Closed maoyj1998 closed 3 years ago
Hi,
Thank you for your interest in our work.
To load the frcnn
feature files, try:
>>> t = torch.load("train-10108-1-img1.pkl")
>>> t
tensor([[1.0865, 0.2140, 0.0000, ..., 0.9983, 0.9057, 0.6898],
[0.5224, 0.1632, 0.0000, ..., 0.9983, 0.9986, 0.5074],
[1.7256, 0.1266, 0.0000, ..., 0.7811, 0.9856, 0.7811],
...,
[0.0000, 0.0000, 0.0000, ..., 0.9123, 0.1017, 0.2781],
[0.0031, 0.3650, 0.7746, ..., 0.9518, 0.4058, 0.4366],
[0.0000, 0.0000, 0.0255, ..., 0.8832, 0.1104, 0.3534]])
We have just verified the above code. Please do confirm if it works for you.
In a subsequent update (coming soon), we will update our code base to include the support for frcnn
features (which requires just a few changes).
Thanks.
Hi,
Thank you for your interest in our work.
To load the
frcnn
feature files, try:>>> t = torch.load("train-10108-1-img1.pkl") >>> t tensor([[1.0865, 0.2140, 0.0000, ..., 0.9983, 0.9057, 0.6898], [0.5224, 0.1632, 0.0000, ..., 0.9983, 0.9986, 0.5074], [1.7256, 0.1266, 0.0000, ..., 0.7811, 0.9856, 0.7811], ..., [0.0000, 0.0000, 0.0000, ..., 0.9123, 0.1017, 0.2781], [0.0031, 0.3650, 0.7746, ..., 0.9518, 0.4058, 0.4366], [0.0000, 0.0000, 0.0255, ..., 0.8832, 0.1104, 0.3534]])
We have just verified the above code. Please do confirm if it works for you.
In a subsequent update (coming soon), we will update our code base to include the support for
frcnn
features (which requires just a few changes).Thanks.
A grate thanks
Hello, CIRR is really a brilliant work !
now i am trying to load faster rcnn feature using pickle.load, I encounter some strange problems
it is fine to load resnet 152 feature, searching for google dose not find any clue.