Comments (1)
kibok90
commented on August 29, 2024
If you want to use your own dataset without modifying the code, you can simply convert your dataset to match the format with the imagenet dataset, which is loaded using the H5Dataset class.
You can find the link to download it in the instruction:
- Download [train (1.5GB)], [test (0.3GB)] and place them in
data/imagenet/. - Download [here (20 files; each takes 3GB)] and place them in
data/imagenet/.- Download [0 (3GB)] only, if you use
--ex-staticfor training.
- Download [0 (3GB)] only, if you use
Below might also be useful:
creating an H5 file:
https://github.com/kibok90/iccv2019-inc/blob/master/sample_imagenet.py#L211-L213
loading an H5 file:
https://github.com/kibok90/iccv2019-inc/blob/master/datasets/inc_ext.py#L445-L447
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