Can you provide some instructions for running evaluation and generating layouts on the vg_msdn dataset (I already trained my own model)? I have been trying to do that using the inference_vg_msdn.py file, however I get the following error:
Traceback (most recent call last):
File "inference/inference_vg_msdn.py", line 447, in <module>
infer.check_from_model(100, dataset, model, self_input_dict = self_input_dict)
TypeError: check_from_model() got an unexpected keyword argument 'self_input_dict'
There seems to be a conflict of function parameters for check_from_model() here:
|
def check_from_model(self, dataset_idx, dataset, model, random=False, layout_save=None): |
I am able to run evaluation from train.py but accuracies/stats show 0% and no layout is generated. I used the other script because I could customize my own scene graph.
I have also found vis.py for generating layouts but there are several command line options I am uncertain of how to set. If this is the better place to do layout, can you provide instructions for this (please)?
Can you provide some instructions for running evaluation and generating layouts on the vg_msdn dataset (I already trained my own model)? I have been trying to do that using the inference_vg_msdn.py file, however I get the following error:
There seems to be a conflict of function parameters for check_from_model() here:
LayoutTransformer/inference/inference_vg_msdn.py
Line 77 in 23c940a
I am able to run evaluation from train.py but accuracies/stats show 0% and no layout is generated. I used the other script because I could customize my own scene graph.
I have also found vis.py for generating layouts but there are several command line options I am uncertain of how to set. If this is the better place to do layout, can you provide instructions for this (please)?