def _execute_script(*args, **kwargs):
# Log file
# log = StreamToLogger(logging.getLogger('STDOUT'), name=logging_name, log_level=logging.INFO)
# sys.stdout = log
log = StreamToLogger(logging.getLogger('STDERR'), name=logging_name, log_level=logging.ERROR)
sys.stderr = log
# Display progress
display_progress()
# Execute
try:
with Timer() as computing_time:
script(*args, **kwargs)
except Exception as e:
print("\nJob stopped. Some error occurred. See log file '%s' for details" % log.path)
raise RuntimeError("SubModel stopped because of:\n %s" % e)
else:
# Print everything's ok
print("\nJob successfully completed in %s" % computing_time)
print("See log file '%s' for further details" % log.path)
""" Module summary description.
More detailed description.
"""
__author__ = 'Benjamin Pillot'
__copyright__ = 'Copyright 2019, Benjamin Pillot'
__email__ = '*****@*****.**'
from fototex.foto import Foto
from utils.sys.timer import Timer
from matplotlib import pyplot as plt
# test2 = Foto("/home/benjamin/Desktop/APUREZA/FOTO/Images/SUBSET_PLEIADES_20160915_Pan.tif", method="moving")
# test2 = Foto("//home/benjamin/Desktop/APUREZA/FOTO/Images/IMG_SPOT7_PMS_2018.TIF", band=4, method="moving",
# in_memory=False)
test2 = Foto(
"/home/benjamin/Desktop/APUREZA/FOTO/Images/IMG_SPOT6_PMS_2013.TIF",
band=4,
method="moving",
in_memory=False)
for w_size in [13]:
with Timer() as t:
test2.run(w_size, progress_bar=True, sklearn_pca=True)
print("spent time (%d): %s" % (w_size, t))
test2.save_rgb(progress_bar=True)
# test2.save_rgb(f"/home/benjamin/Desktop/APUREZA/FOTO/rgb/rgb_spot_moving_{w_size}.tif", progress_bar=True)
# test2.fit_transform(test, progress_bar=True)
# plt.pcolor(test2.rgb[:, :, 0])
# plt.imshow(test2.rgb)
# plt.show()