Use "evaluateDetectionPrecision" function for multiclass objects
조회 수: 1 (최근 30일)
이전 댓글 표시
I have image processing data stored in a sturct format. I have also gnerated ground truth data using the image labler application. I am using struct2table function in order to convert the data to a table format. I am only converting the results that contain the bounding boxes, lablels and scores for each image. The issue I get is that each the fuction "evaluateDetectionPrecision" reaches data that contains labels for the detected part it returns an error
"Error using vision.internal.detector.evaluationInputValidation>checkDetectionResultsTable (line 80)
The label value in row 9 of the detection results table is undefined. It must be one of the following categorical
values: {Healthy_Insulator,Broken_Insulator,Dirty_Insulator}."
I am quite sure that the labels are in categroical format as it clearly shows. I am providng the mat files that contain the script " Ap_precs_test1.m" Ground_truth and results_test21.mat. I would highly appreciate help.
댓글 수: 0
답변 (0개)
참고 항목
카테고리
Help Center 및 File Exchange에서 Convert Image Type에 대해 자세히 알아보기
제품
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!