Closed ClementGold closed 1 year ago
I'm just precise, I used Python 3.11 on a Mac OS Ventura
file "/Users/clement.goldmann/opt/anaconda3/envs/LiCSBAS/lib/python3.11/site-packages/matplotlib/colors.py", line 1056, in from_list r, g, b, a = to_rgba_array(colors).T ^^^^^^^^^^^^^^^^^^^^^ File "/Users/clement.goldmann/opt/anaconda3/envs/LiCSBAS/lib/python3.11/site-packages/matplotlib/colors.py", line 454, in to_rgba_array
I cannot reproduce the error with python3.11.3. Could you please show me the STDOUT of LiCSBAS_check_install.py
?
My environment is:
astropy(5.1) OK
bs4(4.12.2) OK
h5py(3.7.0) OK
matplotlib(3.7.1) OK
numpy(1.24.3) OK
psutil(5.9.0) OK
requests(2.29.0) OK
statsmodels(0.13.5) OK
gdal(3.6.2) OK
Yes here is it :
Python version: 3.11.3 OK
Check required modues and versions astropy(5.2.2) OK bs4(4.12.2) OK h5py(3.8.0) OK matplotlib(3.7.1) OK numpy(1.24.3) OK psutil(5.9.5) OK requests(2.29.0) OK statsmodels(0.13.5) OK gdal(3.6.4) OK
idk if it can be influence but i used the LiCSBAS 1 first and i got an error step 11 so as you mentionned to used the LiCSBAS2 to solve the error I did all installation in the folder LiCSBAS2 and did all the step
Can you try inserting rgbs[rgbs>1] = 1
to https://github.com/yumorishita/LiCSBAS2/blob/9c76a2fbefea03b39c1894460480439632b30877/LiCSBAS_lib/LiCSBAS_tools_lib.py#L138
and running again?
Seems working until process 4
LiCSBAS04op_mask_unw.py ver1.3.5 20210105 Y. Morishita LiCSBAS04op_mask_unw.py -i GEOCml1GACOS -o GEOCml1GACOSmask
ERROR: Neither -r nor -f option is given!
For help, use -h or --help.
I will check the process 4 in my batch command
Thanks. I have updated the code. Regarding the error in step04, you must set at least one of the following three parameters: https://github.com/yumorishita/LiCSBAS2/blob/de5ca0ffab2e7aa76f5c7f8dbfda7de74bf17166/batch_LiCSBAS.sh#L36-L38
I just set 0.2 of the coh thre but I get this error :
FutureWarning: In the future np.bool
will be defined as the corresponding NumPy scalar.
bool_mask = np.zeros((length, width), dtype=np.bool)
Traceback (most recent call last):
File "/Users/clement.goldmann/LiCSBAS/LiCSBAS2/LiCSBAS2/bin/LiCSBAS04op_mask_unw.py", line 325, in np.bool
was a deprecated alias for the builtin bool
. To avoid this error in existing code, use bool
by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations. Did you mean: 'bool_'?
Thank you for reporting the error. I have fixed the bug. Please update your local LiCSBAS2 codes and try again.
That work now,
LiCSBAS11_check_unw.py -d GEOCml1GACOSmaskclip
coh_thre : 0.05 unw_cov_thre : 0.3
Size : 2861 x 2791
Reading unw and cc data... 0/ 76th unw to identify valid area... 0/ 76th cc and unw... /Users/clement.goldmann/LiCSBAS/LiCSBAS2/LiCSBAS2/bin/LiCSBAS11_check_unw.py:232: RuntimeWarning: Mean of empty slice coh_avg_ifg.append(np.nanmean(coh[bool_valid])) # Use valid area only /Users/clement.goldmann/LiCSBAS/LiCSBAS2/LiCSBAS2/bin/LiCSBAS11_check_unw.py:234: RuntimeWarning: invalid value encountered in divide rate_cov = np.array(n_unw_ifg)/n_unw_valid
76/76 ifgs are discarded from further processing.
ifg dates unw_cov coh_av
20210108_20210120 nan nan
20210108_20210225 nan nan
20210120_20210201 nan nan
20210120_20210321 nan nan
20210201_20210213 nan nan
20210201_20210321 nan nan
20210213_20210225 nan nan
20210213_20210321 nan nan
20210213_20210402 nan nan
20210213_20210414 nan nan
20210225_20210321 nan nan
20210225_20210402 nan nan
20210225_20210414 nan nan
20210225_20210426 nan nan
20210321_20210402 nan nan
20210321_20210414 nan nan
20210321_20210426 nan nan
20210321_20210508 nan nan
20210321_20210613 nan nan
20210321_20210625 nan nan
20210402_20210414 nan nan
20210402_20210426 nan nan
20210402_20210508 nan nan
20210402_20210520 nan nan
20210414_20210426 nan nan
20210414_20210508 nan nan
20210414_20210520 nan nan
20210414_20210613 nan nan
20210426_20210508 nan nan
20210426_20210520 nan nan
20210426_20210613 nan nan
20210426_20210625 nan nan
20210508_20210520 nan nan
20210508_20210613 nan nan
20210508_20210625 nan nan
20210508_20210707 nan nan
20210520_20210613 nan nan
20210520_20210625 nan nan
20210520_20210707 nan nan
20210520_20210719 nan nan
20210613_20210625 nan nan
20210613_20210707 nan nan
20210613_20210719 nan nan
20210625_20210707 nan nan
20210625_20210719 nan nan
20210625_20210731 nan nan
20210625_20210812 nan nan
20210707_20210719 nan nan
20210707_20210731 nan nan
20210707_20210812 nan nan
20210707_20210824 nan nan
20210719_20210731 nan nan
20210719_20210812 nan nan
20210719_20210824 nan nan
20210719_20210917 nan nan
20210731_20210812 nan nan
20210731_20210824 nan nan
20210731_20210917 nan nan
20210731_20210929 nan nan
20210812_20210824 nan nan
20210812_20210917 nan nan
20210812_20210929 nan nan
20210824_20210917 nan nan
20210824_20210929 nan nan
20210917_20210929 nan nan
20210917_20211023 nan nan
20210929_20211023 nan nan
20210929_20211104 nan nan
20211023_20211104 nan nan
20211023_20211128 nan nan
20211104_20211128 nan nan
20211104_20211210 nan nan
20211104_20211222 nan nan
20211128_20211210 nan nan
20211128_20211222 nan nan
20211210_20211222 nan nan
Traceback (most recent call last):
File "/Users/clement.goldmann/LiCSBAS/LiCSBAS2/LiCSBAS2/bin/LiCSBAS11_check_unw.py", line 356, in
Should I investigate the above error? It is because no valid pixels are included in the clipped area.
This error indicate a pixel value are not good ? I took 1 year of Jakarta data which normally have enough data, maybe i can change the coherence treshold ?
Changing the coherence treshold doesn't change the result unfortunately
I guess either step03 GACOS, step04 mask, or step05 clip removed all valid pixels. Please check GEOCml1*/*/*.png
and identify which step was wrong.
I guess either step03 GACOS, step04 mask, or step05 clip removed all valid pixels. Please check
GEOCml1*/*/*.png
and identify which step was wrong.
It's the step 04 which doesn't work because on GEOCml1GACOSmask I have no data like :
Here is Gacos PNG
I have removed the part 4 and 5, step 11 work but from 12 that bug :
1st Loop closure check and make png for all possible 94 loops, with 8 parallel processing... 0/ 94th loop...
2nd Loop closure check without bad ifgs to define ref area...
with 8 parallel processing...
0/ 94th loop...
/Users/clement.goldmann/LiCSBAS/LiCSBAS2/LiCSBAS2/bin/LiCSBAS12_loop_closure.py:386: RuntimeWarning: All-NaN slice encountered
refyx = np.where(loop_ph_rms_points_masked==np.nanmin(loop_ph_rms_points_masked))
Traceback (most recent call last):
File "/Users/clement.goldmann/LiCSBAS/LiCSBAS2/LiCSBAS2/bin/LiCSBAS12_loop_closure.py", line 880, in
IndexError: index 0 is out of bounds for axis 0 with size 0
It's maybe a dumb question but to clean all the stuff it's better to remove for example the folder GEOCml1GACOSmask ?
I try on different region, which was Italia Venezia working good and do it again in Indonesia Jakarta area but I needed to clip the area in question
The error in step12 is because all pixels are affected by unwrapping errors.
Seems coming to a precise area because when I clip the error disapears
Seems coming to a precise area because when I clip the error disapears
I tried to work with LiCSBAS (old version) in same area with yours, and it works.
Hi Morishita, may I know what are the differences between LiCSBAS2 ? Should I change to the newer version?
All the changes from LiCSBAS can be found https://github.com/yumorishita/LiCSBAS2/pulls?q=is%3Apr+is%3Aclosed or https://github.com/yumorishita/LiCSBAS2/commits/master. You may use LiCSBAS as long as it works because there are no significant functional changes from LiCSBAS.
All the changes from LiCSBAS can be found https://github.com/yumorishita/LiCSBAS2/pulls?q=is%3Apr+is%3Aclosed or https://github.com/yumorishita/LiCSBAS2/commits/master. You may use LiCSBAS as long as it works because there are no significant functional changes from LiCSBAS.
Thanks. I still use the old one, since there is no issue.
Hello,
I use the batch file.sh and I get this error :
LiCSBAS02_ml_prep.py ver1.7.4 20201119 Y. Morishita LiCSBAS02_ml_prep.py -i GEOC -n 1 Traceback (most recent call last): File "/Users/clement.goldmann/LiCSBAS/LiCSBAS2/LiCSBAS2/bin/LiCSBAS02_ml_prep.py", line 452, in
sys.exit(main())
^^^^^^
File "/Users/clement.goldmann/LiCSBAS/LiCSBAS2/LiCSBAS2/bin/LiCSBAS02_ml_prep.py", line 128, in main
cmap_wrap = tools_lib.get_cmap('cm_insar')
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/clement.goldmann/LiCSBAS/LiCSBAS2/LiCSBAS2/LiCSBAS_lib/LiCSBAS_tools_lib.py", line 417, in get_cmap
_cmap = cm_insar()
^^^^^^^^^^
File "/Users/clement.goldmann/LiCSBAS/LiCSBAS2/LiCSBAS2/LiCSBAS_lib/LiCSBAS_tools_lib.py", line 139, in cm_insar
return LSC.from_list('cm_insar', rgbs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/Users/clement.goldmann/opt/anaconda3/envs/LiCSBAS/lib/python3.11/site-packages/matplotlib/colors.py", line 1056, in from_list
r, g, b, a = to_rgba_array(colors).T
^^^^^^^^^^^^^^^^^^^^^
File "/Users/clement.goldmann/opt/anaconda3/envs/LiCSBAS/lib/python3.11/site-packages/matplotlib/colors.py", line 454, in to_rgba_array
raise ValueError("RGBA values should be within 0-1 range")
ValueError: RGBA values should be within 0-1 range
I precise this step works fine with the LiCSBAS original code, I try now with LiCSBAS2 because I got an error on the step 11.
Best regards, Clément