zjcv / zcls Goto Github PK

or convert the pretrained model from the official repo?

I clicked on the link for installation and the page does not have any instructions for install: https://zcls.readthedocs.io/install.html

Hi,
I'm interested in your structural reparameterization implementation but cannot find it in your repo. Did I miss it? Can you help?
Thanks!

Very nice work!
I find that the test_resnet50_dbb() test cannot pass in test_resnetZCls/tests/test_model/test_layer/test_dbblock.py, while the test_dbb_helper() works fine. The diff is bigger than 1. Any ideas what can cause this bug?
Thanks a lot!

It's a nice work!! But I have a few questions might need you to answer:

1. For the ZCLS version of “resnest50_fast_2s1x64d” and the Official version, the only difference is the FEATURE_DIMS obtained by backbone? I observed that the ZCLS version is 2048 and the official version is 1024. Are there any other differences?
2. The “resnest50_fast_2s1x64d” pretrained model you provided in Baidu Cloud Disk is ZCLS version? Could you provide an official version pretrained model in this table?
3. The last and most important question, if I want to use your pretraining model ("resnest50_fast_2s1x64d" for me) to train custom data, how do I set the learning rate to get the best performance? (Multi-GPU training)

Your network is very great.I want to regard it as backbone.Need to load pre-training parameters？
For Example？I use ResNet，load resnet50-19c8e357.pth
Can you help?Thanks！

Hi,

I'm new to this fantastic work. When I tried to test the inference accuracy of resnet-18 with r18_torchvision_imagenet_224.yaml/r18_zcls_imagenet_224.yaml, the result accuracy is 68.136%, which is lower than your reported result, 69.22%. I wonder if I need to modify the config file or anything else?

Really looking forwards to your reply! Thanks a lot for your contribution to the open-source community!