Perform Instance Segmentation Using Mask R-CNN
Show older comments
thank you to click
i just following 'Perform Instance Segmentation Using Mask R-CNN' example
URL : "https://kr.mathworks.com/help/vision/ug/example-InstanceSegmentationUsingMaskRCNNDeepLearningExample.html"
I have download the file(instances_train2014.json, cocoapi-master, unpackAnnotations.m(was in helper file) )
but i don't know how to compling gason.

so i get a error

i just copy the example and change the file path
%download traindata
imageFolder = fullfile(dataFolder,"images");
captionsFolder = fullfile(dataFolder,"annotations");
if ~exist(imageFolder,"dir")
mkdir(imageFolder)
mkdir(captionsFolder)
end
annotationFile = fullfile(captionsFolder,"instances_train2014.json");
str = fileread(annotationFile);
%read and process training data
trainClassNames = ["person","car"];
numClasses = length(trainClassNames);
imageSizeTrain = [800 800 3];
cocoAPIDir = fullfile(dataFolder,"cocoapi-master","MatlabAPI");
addpath(cocoAPIDir);
unpackAnnotationDir = fullfile(dataFolder,"annotations_unpacked","matFiles");
if ~exist(unpackAnnotationDir,'dir')
mkdir(unpackAnnotationDir)
end
helper.unpackAnnotations(trainClassNames,annotationFile,imageFolder,unpackAnnotationDir);
%create data
i want to train coco dataset but i don't know c++ compling
how can i get complied data..?
Accepted Answer
More Answers (0)
Categories
Find more on Object Detection in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!