I am having quite a bit of trouble updating a string using a push button in my created matlab GUI. The goal would be to have this button preform a function on an image, whose string has been placed in a textbox on the GUI, then replace the old string with the new image's string
The main issue that I have run into is that I need the file to be in .raw format, but I am unable to figure out how I would accomplish that. I can replace the old string with a new string in .png format with the following code by adding it the guide GUI code.
handles.currentImage = imread(get(handles.Textbox1,'string'));
handles.currentImage = Addnoise(handles.currentImage); %addnoise is the function i created.
imwrite(handles.currentImage, 'photonoise', 'png');
pathname = 'C:\Documents and Settings\staff\My Documents\MATLAB\photonoise.png';
set(handles.Textbox1, 'string', fullfile(pathname));
But i am totally lost on how to make the string format a .raw. If there is some code I do not know about that i need to add to the GUI or to the Addnoise function, please let me know, I would greatly appreciate it.
Since .raw images are not supported by imwrite, you won't be able to use it. However, since .raw is a image format that isn't compressed this can be easily done using fwrite.
Here's an example using a 300 x 100 matrix of just zeroes (black):
cmodel=(zeros(300,100,1));
fid=fopen('blackimage.raw','w+');
cnt=fwrite(fid,cmodel,'uint8');
fclose(fid);
so in your case you'll need to modify this to the following:
fid=fopen('myimage.raw','w+');
cnt=fwrite(fid,handles.currentImage,'uint8');
fclose(fid);
Warning: my knowledge of the .raw format is pretty limited as well as imread so please take this with a grain (maybe even a cube) of salt
Related
I'm trying to find a possible way to convert PSS/E native .raw files to Pandapower format.
My objective is to take advantage of the network plotting capabilities that are available in Pandapower.
For that, I have to first be able to load my grid data into Pandapower.
For that, I have to somehow bridge the gap between PSSE .raw to Pandapower.
Literature says that a possible way of doing this is by using the 'psse2mpc' function available in Matpower.
I've tried to use it but I get the following error message:
(quote)
>> psse2mpc('RED1523.raw')
Reading file 'RED1523.raw' ............................................. done.
Splitting into individual lines ...error: regexp: the input string is invalid UTF-8
error: called from
psse_read at line 60 column 9
psse2mpc at line 68 column 21
(unquote)
I'was informed that maybe I should save my .raw file (natively generated with a PSSE/E v33 version) into an older .raw format (corresponding to previous PSS/E versions).
I've tried this as well but still have the same error message.
Apart from getting this error which so far impedes to reach my objective, I've been unable to guess the Pandapower "equivalent .raw" structure. Does anybody know how this input structure looks like in Pandapower?
If I would know how Pandapower needs to get the input data, I could even try to code a taylor-made python script that converts my .raw file into whatever is required from Pandapower.
If somebody could help me to get out of this labyrinth I would be most gratefull !!!
Thanks.
Eneko.
You need to check your .raw file to enter the other Inputs of the psse2mpc function. For instance, if I have the case39.raw file and I want to convert it to matpower format like case39mpc.m, then I must enter something like this:
psse2mpc ('case39.raw', 'case39mpc.m', '1', '29')
I have data stored in the .tdms format, gathering the data of many sensors, measured every second, every day. A new tdms file is created every day, and stored in a folder per month. Using the convertTDMS function, I have converted these tdms files to mat files.
As there are some errors in some of the measurements(e.g. negative values which can not physically occur), I have performed some corrections by loading one mat file at a time, do the calculations and then save the data into the original .mat file.
However, when I try to do what I described above in a loop (so: load .mat in folder, do calculations on one mat file (or channel therein), save mat file, repeat until all files in the folder have been done), I end up running into trouble with the limitations of the save function: so far I save all variables (or am unable to save) in the workspace when using the code below.
for k = 1:nFiles
w{k,1} = load(wMAT{k,1});
len = length(w{k,1}.(x).(y).(z));
pos = find(w{k,1}.(x).(y).(z)(1,len).(y)<0); %Wind speed must be >0 m/s
for n = 1:length(pos)
w{k,1}.(x).(y).(z)(1,len).(y)(pos(n)) = mean([w{k,1}.(x).(y).(z)(1,len).(y)(pos(n)+1),...
w{k,1}.(x).(y).(z)(1,len).(y)(pos(n)-1)],2);
end
save( name{k,1});
%save(wMAT{k,1},w{k,1}.(x),w{k,1}.ConvertVer,w{k,1}.ChanNames);
end
A bit of background information: the file names are stored in a cell array wMAT of length nFiles in the folder. Each cell in the cell array wMAT stores the fullfile path to the mat files.
The data of the files is loaded and saved into the cell array w, also of length nFiles.
Each cell in "w" has all the data stored from the tdms to mat conversion, in the format described in the convertTDMS description.
This means: to get at the actual data, I need to go from the
cell in the cell array w{k,1} (my addition)
to the struct array "ConvertedData" (Structure of all of the data objects - part of convertTDMS)
to the struct array below called "Data" (convertTDMS)
to the struct array below called "MeasuredData" (convertTDMS) -> at this level, I can access the channels which store the data.
to finally access/manipulate the values stored, I have to select a channel, e.g. (1,len), and then go via the struct array to the actual values (="Data"). (convertTDMS)
In Matlab format, this looks like "w{1, 1}.ConvertedData.Data.MeasuredData(1, len).Data(1:end)" or "w{1, 1}.ConvertedData.Data.MeasuredData(1, len).Data".
To make typing easier, I took
x = 'ConvertedData';
y = 'Data';
z = 'MeasuredData';
allowing me to write instead:
w{k,1}.(x).(y).(z)(1,len).(y)
using the dot notation.
My goal/question: I want to load the values stored in a .mat file from the original .tdms files in a loop to a cell array (or if I can do better than a cell array: please tell me), do the necessary calculations, and then save each 'corrected' .mat file using the original name.
So far, I have gotten a multitude of errors from trying a variety of solutions, going from "getfieldnames", trying to pass the name of the (dynamically changing) variable(s), etc.
Similar questions which have helped me get in the right direction include Saving matlab files with a name having a variable input, Dynamically Assign Variables in Matlab and http://www.mathworks.com/matlabcentral/answers/4042-load-files-containing-part-of-a-string-in-the-file-name-and-the-load-that-file , yet the result is that I am still no closer than doing manual labour in this case.
Any help would be appreciated.
If I understand your ultimate goal correctly, I think you're pretty much there. I think you're trying to process your .mat files and that the loading of all of the files into a cell array is not a requirement, but just part of your solution? Assuming this is the case, you could just load the data from one file, process it, save it and then repeat. This way you only ever have one file loaded at a time and shouldn't hit any limits.
Edit
You could certainly make a function out of your code and then call that in a loop, passing in the file name to modify. Personally I'd probably do that as I think it's neater solution. If you don't want to do that though, you could just replace w{k,1} with w then each time you load a file w would be overwritten. If you wanted to explicitly clear variables you can use the clear command with a space separated list of variables e.g. clear w len pos, but I don't think that this is necessary.
I am performing an analysis which involves simulation of over 1000 cases. I extracting lots of data for each case as well (about 70MB). Currently I am saving the results for each case as:
Vessel.TotalForce
Vessel.WindForce
Vessel.CurrentForce
Vessel.WaveForce
Vessel.ConnectionForce
...
Line1.EffectiveTension
Line1.X
Line1.Y
Line2.EfectiveTension
Line2.X
Line2.Y
...
save('CaseNo1.mat')
Now, I need to perform my analysis for CaseNo1.mat to CaseNo1000. Initially I planned to create a Database.mat file by loading all cases in it and then accessing any variable using h5read. This way Matlab doesn't need to load all the data at a time. However, I am concerned now that my database file will be too big.
Is there any way I can read the structured variables from individual case files for example CaseNo1.mat without loading the CaseNo1.mat file in memory.
Matlab examples shows loading just the variables directly from MAT file without loading the whole MAT file. But I am not sure how to read structures data the same way.
x=load('CaseNo1.mat','Line1.X')
says Line1.X not found. But it's there. The command is not correct to access the data. Also tried using h5read, but it says CaseNo1.mat is not an HDF5 file.
Can anyone help with this.
Apart from this, I would also appreciate if there is any suggestion about performing such data intensive analysis.
I was wrong! I'm leaving my old answer for context, though I've edited it to reference this one. I thought I had used matfile() in that way before, but I hadn't. I just did a thorough search and ran a few test cases. You've actually run into a limitation of the way Matlab handles and references structures stored in .mat files. There is, however, a solution. It does involve some refactoring of your original code, but it shouldn't be too egregious.
Vessel_TotalForce
Vessel_WindForce
Vessel_CurrentForce
Vessel_WaveForce
Vessel_ConnectionForce
...
Line1_EffectiveTension
Line1_X
Line1_Y
Line2_EfectiveTension
Line2_X
Line2_Y
...
save('CaseNo1.mat')
Then to access, just use matfile (or load) as you were before. Like so:
Vessel_WaveForce = load('CaseNo1.mat'', 'Vessel_WaveForce')
It's important to note that this restriction doesn't appear to be caused by anything you've chosen to do in your program, but rather is imposed by the way Matlab interacts with it's native storage files when they contain structures.
EDIT: This answer works, but doesn't actually solve the problem posed in OP's question. I thought I had used matfile to generate a handle that I could access, but I was wrong. See my other answer for details.
You could use matfile, like so:
myMatFileHandle = matfile('caseNo1.mat');
thisVessel = myMatFileHandle.vessel;
Also, from the little bit I can see, you seem to be on the right track for high-volume analysis. Just remember to use sparse when applicable, and generally avoid conditionals inside of loops if possible.
Good luck!
The objective of storing data in structured format is:
To be organized
Easy scripting post processor where looping through data under one data set it required.
To store structured dataset containing integer, floating and string variables in MAT file and to be able to read just the required variable using h5read command was sought. Matlab load command is not able to read variable beyond first level from stored data in a MAT file. The h5write couldn't write string variables. Hence needed a work around to solve this problem.
To do this I have used following method:
filename = 'myMatFile';
Vessel.TotalForce = %store some data
Vessel.WindForce = %store some data
Vessel.CurrentForce = %store some data
Vessel.WaveForce = %store some data
Vessel.ConnectionForce = %store some data
...
Lin1.LineType = 'Wire'
Line1.ArcLength_0.EffectiveTension = %store some data
Line1.ArcLength_50.EffectiveTension= %store some data
Line1.ArcLength_100.EffectiveTension= %store some data
Lin2.LineType = 'Chain'
Line2.ArcLength_0.EffectiveTension= %store some data
Line2.ArcLength_50.EffectiveTension= %store some data
Line2.ArcLength_100.EffectiveTension= %store some data
save([filename '_temp.mat']);
PointToMat=matfile([filename '.mat'],'Writable',true);
PointToMat.(char(filename)) = load([filename '_temp.mat']);
delete([filename '_temp.mat']);
Now to read from the MAT file created, we can use h5read as usual. To extract the EffectiveTension for Line1, ArcLength_0:
EffectiveTension = h5read([filename '.mat'],['/' filename '/Line1/ArcLength_0/EffectiveTension']);
For string variables, h5read returns decimal values corresponding to each character. To obtain the actual string I used:
name = char(h5read([filename '.mat'],['/' filename '/Line1/LineType']));
Tried this method on my data set which is about 200MB and I could process them pretty fast. Hope this would help someone someday.
Short answer:
Having saved the data into a MAT file with the '-v7.3' option, use something like h5read(filename, '/Line2/X') to read just one structure field. You can even read an array partially, for example:
s.a = 1:100;
save('test.mat', '-v7.3', 's');
clear
h5read('test.mat', '/s/a', [1 10], [1 5], [1 3])
returns each third element of the 1:100 array, starting with the 10th element and returning 5 values:
10 13 16 19 22
Long answer:
See answer by #Amitava for the more elaborate code and topic coverage.
I'm using uigetfile with a custom set of FilterSpecs. Here is the sentence:
[FileName,PathName,FilterIndex] = uigetfile({'*.wav';'*.mp3'},'Open Audio File');
As you can see my FilterSpec is {'*.wav';'*.mp3'} and this works perfectly fine. My problem is simple, is just that matlab is always appending AllFiles(*.*) to my FilterSpecs. I have searched in Matlab docs and it literally states:
"uigetfile appends All Files(.) to the file types when FilterSpec is a string.", but the problem is that I don't see another way of specifying a custom FilterSpec without using strings.Sorry if this results in a dumb question.
Thanks in advance
There's no way to (easily) remove the 'AllFiles' from uigetfile() since it's always added by MATLAB.
If you really want to do it, you have to copy the uigetputfile_helper() code (to
MYuigetputfile_helper() for example) and change it. And then you call it from your MYuigetfile() - same idea here.
The change would be around lines 311 and 319 in my version from uigetputfile_helper(), i.e.
% Now add 'All Files' appropriately.
if (addAllFiles)
% If a string, create a cell array and append '*.*'.
if (~iscell(returned_filter))
returned_filter = {returned_filter; '*.*'};
% If it is a cell array without descriptors, add '*.*'.
elseif (size(returned_filter, 2) == 1)
returned_filter{end+1} = '*.*';
end
end
Hope that helps... have fun!
If you back up a few lines from the previous poster's answer, you'll see a comment:
We want to add 'All Files' in all cases unless we have a cell array with descriptors.
This comment is on line 245 of uigetputfile_helper for me. Simply describe your file types at the time you call uigetfile, and you won't see All Files (*.*)
Example:
[fname,pname] = uigetfile({'*.m','MATLAB Code (*.m)';'*.mat','MATLAB Data (*.mat)'});
I am reading a dicom file in matlab and modifying some data of it and trying to save it into another file, but while doing so, the private dicom data are either not written at all (when 'WritePrivate' is set to 0) or it's written as a UINT8 array which become incomprehensible and useless. I even tried to copy the data that I get in from the original dicom file to a new structure and write to a new dicom file but even though the private data remains fine in new structure it doesn't remain so in the new dicom file. Is there any way to keep this private data intact while copying in to a new dicom file without changing the matlab dicom dictionary?
I have provided the following code to show what I'm trying to do.
X=dicomread('Bad011_4CH_01.dcm');
metadata = dicominfo('Bad011_4CH_01.dcm');
metadata.PatientName.FamilyName='LastName';
metadata.PatientName.GivenName='FirstName';
birthday=metadata.PatientBirthDate;
year=birthday(1,1:4);
newyear=strcat(year,'0101');
metadata.PatientBirthDate=newyear;
names=fieldnames(metadata);
h=metadata;
dicomwrite(X,'example.dcm',h,'CreateMode','copy');
newh=dicominfo('example.dcm');
Here the data in newh contains none of the private data. If I change the code to the following
dicomwrite(X,'example.dcm',h,'CreateMode','copy','WritePrivate',1);
In this case the private data gets totally changed to some UIN8 array and useless. The ideal solution for my task would be to enable keeping the private data in the newly created dicom file without changing the matlab dicom dictionary.
Have you tried something like:
dicomwrite(uint16(image), fileName, 'ObjectType', 'MR Image Storage', ...
'WritePrivate', true, header);
where "header" is a struct composed of name-value pairs using the same format as header data that you would get from MATLAB's dicominfo function? My general approach to image creation in MATLAB is to avoid using CreateMode 'copy' and instead build my own DICOM header by explicitly copying the attributes that it makes sense to copy and generating my own values for attributes that should have new values.
To write private tags, you would do something like:
header.Private_0045_10xx_Creator = 'MY_PRIVATE_BLOCK';
header.Private_0045_1001 = int32(65535);
If you then write this out using dicomwrite and read it back in using hdr = dicominfo('mynewimg');, you can see that it really did write the value as a 32-bit integer even though, unfortunately, if is always going to read the data in as a vector of uint8 values.
>> hdr.Private_0045_1001
ans =
255
255
0
0
As long as you know what type to expect, you should be able to typecast the data back to the desired type after you've read the header. For example:
>> typecast(hdr.Private_0045_1001, 'int32')
ans =
65535
I know I'm about 8 years late, but have you tried
dicomwrite(..., 'VR', 'explicit')
?
It solves the "reading as uint8" problem for me.
Edit:
Actually, it looks like you need to specify a dicom dictionary with the VR of that tag. If you combine this with 'VR', 'explicit', then the program reading the dicom won't need to dictionary file.