Dot indexing is not supported for variables of this type.

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Md Shahidul Islam
Md Shahidul Islam 2021-8-17
编辑： Adam Danz 2021-8-17
I faced this problem here. Please help me. I already try with give solution .
image_files = [];
for f = isfolder(image_path)
if f.endsWith([".jpg",".jpeg",".png", ".PNG"]) //problem is here
image_files.append(f);
end
end
Problem
Dot indexing is not supported for variables of this type.
Error in undistortion>undistorb_images (line 51)
if f.endsWith([".jpg",".jpeg",".png", ".PNG"])
  2 个评论
DGM
DGM 2021-8-17
编辑：DGM 2021-8-17
You're going to have to explain what exactly you're trying to do here, because this code doesn't make any sense.
% what is image_path? is it a scalar string or char vector?
% is it a string array or a cell array of chars?
image_path = ???;
image_files = [];
% assuming image_path specifies multiple files,
% isfolder() will output a logical vector.
% f will be scalar logical, and the loop steps through each value
% but they're never used for anything
% if you're intending to only look at paths which are directories
% then why is the inner conditional looking to see if they're image files?
for f = isfolder(image_path)
% f is a scalar logical. it has no method endsWith().
% the correct syntax endsWith(f,pattern) doesn't make sense either
% because f is a scalar logical, not a string or char.
if f.endsWith([".jpg",".jpeg",".png", ".PNG"]) //problem is here
% again, append() doesn't work like that, and it doesn't work
% on logical scalars either. even if it did, this entire loop
% would accomplish nothing but disassembling the output from
% isfolder() and then reassembling it back into a logical vector.
image_files.append(f);
end
end
Are you trying to recursively search directories and build a list of paths to image files? What about image files that are not in a directory, but are specified directly in image_path?
Md Shahidul Islam
Md Shahidul Islam 2021-8-17
Yes, I am trying to recursively search directories and build a list of paths to image files. Here is my full code:
undistorb_images([], []);
function [tvec, rvec, camera_matrix, dist] = read_wp2c(input_name)
%input_name = "output_wp2camera.json";
raw = fileread(input_name);
input_params = jsondecode(raw);
camera_matrix = input_params.camera_matrix;
dist = input_params.dist_coefs;
tvec_json = input_params.translational_vectors;
%tvec = struct2cell(tvec_json);
rvec_json = input_params.rotational_vectors;
%rvec = struct2cell(rvec_json);
tvec = [];
rvec = [];
len = length(tvec_json);
for i = 1:len
%tvec.append(array(tvec_json(image + string(i))))
%tvec.append.tvec_json(i);
tvec = struct2cell(tvec_json(i));
%[A{:}]
%tvec.append(input_params.translational_vectors.image0);
%rvec.append(array(rvec_json(image + string(i))));
rvec = struct2cell(rvec_json(i));
end
end
function undistorb_images(inputParams, result)
%if result is None:
if isempty(result)
input_name = "output_wp2camera.json";
[tvec, rvec, camera_matrix, dist] = read_wp2c(input_name);
else
tvec = result(4);
rvec = result(3);
camera_matrix = result(1);
dist = result(2);
end
if isempty(inputParams)
image_path = "D:\matlab_code\Calibration_Task\images\";
else
image_path = inputParams.opencv_storage.settings.Images_Folder;
end
image_files = [];
files = [dir(fullfile(image_path,'*.jpg')); dir(fullfile(image_path,'*.png')); dir(fullfile(image_path,'*.jpeg')); dir(fullfile(image_path,'*.PNG'))];
%files = dir(fullfile(image_path, '*.(jpg|png)'));
L = length(files);
for i=1:L
image_files=files(i).name;
%disp(file)
end
% for f = dir(image_path)
% %ext = image_path(split(lower(f)));
% %disp(f)
% %if f.endsWith([".jpg",".jpeg",".png", ".PNG"])
% % image_files.append(f);
% %end
% end
image_file_name = [];
if ~isempty(image_files)
for image_file = image_files
image_file_name.append(image_file);
image = imread(image_path + "/" + image_file);
[height, width] = size(image);
print(str(height) + " " + str(width))
[newcameramtx, roi] = getOptimalNewCameraMatrix(camera_matrix, dist, [width,height], 0, [width,height]);
% dst = cv2.undistort(image, camera_matrix, dist, None, newcameramtx)
[mapx, mapy] = cv.initUndistortRectifyMap(camera_matrix, dist, None, newcameramtx, [width,height], 5);
dst = cv.remap(image, mapx, mapy, INTER_LINEAR);
x, y, w, h = roi;
dst = dst(y:y+h, x:x+w);
[height, width] = size(dst);
print(str(height) + " " + str(width));
imwrite("undistortion/" + image_file, dst);
end
end
end

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采纳的回答

Adam Danz
Adam Danz 2021-8-17
编辑：Adam Danz 2021-8-17
> I am trying to recursively search directories and build a list of paths to image files
Inputs:
% Define the main directory
image_path = 'C:\Users\name\Documents';
% list accepted extensions (with leading dot, case ignored)
acceptedExt = [".jpg",".jpeg",".png"];
Recursively search main directory (and sub directories) for files with listed extensions. fileList contains a cell array of full paths to matched files. The extension match ignores case.
d = dir(fullfile(image_path,'**\*.*'));
d([d.isdir]) = []; % remove directories from list
[~,ext] = regexp({d.name}','.*(\..*$)','match','once','tokens');
isAccepted = ismember(lower([ext{:}]), lower(acceptedExt));
d(~isAccepted) = []; % remove files that do not have accepted ext.
% list full paths to accepted files
fileList = fullfile({d.folder},{d.name})';
  2 个评论
Adam Danz
Adam Danz 2021-8-17
编辑：Adam Danz 2021-8-17
Sure, to display the number of accepted files for each extension, replace the ismember line with the line below and add the second block of code to the end.
[isAccepted,extIdx] = ismember(lower([ext{:}]), lower(acceptedExt));
% Count number of matches for each acceptedExt
unqExtIdx = unique(extIdx(isAccepted));
count = histcounts(extIdx(isAccepted), 'BinMethod','integers');
disp(compose('%s: %.0f', acceptedExt', count'))
Example output:
ans =
4×1 cell array
{'.jpg: 388'}
{'.jpeg: 0' }
{'.png: 0' }
{'.gif: 1' }

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