Comments (3)
File "/home/zhangwenyao/pt/Dassl.pytorch/dassl/utils/tools.py", line 177, in check_availability
"(do you mean [{}]?)".format(available, requested, psb_ans)
ValueError: The requested one is expected to belong to ['Digit5', 'VisDA17', 'CIFARSTL', 'Office31', 'DomainNet', 'OfficeHome', 'miniDomainNet', 'PACS', 'VLCS', 'FMoW', 'IWildCam', 'Camelyon17', 'CIFAR10C', 'CIFAR100C', 'DigitsDG', 'DigitSingle', 'OfficeHomeDG', 'CIFAR10', 'CIFAR100', 'SVHN', 'STL10', 'OxfordPets', 'OxfordFlowers', 'FGVCAircraft', 'DescribableTextures', 'EuroSAT', 'StanfordCars', 'Food101', 'SUN397', 'Caltech101', 'UCF101', 'ImageNet', 'NewDataset', 'ImageNetSketch', 'ImageNetV2', 'ImageNetA', 'ImageNetR'], but got [Cifar100] (do you mean [CIFAR100]?)
from coop.
https://github.com/KaiyangZhou/CoOp/blob/main/datasets/oxford_pets.py#L11
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Do you have the result on CIFAR100? @Zhangwenyao1
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Related Issues (20)
- If CoCoOp can use ResNet as backbone
- A problem related to DG HOT 1
- Reproduction of DOSCO HOT 3
- How to use the pretrained weight of CoOp for Multi-label Top-K Prediction? HOT 4
- train own dataset HOT 1
- set lpclip num-shot
- RuntimeError: "slow_conv2d_cpu" not implemented for 'Half' HOT 3
- Why the test read on imagnet is empty HOT 3
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- cifar100 dataset
- Question regarding the number of runs
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- Base-to-novel generalization
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