QixinYan

> Hi, > After modifying the output feature number to 28 in mfcc_rev.py, which is not the correct way to get the feature according to the paper, I can successfully...

> > Hi, > > After modifying the output feature number to 28 in mfcc_rev.py, which is not the correct way to get the feature according to the paper, I...

the same question.....

> > @834799106 I have updated the inference pipeline and README.md, could you follow the instructions to try again? I suggest you first read the inference code to understand it...

sorry for wrong name , fixed

the website is fixed now, I tried some examples on this website, but the results I obtained are significantly different from those presented in the paper. ....... hope to get...

> hi Can you give me a set of detailed parameters to generate high-quality results? examples: prompts, bootstrapping parameter and so on . I have tried many experiments, but the...

> Please note that by default, the bootstrapping parameter is set to 20, as in the application of tight masks. The high bootstrapping parameter encourages high-fidelity to accurate segmentation masks,...