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Hi, thanks for your nice work!
When I run your code, there met a problem.
Because my device is unable to connect to the internet, I download the resnet50 pth pretrained on ImageNet instead of using the mm-pretrain model. This means I change the encoder config init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50') to init_cfg=dict(type='Pretrained', checkpoint='/data1/pbw/LATR-main/resnet50-19c8e357.pth')
By doing so, I successfully run the code. But it stops at operation "Convert model with Sync BatchNorm", and cannot go on. I have taken a screenshot as follows.
Could you give me some advice? Thanks for your time.
The text was updated successfully, but these errors were encountered:
Hi, thanks for your nice work! When I run your code, there met a problem. Because my device is unable to connect to the internet, I download the resnet50 pth pretrained on ImageNet instead of using the mm-pretrain model. This means I change the encoder config init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50') to init_cfg=dict(type='Pretrained', checkpoint='/data1/pbw/LATR-main/resnet50-19c8e357.pth') By doing so, I successfully run the code. But it stops at operation "Convert model with Sync BatchNorm", and cannot go on. I have taken a screenshot as follows. Could you give me some advice? Thanks for your time.
Hi, thanks for your nice work!
When I run your code, there met a problem.
Because my device is unable to connect to the internet, I download the resnet50 pth pretrained on ImageNet instead of using the mm-pretrain model. This means I change the encoder config
init_cfg=dict(type='Pretrained', checkpoint='torchvision://resnet50')
toinit_cfg=dict(type='Pretrained', checkpoint='/data1/pbw/LATR-main/resnet50-19c8e357.pth')
By doing so, I successfully run the code. But it stops at operation "Convert model with Sync BatchNorm", and cannot go on. I have taken a screenshot as follows.
Could you give me some advice? Thanks for your time.
The text was updated successfully, but these errors were encountered: