Error executing [ap, recall, precision] = evaluateDetectionPrecision(results, expectedResults);
7 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
I have modified the FasterRCNN tutorial and have successfully created a detector, however when I get to the testing step I cannot execute the final code. The errors I get are below :
Error using vision.internal.detector.evaluationInputValidation>checkGroundTruthTable (line 101)
Invalid bounding box in row 1, column 1 of the training data table: Cell contents reference from a non-cell array
object.
Error in vision.internal.detector.evaluationInputValidation (line 8)
checkGroundTruthTable(groundTruth, height(detectionResults), mfilename);
Error in evaluateDetectionPrecision (line 94)
vision.internal.detector.evaluationInputValidation(detectionResults, ...
Error in RAT_DeepLearningFasterRCNNObjectDetectionExample (line 318)
[ap, recall, precision] = evaluateDetectionPrecision(results, expectedResults);
I have looked my results table and it seems to be in the correct format, with the boxes, the scores for each and the labels. What could be causing this error?
0 Kommentare
Antworten (1)
Sanjana Ramakrishnan
am 3 Mai 2017
Bearbeitet: Walter Roberson
am 3 Mai 2017
The second parameter of the 'evaluateDetectionPrecision' function should be in the format as specified in the documentation link below:
The most likely cause of the error message: "Cell contents reference from a non-cell array" is when it is referenced incorrectly as below:
>> d = [ 1 2 4 5];
>> d{1}
Cell contents reference from a non-cell array object.
Ensure that the second parameter is in the right format and is referenced correctly.
1 Kommentar
Siehe auch
Kategorien
Mehr zu Numeric Types finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!