Comments (5)
kavyasreedhar
commented on July 27, 2024
Just an update on the training front -- it looks like the in_index parameter in decode_heads.py is hard-coded to 23 somewhere...forcing that to always be -1 (the default value) appears to fix the problem for training with only 12 layers.
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sixiaozheng
commented on July 27, 2024
Thanks for your question. Will provide the model and config after the holiday.
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kavyasreedhar
commented on July 27, 2024
Sounds good, thank you!
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kavyasreedhar
commented on July 27, 2024
Hi, I just wanted to check if you could please provide the model and config? Thank you!
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sixiaozheng
commented on July 27, 2024
We have provided the config files and model link for SETR-Naive-Base.
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Related Issues (20)
- image size doesn't match model HOT 1
- MMCV Error(mmcv-full 1.2.2 torch1.6 python3.7) HOT 3
- Can you share the iter_40000.pth file？
- Which checkpoint file is the best? HOT 1
- AttributeError: 'DataContainer' object has no attribute 'shape' HOT 1
- error for using dist_train.sh HOT 2
- typo in Dockerfile HOT 1
- mmcv error ,python3.7.0,pytorch 1.9.1，windows HOT 2
- about single GPU HOT 1
- could you share the demo of SETR? HOT 1
- ZeroDivisionError: integer division or modulo by zero HOT 1
- Questions about "cls_token" and "pos_embed" in the code HOT 10
- multi-scale testing
- Difference with ViT
- 单GPU问题
- RecursionError while training the custom dataset
- ImportError: cannot import name 'container_abcs' from 'torch._six'
- RuntimeError: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED
- Batch size modification HOT 3
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