Closed alrikai closed 5 years ago
Hi,
Sorry for the late reply. I was checking the sequences you mentioned and find that airplane-14 had 2821 images, airplane-15 has 4500 images, and bus-4 has 3791 images. How did you get the number of images for these three videos?
You can use the hashing code for verifying. I checked again and the data is ok in the sever.
Thanks for the verification, I had initially loaded the data in python and noticed the mismatch, then checked via the command line in the unzipped data set, i.e.
$ ls airplane/airplane-15/img/ | wc -l
4501
$ cat airplane/airplane-15/groundtruth.txt | wc -l
4500
I'll check the md5 hash, thanks!
The hashes did not match, and after finally managing to re-download the dataset, it all seems good. Thanks for the help
Hello,
I noticed that sequences
airplane-14
,airplane-15
, andbus-4
seem to have an off-by-one mismatch in the number of images compared to the number of annotations (ingroundtruth.txt
,full_occlusion.txt
, andout_of_view.txt
). More specifically,airplane-14
has 2822 images;groundtruth.txt
has 2821 lines.airplane-15
has 4501 images;groundtruth.txt
has 4500 lines.bus-4
has 3972 images;groundtruth.txt
has 3971 lines.and the corresponding
full_occlusion.txt
andout_of_view.txt
files have the same number of comma separated elements as thegroundtruth.txt
file for the above sequences.I downloaded the dataset a few weeks ago (from the google drive link) at https://cis.temple.edu/lasot/download.html.
Am I the only one with this issue? Or is this issue already fixed in a more recent version of the dataset and I need to re-download it? (I would verify this myself, but it's a rather large download).
Thanks!