Model parameter descriptions
jonathan-roberts1 opened this issue · comments
Hi Boyi,
Thanks a lot for releasing the code for LSeg!
I’ve been having a play around using the demo code + model in a zero-shot setting and just have a few (hopefully quick) questions about some of the model parameters.
Could you please give a brief overview (description, where the default values originate, what the optimum values might be) of the following parameters used in the LSeg_MultiEvalModule:
1. ‘scales’ - e.g., lseg_app.py Line 315
2. (‘base_size’ - e.g., additional_utils/models.py Line 28)
3. ‘crop_size’ - e.g., additional_utils/models.py Line 29
And this parameter used in the LSegNet class:
5. scale_factor - e.g., module/models/lseg_net.py Line 216 (this has a default value of 0.5 and is different to the scale_factor parameter that is passed to 'Interpolate')
Thanks!
Hi @jonathan-roberts1 ,
Thanks for your interest in LSeg!
Regarding the parameters, all these factors keep the same policy with DPT for the semantic segmentation settings.
Hope this helps!
Best,
Boyi