RayYoh

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> Hi @RayYoh , Yes, i think elastic transform gives like +4 for OneFormer3D and for SPFormer also. No semantic segmentation doesn't have positive impact on instance segmentation metrics. Also...

Yeah, thanks for your suggestion. Additionally, I am confused about the results of the checkpoint in the repo. It seems that the instance segmentation result is better than the original...

> Could you tell me how to load a model instead of training whole process? I found that although I write the same exp name and there exactly exist an...

> ![Capture d’écran 2024-05-14 122816](https://private-user-images.githubusercontent.com/148089012/330388678-d8daf71a-bc08-42f0-8654-bf544cd3ed0c.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3MTU2ODkzNzcsIm5iZiI6MTcxNTY4OTA3NywicGF0aCI6Ii8xNDgwODkwMTIvMzMwMzg4Njc4LWQ4ZGFmNzFhLWJjMDgtNDJmMC04NjU0LWJmNTQ0Y2QzZWQwYy5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQwNTE0JTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MDUxNFQxMjE3NTdaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT0wYjhjODRkYTBiZjNhM2M2YWVlNGZlYmQ1YzJjYTEzN2ViMDMyMWUxNTY3MGFkZTlmZTJlOTczNDA2OTE1NDg4JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCZhY3Rvcl9pZD0wJmtleV9pZD0wJnJlcG9faWQ9MCJ9.-a959IP9R_f51n_pFNIxuFdklyQt1q_0xRliPpXPLI0) Hello, Could you please help me understand why these issues are arising and suggest possible solutions? Thank you for your time and assistance. I guess...

Yeah, it's true the order doesn't matter. But I have not understood the distortion parameters, I mean granularity and magnitude. Which have different scales. [[6, 40], [20, 160]] vs [[0.2,...

Alright, thanks for your reply.

Hope this is helpful for you. ``` @HOOKS.register_module() class CustomInformationWriter(InformationWriter): def __init__(self, interval=1, key=("loss", )): super().__init__() self.interval = interval self.logger_key = key def after_step(self): if "model_output_dict" in self.trainer.comm_info.keys(): model_output_dict =...

> Hi, this is an existing issue I will try to solve in a future version (#103), so you can try to remove S3DIS from the joint training list as...

> > > Hi, this is an existing issue I will try to solve in a future version (#103), so you can try to remove S3DIS from the joint training...

Thanks for your prompt response. For the fluctuated GPU utilization, I mean sometimes the utilization will be 0 (just occasional). I guess it may also be caused by complex data...