Download extract.m from diff-mining/cardb: direct link, hf CLI and curl.
- Browser
- Download file 1.75 kB
-
https://huggingface.co/datasets/diff-mining/cardb/resolve/main/extract.m
- Command line
-
hf download hf://datasets/diff-mining/cardb/extract.m
-
curl -L -o extract.m https://huggingface.co/datasets/diff-mining/cardb/resolve/main/extract.m
1.75 kB
| % Define the directory where your images are stored | |
| for dirName = {'train', 'test'} | |
| imageDir = dirName{1}; | |
| % Initialize a dictionary (containers.Map) to store file comments | |
| fileComments = containers.Map(); | |
| % List all image files in the directory | |
| imageFiles = dir(fullfile(imageDir, '*.jpg')); % Update the file extension as needed | |
| disp(['Total number of image files: ', num2str(length(imageFiles))]); | |
| % Iterate over each image file | |
| for i = 1:length(imageFiles) | |
| % Get the full file path | |
| imagePath = fullfile(imageDir, imageFiles(i).name); | |
| % Use imfinfo to extract metadata | |
| try | |
| info = imfinfo(imagePath); | |
| catch | |
| disp(['Image not recognized or corrupted: ', imagePath]); | |
| continue; | |
| end | |
| info = imfinfo(imagePath); | |
| commentParts = info.Comment; | |
| % Store the comment in the dictionary with the file name as the key | |
| commentDict = containers.Map(); | |
| for j = 1:length(commentParts) | |
| keyValue = strsplit(strtrim(commentParts{j}), '='); | |
| if length(keyValue) == 2 | |
| commentDict(keyValue{1}) = keyValue{2}; | |
| end | |
| end | |
| fileComments(imageFiles(i).name) = commentDict; | |
| end | |
| % Define the output JSON file path | |
| outputJsonFile = strcat(imageDir, '.json'); | |
| % Write the JSON string to the output JSON file | |
| fid = fopen(outputJsonFile, 'w'); | |
| if fid ~= -1 | |
| fwrite(fid, unicode2native(jsonencode(fileComments, 'PrettyPrint', true), 'UTF-8')); | |
| fclose(fid); | |
| else | |
| disp('Error opening file.'); | |
| end | |
| end | |
| disp('Comments saved to JSON file.'); |