Open yo3nglau opened 3 days ago
That's a good question. From a practical standpoint, it indeed shouldn't be necessary to spread tasks across different weights. I will try to re-fine-tune the weights soon and provide relevant explanations, aiming to simplify usage issues as much as possible 这是一个好问题。从实际用途而言,的确应该是不需要把不同类型的任务散布在不同权重当中,我会在近期尝试重新微调一份权重并给出相关说明,作为示例争取尽可能地简化使用上的问题。
Hi @ShellRedia ,
Thanks for your quick response. Does your answer mean to release a generalist model? It would be great to witness it. Please allow me to state my question again: I want to know how to infer without given prompts generated from GT labels (e.g., for a custom dataset that has no GT labels).
I have added the prediction code, weights, and relevant instructions in the README. I hope that running the code will help you find the answers you're looking for. 我已经增添了预测代码,权重,和README中的相关说明。希望通过运行代码可以找到您要的答案。
Hi @ShellRedia ,
As stated in #5 and even early #4, what should be done if one would like to test without any prompts? I tried to add constant points like [-100, -100, 0], which is obviously a negative point prompt, but it did not work (an empty mask was generated). Could you provide guidance on implementing no prompt testing in the paper?
Thanks for your contribution. I look forward to hearing back from you soon.
Best, Yo3ng