Comments (4)
Thanks for your interest in our work.
It seems you didn't put the dataset in the correct directory.
You also need to prepare for the dataset following PODNet.
If you have any questions, please do not hesitate to contact me.
from class-incremental-learning.
I am following this path: "POD-AANets/main/data/imagenet"
here I have pasted my imagenet subset dataset subfolders train, val, samples.
Please guide me if this is the correct path and it would be better if you mention the command where the path of the dataset is written.
Because I am following everything described and mentioned by you and the other author. Thank you for your support.
from class-incremental-learning.
Finally, I have been able to execute the code. I just renamed the file names according to the paths. So, finally, after setting my dataset, I am successfully able to run it.
from class-incremental-learning.
My apologies for the late reply. It seems your issue has been solved. If you have any further questions, please do not hesitate to contact me.
from class-incremental-learning.
Related Issues (20)
- runs the code in mini-imagenet HOT 1
- How are the hyperparameters tuned? HOT 1
- Paper uses dynamic budget, but repository recommends fixed? HOT 2
- Question about exemplar selection code HOT 2
- Running errors HOT 3
- ValueError: signal number 32 out of range HOT 1
- This is a very strange question HOT 1
- some bugs HOT 3
- Code for T-SNE in the mnemonics paper HOT 4
- `BaseTrainer.init_current_phase_dataset` returning two `Y_valid_cumuls` HOT 2
- question about `modified_linear.py` HOT 2
- size of trainloader HOT 4
- training problem HOT 9
- Inquiries about the comparison between mnemonics and baseline HOT 2
- Kindly explain a little about the results terms and accuracy matching HOT 8
- Save model in PODNET repo HOT 1
- About initializing learnable parame φi and ηi HOT 4
- training hyperparamters for imagenet1000? HOT 2
- Implementations of Mnemonics training HOT 4
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