How can I train (manually labeled) x-ray image data using CNN (labeled data in .json format)?
조회 수: 6 (최근 30일)
이전 댓글 표시
I have manually labeled some x-ray image data using dataturks.com I downloaded the file which contain the labeled information. But, the downloaded file is in .json format. Using these .json files, how can I train data in CNN? Can MATLAB understands .json file like .mat file?
댓글 수: 2
Kevin Chng
2018년 9월 19일
편집: Kevin Chng
2018년 9월 19일
Do you mind to attach your jason file hereby?
or you may try code below on how to decode jason in MATLAB
fname = 'meta_Electronics.json';
fid = fopen(fname);
raw = fread(fid,inf);
str = char(raw');
fclose(fid);
val = jsondecode(str);
채택된 답변
Kevin Chng
2018년 10월 2일
Hi Fahad Parvez Mahdi,
Sorry for my late reply, It is because there are so many web link in your json file. Therefore, you have to decode them one by one.
Please refer to the code below, it will help you decode your json file. There are 50 web links.
fname = 'Dental X-Ray Image Dataset 1.json';
fid = fopen(fname);
raw = fread(fid,inf);
str = char(raw');
fclose(fid);
k = strfind(str,'con');
k=k-3
k(1:2:end)=k(1:2:end)+1
w=1;
for i=1:2:length(k)
val(w) = jsondecode(str(k(i):k(i+1)));
w=w+1;
end
if you have any inquiries, you are always welcome.
댓글 수: 2
추가 답변 (0개)
참고 항목
카테고리
Help Center 및 File Exchange에서 Web Services에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!