I'm trying to run jmeter load testing scripts in non GUI mode to generate HTML report with below command
./jmeter.sh -n -t "/home/dsbloadtest/DSB_New_21_01_2022/apache-jmeter-5.4.3/dsb_test_plans/SERVICE_BOOKING.jmx" -l /home/dsbloadtest/DSB_New_21_01_2022/apache-jmeter-5.4.3/dsb_test_results/testresults.csv -e -o /home/dsbloadtest/DSB_New_21_01_2022/apache-jmeter-5.4.3/dsb_test_results/HTMLReports
It was working fine, but now not getting the result as im getting as below
summary = 0 in 00:00:00 = \*\*\*\*\*\*/s Avg: 0 Min: 9223372036854775807 Max: -9223372036854775808 Err: 0 (0.00%)
Tidying up ... # Fri Apr 01 11:22:40 IST 2022 (1648792360414)
Error generating the report: org.apache.jmeter.report.core.SampleException: Could not read metadata !
... end of run
I have tried to generate HTML report in J meter non GUI mode.
summary = 0 in 00:00:00 = ******/s Avg: 0 Min: 9223372036854775807 Max: -9223372036854775808 Err: 0 (0.00%)
it means that JMeter didn't execute any Sampler, your testresults.csv is empty and you don't have any data to generate the dashboard from.
The reason for test failure normally can be figured out from jmeter.log file, the most common mistakes are:
the file referenced in the CSV Data Set Config doesn't exist
the JMeter Plugins used in the test are not installed for this particular JMeter instance
Related
I am currently trying to make a HAAR classifier. I have made an annotation file and have done everything as described in the official openCV tutorial: https://docs.opencv.org/3.3.0/dc/d88/tutorial_traincascade.html .
However, when I try to create the samples with opencv_createsamples, I get an error. My command:
opencv_createsamples -vec /some_dirs/samples/samples.vec -info /some_dirs/annotations/annotations.dat -w 8 -h 8 -num 100
The error:
Info file name: /home/nikifaets/code/pointsProcessing/annotations/annotations.dat
Img file name: (NULL)
Vec file name: /home/nikifaets/code/pointsProcessing/samples/samples.vec
BG file name: (NULL)
Num: 100
BG color: 0
BG threshold: 80
Invert: FALSE
Max intensity deviation: 40
Max x angle: 1.1
Max y angle: 1.1
Max z angle: 0.5
Show samples: FALSE
Width: 8
Height: 8
Max Scale: -1
RNG Seed: 12345
Create training samples from images collection...
OpenCV Error: Assertion failed (ssize.width > 0 && ssize.height > 0) in resize, file /build/opencv/src/opencv-3.4.0/modules/imgproc/src/resize.cpp, line 4044
terminate called after throwing an instance of 'cv::Exception'
what(): /build/opencv/src/opencv-3.4.0/modules/imgproc/src/resize.cpp:4044: error: (-215) ssize.width > 0 && ssize.height > 0 in function resize
Aborted (core dumped)
However, if I try to do only two samples (no idea why exactly 2...), it runs and creates the .vec file, although my dataset includes about 300-400 pictures.
Pastebin of annotations.dat
Thank you in advance for the support!
Solved! Thank to Micka for suggesting a solution and being right. There was an error in the annotations file. One of the descriptions of a point of interest was 0 0 0 0 which is invalid. Always check your files carefully!
I keep getting this error
OpenCV Error: Assertion failed (_img.rows * _img.cols == vecSize) in get, file /build/opencv-SviWsf/opencv-2.4.9.1+dfsg/apps/traincascade/imagestorage.cpp, line 157
terminate called after throwing an instance of 'cv::Exception'
what(): /build/opencv-SviWsf/opencv-2.4.9.1+dfsg/apps/traincascade/imagestorage.cpp:157: error: (-215) _img.rows * _img.cols == vecSize in function get
Aborted (core dumped)
when running opencv_traincascade. I run with these arguments: opencv_traincascade -data data -vec positives.vec -bg bg.txt -numPos 1600 -numNeg 800 -numStages 10 -w 20 -h 20.
My project build is as follows:
workspace
|__bg.txt
|__data/ # where I plan to put cascade
|__info/
|__ # all samples
|__info.lst
|__jersey5050.jpg
|__neg/
|__ # neg images
|__opencv/
|__positives.vec
before I ran opencv_createsamples -img jersey5050.jpg -bg bg.txt -info info/info.lst -maxxangle 0.5 - maxyangle 0.5 -maxzangle 0.5 -num 1800
Not quite sure why I'm getting this error. The images are all converted to greyscale as well. The neg's are sized at 100x100 and jersey5050.jpg is sized at 50x50. I saw someone had a the same error on the OpenCV forums and someone suggested deleting the backup .xml files that are created b OpenCV in case the training is "interrupted". I deleted those and nothing. Please help! I'm using python 3 on mac. I'm also running these commands on an ubuntu server from digitalocean with 2GB of ram but I don't think that's part of the problem.
EDIT
Forgot to mention, after the opencv_createsamples command, i then ran opencv_createsamples -info info/info.lst -num 1800 -w 20 -h20 -vec positives.vec
I solved it haha. Even though I specified in the command the width and height to be 20x20, it changed it to 20x24. So the opencv_traincascade command was throwing an error. Once I changed the width and height arguments in the opencv_traincascade command it worked.
This error is observed when the parameters passed is not matching with the vec file generated, as rightly put by the terminal in this line
Assertion failed (_img.rows * _img.cols == vecSize)
opencv_createsamples displays the parameters passed to it for training. Please verify of the parameters used for creating samples are the same that you passed. I have attached the terminal log for reference.
mayank#mayank-Aspire-A515-51G:~/programs/opencv/CSS/homework/HAAR_classifier/dataset$ opencv_createsamples -info pos.txt -num 235 -w 40 -h 40 -vec positives_test.vec
Info file name: pos.txt
Img file name: (NULL)
Vec file name: positives_test.vec
BG file name: (NULL)
Num: 235
BG color: 0
BG threshold: 80
Invert: FALSE
Max intensity deviation: 40
Max x angle: 1.1
Max y angle: 1.1
Max z angle: 0.5
Show samples: FALSE
Width: 40 <--- confirm
Height: 40 <--- confirm
Max Scale: -1
RNG Seed: 12345
Create training samples from images collection...
Done. Created 235 samples
While setting up the WPS for WRF, i getting the following error while running the file metgrid.exe.
Processing domain 1 of 1
ERROR: GETH_NEWDATE: Strange length for ODATE: 20
application called MPI_Abort(MPI_COMM_WORLD, 0) - process 0
Had this same problem, and realized it was caused by either and extra or missing quote on start_date or end_date in namelist.wps.
What command would give me the output I need for each instance of an error code in a very large log file? The file has records marked by a begin and end with number of characters. Such as:
SR 120
1414760452 0 1 Fri Oct 31 13:00:52 2014 2218714 4
GROVEMR2 scn
../SrxParamIF.m 284
New Exam Started
EN 120
The 5th field is the error code, 2218714 in previous example.
I thought of just grep'ing for the error code and outputting -A lines afterwards; then picking what I needed from that rather than parsing the entire file. That seems easy but my grep/awk/sed usage isn't to that level.
ONLY when error 2274021 is encountered as in the following example I'd like some output as shown.
Show me output such as: egrep ‘Coil:|Connector:|Channels faulted:| First channel:’ ERRORLOG|less
Part of input file of interest:
Mon Nov 24 13:43:37 2014 2274021 1
AWHMRGE3T NSP
SCP:RfHubCanHWO::RfBias 4101
^MException Class: Unknown Severity: Unknown
Function: RF: RF Bias
PSD: VIBRANT Coil: Breast SMI Scan: 1106/14
Coil Fault - Short Circuit
A multicoil bias fault was detected.
.
Connector: Port 1 (P1)
Channels faulted: 0x200
First channel: 10 of 32, counting from 1
Fault value: -2499 mV, Channel: 10->
Output:
Coil: Breast SMI
Connector: Port 1 (P1)
Channels faulted: 0x200
First channel: 10 of 32, counting from 1
Thanks in advance for any pointers!
Try the following (with the convenient adaptations)
#!/usr/bin/perl
use strict;
$/="\nEN "; # register separated by "\nEN "
my $error=2274021; # the error!
while(<>){ # for all registers
next unless /\b$error\b/; # ignore unless error
for my $line ( split(/\n/,$_)){
print "$line\n" if ($line =~ /Coil:|Connector:|Channels faulted:|First channel:/);
}
print "====\n"
}
Is this what you need?
I am trying to compute the eigenvalues of a big matrix on matlab using the parallel toolbox.
I first tried:
A = rand(10000,2000);
A = A*A';
matlabpool open 2
spmd
C = codistributed(A);
tic
[V,D] = eig(C);
time = gop(#max, toc) % Time for all labs in the pool to complete.
end
matlabpool close
The code starts its execution:
Starting matlabpool using the 'local' profile ... connected to 2 labs.
But, after few minutes, I got the following error:
Error using distcompserialize
Out of Memory during serialization
Error in spmdlang.RemoteSpmdExecutor/initiateComputation (line 82)
fcns = distcompMakeByteBufferHandle( ...
Error in spmdlang.spmd_feval_impl (line 14)
blockExecutor.initiateComputation();
Error in spmd_feval (line 8)
spmdlang.spmd_feval_impl( varargin{:} );
I then tried to apply what I saw on tutorial videos from the parallel toolbox:
>> job = createParallelJob('configuration', 'local');
>> task = createTask(job, #eig, 1, {A});
>> submit(job);
waitForState(job, 'finished');
>> results = getAllOutputArguments(job)
>> destroy(job);
But after two hours computation, I got:
results =
Empty cell array: 2-by-0
My computer has 2 Gi memory and intel duoCPU (2*2Ghz)
My questions are the following:
1/ Looking at the first error, I guess my memory is not sufficient for this problem. Is there a way I can divide the input data so that my computer can handle this matrix?
2/ Why is the second result I get empty? (after 2 hours computation...)
EDIT: #pm89
You were right, an error occurred during the execution:
job =
Parallel Job ID 3 Information
=============================
UserName : bigTree
State : finished
SubmitTime : Sun Jul 14 19:20:01 CEST 2013
StartTime : Sun Jul 14 19:20:22 CEST 2013
Running Duration : 0 days 0h 3m 16s
- Data Dependencies
FileDependencies : {}
PathDependencies : {}
- Associated Task(s)
Number Pending : 0
Number Running : 0
Number Finished : 2
TaskID of errors : [1 2]
- Scheduler Dependent (Parallel Job)
MaximumNumberOfWorkers : 2
MinimumNumberOfWorkers : 1