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inference using pretrained weights #14

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divastar opened this issue Nov 30, 2021 · 1 comment
Open

inference using pretrained weights #14

divastar opened this issue Nov 30, 2021 · 1 comment

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@divastar
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Hi. Can I start with the inference using python test.py --config_file configs/stage2/101a_384.yml MODEL.DEVICE_ID "('0')" TEST.WEIGHT './logs/stage2/resnext101a_384/v1/resnext101_ibn_a_2.pth' OUTPUT_DIR './logs/stage2/resnext101a_384/v1'?

keep getting: File "C:\Users\diva\car_finder\model\make_model.py", line 148, in init
self.state_dict()[i].copy_(param_dict[i])
RuntimeError: The size of tensor a (64) must match the size of tensor b (128) at non-singleton dimension 0

Can someone help?
Thnks
@michuanhaohao
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Please use 'resnext101a_384.yml'.

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@michuanhaohao @divastar