Related Issues (20)
- Embeddings
- Error: av_read_frame failed with 1094995529
- Swin-L pretrain
- Can't export ONNX transformer HOT 3
- is there a priority between drop out and patch norm?
- Error found in the code about shift_size calculation
- How much video memory does a single GPU need to run SSV2? I use the 16G ,then it prompt CUDA out of memory
- Pretraining for SSv2
- Code for duplicate the weights pretrained on Imagenet
- Welcome update to OpenMMLab 2.0
- Pretrained Swin-L on Kinects 600 dataset
- How to resolve this error when training with swin_base_patch244_window877_kinetics400_1k.py
- Missing keys in source state_dict: backbone.patch_embed.proj.weight, backbone.patch_embed.proj.bias, and so on.
- size mismatch for cls_head.fc_cls.weight: copying a param with shape torch.Size([400, 1024]) from checkpoint, the shape in current model is torch.Size([101, 1024]).
- How to solve this: AttributeError: 'Recognizer2D' object has no attribute 'demo/label_map_k400'
- TypeError: 'str' object is not callable HOT 2
- IncompatibleKeys appear when I loaded the pretrained 2d model
- Steps to convert mmaction's video-swin-transformer to ONNX successfully HOT 4
- Model weights for Swin-L HOT 1
- inconsistent patch size between swin_tiny.py and pretrained model
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from video-swin-transformer.