Perform Instance Segmentation Using Mask R-CNN
Mostrar comentarios más antiguos
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..?
Respuesta aceptada
Más respuestas (0)
Categorías
Más información sobre Object Detection en Centro de ayuda y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!