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g2lgan's Issues

visualization.

Thanks for your review again.I want to visualize the gen_32 data in the input_data dataset, which is the .mat data, so I used the visual .mat tool to run, but when I click open and open gen_32, I find that the reality is an empty file, and the page is There are no realistically readable files. By the way,I would like to ask, will the network input model strictly accept the resolution? If the initial model resolution is very high, what is the time complexity and memory usage?

some problems about part_refiner

Thanks for your code,but when I use the file that named seperate_part_mat.py,the iteration seems to be going on all the time, I ran for a day, but in the end RAM was completely occupied and forced to stop, so I would like to ask what is going on. I noticed that some decompiled files will be generated after decompressing input_data. Which files need to be deleted?

about the result

hello, when you get the result of the model's by the G2LGAN networks, how to put the parts together to become the complete model.

some issues about input_data dataset

Excuse me, When I download the input_data dataset, I find it is a *.gz file. When I unzipped this file, I found that there are some attached files. For example, when *.mat is generated, a file with the same name with the prefix name ._ will be generated. I want to ask if I need to delete it. If I don't delete it, run it directly. Value Error: Mat 4 mopt wrong format, byteswapping problem?

DATASET

could you please provide more kinds of dataset? thanks : )

About the tool of visual tool

Thanks for providing two different visual tools, .mat and .npy. But I can only use the .npy tool.When I use the tool of .mat, it can not read the file of .mat.Could you please tell me how to use it?I am very interesed about it. :-)

The test data about Part Refiner

When I read your paper, I find you reconstruct a new dataset called test dataset.The part refiner will ues the dataset to trian.So, could you please upload the dataset,if not ,how to create the datastet?
Thanks for your reading. : )

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