Closed keke-2000 closed 10 months ago
I have solved this problem, thanks
Hi, I am wondering whether your own data is captured by a certain hyperspectral imager and how many channels the data contains? Do you directly used the author's TeX-Net python code to test your own data or you made some modifications to the original code, like the dataloader part? How about the results? Have you compared the TeX-Net results with TeX-SGD results?And do you successfully visualize the results(to get the TeX-vision)? I appreciate it if you're willing to answer my questions.
Hi, 1.the testing hyperspectral dataset is generated by simulations, which contains 7 channels. 2.I do some modifications, add 'test_step' function in model.py 3.the result is bad, because my dataset is quite different from the HADAR dataset, like objects in them, so the Tex-Net's perfommance is poor. 4.I haven't done it, because SGD method is so slow, using near 20 hours on my computer. 5.yes
by the way, I graduated from NJU last year, hhh
校友哈哈哈,感谢及时回复
@keke-2000 请问你有联系方式吗?我们可以交流一下。我的邮箱 cfx2010ep@hotmail.com
Hi, FanglinBao I am very interested in your work, but when I try to input my own hyperspectral data into the HADAR network for testing, I have a problem. I hope to input only hyperspectral data without other data, like T,e,v grountruth, but your code seems to load all these data while not only training and verification, but also testing, which makes me confused.