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First of all, excellent repo - thanks very much for the awesome contribution to the ml community!
When running running eval on seg_base_deit_mask (via python -m segm.eval.miou checkpoints/seg_base_deit_mask/checkpoint.pth ade20k --multiscale), I am getting an error:
Starting process with rank 0...
Process 0 is connected.
All processes are connected.
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/.../segmenter/segm/eval/miou.py", line 279, in <module>
main()
File "/home/.../segmenter/pyenv/lib/python3.8/site-packages/click/core.py", line 1128, in __call__
return self.main(*args, **kwargs)
File "/home/.../segmenter/pyenv/lib/python3.8/site-packages/click/core.py", line 1053, in main
rv = self.invoke(ctx)
File "/home/.../segmenter/pyenv/lib/python3.8/site-packages/click/core.py", line 1395, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/home/.../segmenter/pyenv/lib/python3.8/site-packages/click/core.py", line 754, in invoke
return __callback(*args, **kwargs)
File "/home/.../segmenter/segm/eval/miou.py", line 226, in main
model, variant = load_model(model_path)
File "/home/.../segmenter/segm/model/factory.py", line 119, in load_model
model = create_segmenter(net_kwargs)
File "/home/.../segmenter/segm/model/factory.py", line 106, in create_segmenter
encoder = create_vit(model_cfg)
File "/home/.../segmenter/segm/model/factory.py", line 67, in create_vit
model = VisionTransformer(**model_cfg)
TypeError: __init__() got an unexpected keyword argument 'mlp_ratio'
This is happening with both single and multi scale. This seems to be stemming from the mlp_ratio key in the located in the yml config.
As I keep poking around, if I find a solution I'll submit a PR.
Thanks again for the repo 👍
The text was updated successfully, but these errors were encountered:
First of all, excellent repo - thanks very much for the awesome contribution to the ml community!
When running running eval on seg_base_deit_mask (via
python -m segm.eval.miou checkpoints/seg_base_deit_mask/checkpoint.pth ade20k --multiscale
), I am getting an error:This is happening with both single and multi scale. This seems to be stemming from the
mlp_ratio
key in the located in the yml config.As I keep poking around, if I find a solution I'll submit a PR.
Thanks again for the repo 👍
The text was updated successfully, but these errors were encountered: