Update: 03/29/2023
Description
This is a program for FITS image labeling and categorizing, especially useful for a large amount (~ thousands) of FITS images.
It's written based on the book: Flask Web Development: Developing Web Applications with Python by Miguel Grinberg.
For us, we used it to mark 3658 galaxies from HSC-SSP, with 4 images (g, r, i, RGB) for each galaxy, and saved the results into a FITS table. (See our paper https://iopscience.iop.org/article/10.3847/1538-4365/ac85b1 for more scientific details.)
Additional features: Image contrast adjustment. Statistical tool for counting the number of galaxies in each type.
Installation (Linux)
You should have numpy, matplotlib, astropy, flask, flask-bootstrap, flask-wtf installed first.
(If you meet this problem when you are installing packages listed above (eg:pip install flask-bootstrap) :
Could not fetch URL https://pypi.org/simple/pip/: There was a problem confirming the ssl certificate
try:pip install --trusted-host pypi.org --trusted-host files.pythonhosted.org flask-bootstrap)
Follow chapters 1 to 4 of the book mentioned above (it's easy to read), OR:
In the installation path:
- create a virtual environment (venv):
$ python3 -m venv venv, then activate it:$ source venv/bin/activate (venv) $ export FLASK_APP=main.py(venv) $ export FLASK_ENV=development(venv) $ flask run
Then open localhost:5000/1 from your browser.
Notice: The path to the folder containing FITS images and to the FITS table should be specified in the source code.