How can I insert my yolo dataset as a table

1 view (last 30 days)
I got a dataset for human tracking, since the pretrained models I found on MATLAB website were for detecting vehicles, but I am struggling to find the way to input my data as ground truth for my model. The dataset I got is ready and cropped. I need to input it as a table. I am using this code and getting the error 'The RowNames property must contain one name for each row in the table.'. I want the table to have 2 columns, one with image path and the other with its data matrix.
myFolder = 'C:\Users\Zewail\Downloads\rois\jpg_Extracted_PIDS';
dinfo = dir(fullfile(myFolder, '**/*.jpg'));
n = numel(dinfo);
T = table(cell(1, n), 'VariableNames', {'image'}, 'RowNames', {dinfo.name});
for K = 1 : n
filename = dinfo(K).name;
filecontent = imread(filename);
T{filename,1} = filecontent;
end

Answers (1)

yanqi liu
yanqi liu on 13 Jan 2022
yes,sir,please check the demo:
make the dataset as table,and modify model parameter to train
  4 Comments
Mohamed Zewail
Mohamed Zewail on 13 Jan 2022
The dataset I have is already cropped to the ROI, does not need labelling I believe. I am trying to create a table with the same format as vehicleDatasetGroundTruth.mat that is what I need help on. So basically I need a 2 column table, the first column containing the image's path and the second column containg the image as a matrix. This is the code I am using but I am getting the error "The RowNames property must contain one name for each row in the table."
myFolder = 'C:\Users\Zewail\Downloads\rois\jpg_Extracted_PIDS';
dinfo = dir(fullfile(myFolder, '**/*.jpg'));
n = numel(dinfo);
T = table(cell(1, n), 'VariableNames', {'image'}, 'RowNames', {dinfo.name});
for K = 1 : n
filename = dinfo(K).name;
filecontent = imread(filename);
T{filename,1} = filecontent;
end

Sign in to comment.

Categories

Find more on Sequence and Numeric Feature Data Workflows in Help Center and File Exchange

Products


Release

R2021a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!