Getting error : Invalid bounding boxes

Question

Adrian Kleffler 2023-5-5

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1958799-getting-error-invalid-bounding-boxes

评论： Adrian Kleffler 2023-5-15

Hello everyone, I have this kind of problem and i need help.

Error using validateInputData
Bounding box data must be M-by-4 matrices of positive integer values. The following images have invalid bounding box data:
E:\ADRIAN\BAKALARKA\DATASET\vsetko2\panasonic_fullhd_01-090-045-202111091200.jpg
E:\ADRIAN\BAKALARKA\DATASET\vsetko2\panasonic_fullhd_01-090-045-202109091600.jpg
E:\ADRIAN\BAKALARKA\DATASET\vsetko2\panasonic_fullhd_01-090-270-202101091700.jpg

there are so many more images which have invalid boundig boxes... I want to ask : Can i remove these images somehow ? Or how can I solve this problem ?

for example : bounding boxes for this image : E:\ADRIAN\BAKALARKA\DATASET\vsetko2\panasonic_fullhd_01-090-045-202111091200.jpg

[] [] [] [1407,101.500000000000,179,979] []

I hope someone can help, so many thanks.

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Ranjeet 2023-5-8

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1958799-getting-error-invalid-bounding-boxes#answer_1230909

编辑：Ranjeet 2023-5-8

Hello Adrian,

As evident from the example you gave, the image has a valid bounding box [1407,101.500000000000,179,979] but the blank brackets “[]” are responsible for producing the error.

One way would be to remove the empty brackets.

Also make sure that each sample (image) has at-least one bounding box (this means it has at-least one object in the image that can be used for training/testing).

If an image is having multiple bounding boxes, then they should be represented as [bbx1; bbx2; bbx3; …] as represented in the example Object Detection using YOLO v3 Deep Learning. You may try the example with your dataset and see if it still gives empty bracket like “[] [] [] [1407,101.500000000000,179,979] []”.