms: Mark-sweep
1413.8 (1457.9) -> 1413.8 (1457.9) MB, 1867.8 / 0 ms (+ 4.1 ms in 2 steps since start of marking, biggest step 3.4 ms) [last resort gc].
104270 ms: Mark-sweep 1413.8 (1457.9) -> 1413.8 (1457.9) MB, 1901.7 /
0 ms [last resort gc].
<--- JS stacktrace --->
==== JS stack trace =========================================
Security context: 0x1b9a709b4629
1: setPrototypeOf [native v8natives.js:~653] [pc=0x196157b79485] (this=0x1b9a70990fa9 ,J=0x1ba6e8004101 ,am=0xb24ead25bf9 )
2: log [console.js:~35] [pc=0x196157b784e8] (this=0x38b6577c5a19 )
3: arguments adaptor frame: 1...
Instead of using an output file, I would like to save my JSON to mongodb. Is it possible to do this without first running the code in Node?
There are two options: you can use Mongo Shell scripts or Node.js scripts.
A Mongo Shell script can be run in Mongo Shell directly or loaded there from a file.
In a Node.js script you can use one of the MongoDB packages or an official driver.
octave 3.8.2 produces this error on loading:
error: /usr/lib64/octave/3.8.2/oct/x86_64-pc-linux-gnu/PKG_ADD: /usr/lib64/octave/3.8.2/oct/x86_64-pc-linux-gnu/__init_fltk__.oct: failed to load: /usr/lib64/fltk/libfltk_gl.so.1.3: undefined symbol: XGetUtf8FontAndGlyph
error: called from:
error: /usr/lib64/octave/3.8.2/oct/x86_64-pc-linux-gnu/PKG_ADD at line 6, column 1
GNU Octave, version 3.8.2
I obtain the following information about configuration of graphics libraries
octave:1> octave_config_info().GRAPHICS_LIBS
ans = -L/usr/lib64/fltk -Wl,-rpath,/usr/lib64/fltk -Wl,-O1 -Wl,--sort-common -Wl,--as-needed -lfltk_gl -lGLU -lGL -lfltk -lXcursor -lXfixes -lXext -ldl -lm -lX11
and although no graphic toolkits are evidently loaded initially,
octave:2> available_graphics_toolkits
ans = {}(1x0)
I can register them subsequently,
octave:3> register_graphics_toolkit("gnuplot")
octave:4> available_graphics_toolkits
ans =
{
[1,1] = gnuplot
}
octave:5> register_graphics_toolkit("fltk")
octave:6> available_graphics_toolkits
ans =
{
[1,1] = fltk
[1,2] = gnuplot
}
but attempting to load fltk produces an error consistent with the initial warning
octave:7> graphics_toolkit("fltk")
error: feval: /usr/lib64/octave/3.8.2/oct/x86_64-pc-linux-gnu/__init_fltk__.oct: failed to load: /usr/lib64/fltk/libfltk_gl.so.1.3: undefined symbol: XGetUtf8FontAndGlyph
error: called from:
error: /usr/share/octave/3.8.2/m/plot/util/graphics_toolkit.m at line 74, column 5
and of course attempting to plot anything also fails,
octave:8> plot(1:10)
error: feval: /usr/lib64/octave/3.8.2/oct/x86_64-pc-linux-gnu/__init_fltk__.oct: failed to load: /usr/lib64/fltk/libfltk_gl.so.1.3: undefined symbol: XGetUtf8FontAndGlyph
error: called from:
error: /usr/share/octave/3.8.2/m/plot/util/graphics_toolkit.m at line 74, column 5
error: failed to load fltk graphics toolkit
error: base_graphics_toolkit::initialize: invalid graphics toolkit
error: /usr/share/octave/3.8.2/m/plot/util/figure.m at line 94, column 9
error: /usr/share/octave/3.8.2/m/plot/util/gcf.m at line 63, column 9
error: /usr/share/octave/3.8.2/m/plot/util/newplot.m at line 113, column 8
error: /usr/share/octave/3.8.2/m/plot/draw/plot.m at line 219, column 9
Both octave and fltk were compiled from source under gentoo:
x11-libs/fltk-1.3.3-r2:1 USE="opengl -cairo -debug -doc -examples -games -pdf -static-libs -threads -xft -xinerama"
sci-mathematics/octave-3.8.2:0/3.8.2 USE="X doc glpk gnuplot gui imagemagick opengl qhull qrupdate readline sparse zlib -curl -fftw -hdf5 -java -jit -postscript -static-libs"
resulting in configure switches of (for the fltk library):
./configure --prefix=/usr --build=x86_64-pc-linux-gnu --host=x86_64-pc-linux-gnu --mandir=/usr/share/man --infodir=/usr/share/info --datadir=/usr/share --sysconfdir=/etc --localstatedir=/var/lib --includedir=/usr/include/fltk --libdir=/usr/lib64/fltk --docdir=/usr/share/doc/fltk-1.3.3-r2/html --enable-largefile --enable-shared --enable-xdbe --disable-localjpeg --disable-localpng --disable-localzlib --disable-debug --disable-cairo --enable-gl --disable-threads --disable-xft --disable-xinerama
and (for octave)
./configure --prefix=/usr --build=x86_64-pc-linux-gnu --host=x86_64-pc-linux-gnu --mandir=/usr/share/man --infodir=/usr/share/info --datadir=/usr/share --sysconfdir=/etc --localstatedir=/var/lib --libdir=/usr/lib64 --disable-silent-rules --disable-dependency-tracking --docdir=/usr/share/doc/octave-3.8.2 --enable-shared --disable-static --localstatedir=/var/state/octave --with-blas=-L/usr/lib64/blas/reference -lblas --with-lapack=-llapack -L/usr/lib64/blas/reference -lblas --enable-docs --disable-java --enable-gui --disable-jit --enable-readline --without-curl --without-fftw3 --without-fftw3f --disable-fftw-threads --with-glpk --without-hdf5 --with-opengl --with-qhull --with-qrupdate --with-arpack --with-umfpack --with-colamd --with-ccolamd --with-cholmod --with-cxsparse --with-x --with-z --with-magick=GraphicsMagick
If I examine libfltk_gl.so.1.3 with nm, I see that the following symbols are exported:
$ nm -D /usr/lib64/fltk/libfltk_gl.so.1.3
U XCreateColormap
U XGetUtf8FontAndGlyph
w _ITM_deregisterTMCloneTable
w _ITM_registerTMCloneTable
w _Jv_RegisterClasses
U _Z10fl_measurePKcRiS1_i
000000000000e170 T _Z10gl_descentv
000000000000e590 T _Z10gl_measurePKcRiS1_
... <snip>
According to nm manual, the U designates that the symbol is global (external) but unknown. My question is whether this unknown symbol status is the origin of the error reported from octave, suggesting that the problem lies with how fltk was compiled, or whether the octave compilation is somehow at fault.
Edit: Solved by enabling Xft support: Please see comments below, and I thank Andy again for his help.
XGetUtf8FontAndGlyph should be in libfltk.so.1.3.
nm -D /usr/lib/x86_64-linux-gnu/libfltk.so.1.3 |grep XGetU
00000000000c2fc0 T XGetUtf8FontAndGlyph
It's very likely that this is a problem with your configure flags for fltk and not GNU Octave. Just try it with the default settings first.
You can test if the UTF8 stuff with OpenGL is okay with the "cube" test. Just digg into the fltk-source dir tests:
cd fltk-1.3.3/test
make cube && ./cube
Does the text in the lower left of the GL window show up?
Had a similar problem. Was getting the following error while trying to run octave (undefined symbol: _ZN18Fl_XFont_On_Demand5valueEv):
bash-4.3$ octave
error: /usr/local/lib/octave/4.0.2/oct/i686-pc-linux-gnu/PKG_ADD: /usr/local/lib/octave/4.0.2/oct/i686-pc-linux-gnu/__init_fltk__.oct: failed to load: /usr/lib/libfltk_gl.so.1.3: undefined symbol: _ZN18Fl_XFont_On_Demand5valueEv
error: called from
/usr/local/lib/octave/4.0.2/oct/i686-pc-linux-gnu/PKG_ADD at line 3 column 1
Command nm -D /usr/lib/libfltk_gl.so.1.3 showed that symbol _ZN18Fl_XFont_On_Demand5valueEv is undefined (with U):
0000a3d4 T _ZN14Fl_Glut_WindowD1Ev
0000a3d4 T _ZN14Fl_Glut_WindowD2Ev
U _ZN18Fl_Font_DescriptorD1Ev
U _ZN18Fl_Graphics_Driver11clip_regionEP8_XRegion
U _ZN18Fl_XFont_On_Demand5valueEv
The solution was to apply a patch file mentioned here to some files inside source directory of FLTK-1.3.3 and then recompile and reinstall FLTK. Now octave works with FLTK without any problem.
i am new for scala .and trying to execute swing application.
I am using scala 2.8
I have compiled the program successfully but..
while executing it is showing the error like no such file..
can any 1 please help me out?
i m providing the code i am trying to execute.
Gui.scala
import swing._
object Gui extends SimpleSwingApplication
{
def top=new MainFrame {
title="swing"
val b1=new Button{
text = "ok"
}
}
}
scalac Gui.scala
it compiles successfully and create class file
but when I try
scala Gui
it just replies
No such File
Setup:
D:\src\scala_ex\ex1>dir
Volume in drive D is Data
Volume Serial Number is 5C88-8D6C
Directory of D:\src\scala_ex\ex1
01.12.2010 09:25 <DIR> .
01.12.2010 09:25 <DIR> ..
01.12.2010 09:24 173 gui.scala
1 File(s) 173 bytes
2 Dir(s) 24 575 205 376 bytes free
D:\src\scala_ex\ex1>more gui.scala
import swing._
object Gui extends SimpleSwingApplication {
def top = new MainFrame {
title = "swing"
val b1 = new Button{
text = "ok"
}
}
}
D:\src\scala_ex\ex1>scalac -version
Scala compiler version 2.8.1.final -- Copyright 2002-2010, LAMP/EPFL
Compile:
D:\src\scala_ex\ex1>scalac gui.scala
D:\src\scala_ex\ex1>dir
Volume in drive D is Data
Volume Serial Number is 5C88-8D6C
Directory of D:\src\scala_ex\ex1
01.12.2010 09:26 <DIR> .
01.12.2010 09:26 <DIR> ..
01.12.2010 09:26 485 Gui$$anon$1$$anon$2.class
01.12.2010 09:26 557 Gui$$anon$1.class
01.12.2010 09:26 558 Gui$.class
01.12.2010 09:26 1 467 Gui.class
01.12.2010 09:24 173 gui.scala
5 File(s) 3 240 bytes
2 Dir(s) 24 575 201 280 bytes free
Execute:
D:\src\scala_ex\ex1>scala -cp . Gui
And the applications starts.
This is not a direct cut&paste from the Scala code, as the blank line between object Gui and { causes a compilation error.
Now, if you fix that error and compile this with Scala 2.8, you should get these classes in the local directory:
Gui$$anon$1$$anon$2.class
Gui$$anon$1.class
Gui$.class
Gui.class
If you don't, then either the compilation did not work, or there's something else missing. For example, if you declared a package X at the top (and removed it from the example), then Gui won't be in the local directory, but under a subdirectory X, and you should invoke it by typing scala X.Gui.
Another possibility is that you have some Java environment variable pointing the output directory to someplace else.