rozanskit / suppnet Goto Github PK

Hi there,

Currently I am estimating the continuum for each spectrum separately using

cont, cont_err, seg, seg_err = nn.normalize(wave_grid, spectrum)

However, to make use of the efficiency of the neural network, it would be nice if I could feed a batch of spectra at a time. Would this capability be possible?

Thanks!

Hi,

I recently tried to follow the read.me file to install SUPPNET. I created the environment and the symbolic link but when I try to run SUPPNET (either by typing 'SUPPNET' or going to the directory and run 'python3 suppnet.py') this error message appears:

Calling python "/home/trentin/suppnet/suppnet.py"
Traceback (most recent call last):
  File "/home/trentin/suppnet/suppnet.py", line 17, in <module>
    from matplotlib.backends.backend_qt5agg import (
  File "/home/trentin/.local/lib/python3.8/site-packages/matplotlib/backends/backend_qt5agg.py", line 5, in <module>
    from .backend_qtagg import (
  File "/home/trentin/.local/lib/python3.8/site-packages/matplotlib/backends/backend_qtagg.py", line 12, in <module>
    from .backend_qt import (
  File "/home/trentin/.local/lib/python3.8/site-packages/matplotlib/backends/backend_qt.py", line 73, in <module>
    _MODIFIER_KEYS = [
  File "/home/trentin/.local/lib/python3.8/site-packages/matplotlib/backends/backend_qt.py", line 74, in <listcomp>
    (_to_int(getattr(_enum("QtCore.Qt.KeyboardModifier"), mod)),
TypeError: int() argument must be a string, a bytes-like object or a number, not 'KeyboardModifier'

The line in question is:

from matplotlib.backends.backend_qt5agg import (
    FigureCanvasQTAgg as FigureCanvas,
    NavigationToolbar2QT as NavigationToolbar)

But if I try to import this package on python by itself, it works fine.

Thank you in advance.

Hi,

Just a small suggestion. Perhaps it would be nice if the top column was saved with a #. Right now it is saved as wave flux normed_flux normed_error, which can cause TOPCAT (especially TOPCAT!) or np.loadtxt (without skiprows) to interpret it as part of the data and thus a string. Maybe changing it to the # wave flux normed_flux normed_error would make it a tiny bit easier to load normalised data without the need to specify first column as a comment every time? Cheers.

P.S. Thanks a lot for switching to PySide6, it works great on my Mac now.

Hii. I have been using suppnet for a few months, but after recently updating my laptop, it stopped working. I have tried installing the suppnet from the beginning, but it is not able to run-
conda env create -f environment.yml

I have also tried to manually build a new conda environment and install the required packages as mentioned in environment.yml, but I couldn't do it because tensorflow==2.4.0 and matplotlib==3.7.1 require two different versions of numpy. Can you please help me resolve this issue?

Hi,

It seems like PySide2 doesn't support M1/M2 Mac chips. PySide6 seems to support it? Could you look into switching to PySide6 to allow M-chip users to use this tool? Thanks!

Some links where I got some info about this just to get you started:

https://www.pythonguis.com/faq/pyside2-vs-pyside6/
https://stackoverflow.com/questions/58743664/why-do-i-keep-getting-errors-when-i-try-to-install-pyside2-on-windows-pc