pretrained-models.pytorch
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Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Test: [2570/5000] Time 0.024 (0.060) Loss 19.2762 (18.3547) Acc@1 0.000 (0.117) Acc@5 0.000 (0.381) This is the recognition result on test dataset of imagenet.
When I use code `pretrainedmodels.se_resnext50_32x4d(pretrained='imagenet')` to download model se_resnext50, error comes up : > File "/home/xx/anaconda3/envs/torch37/lib/python3.7/site-packages/torch/serialization.py", line 764, in _legacy_load magic_number = pickle_module.load(f, **pickle_load_args) _pickle.UnpicklingError: invalid load key, '
when I use DataParallel, I encounter an error "Expected tensor for argument #1 'input' to have the same device as tensor for argument #2 'weight'; but device 1 does not...
When I load the Xception, there is an error signs: `Traceback (most recent call last): File "main.py", line 243, in main(opt) File "main.py", line 216, in main model = TwoStream(opt.num_class,...
Hello, When I used multiple gpus to train model, I usually get this error. `RuntimeError: Expected tensor for argument #1 'input' to have the same device as tensor for argument...
I want to use these pretrained models with the same input shape, is it possible, or I need to finetuning them before using them with the special shape(i.e. 3 x...
已经解决了win10下的训练自己的数据问题,加Q群857449786 注明models 共同研究
I use sgd 0.01, and scheduled 30, 60, 90 epoches with lr decay rate 0.1, momentum is set at 0.9 with nesterov enabled, but I can not get the results...