Hello there, This is Johnson, and I am now using anaconda with pyinstaller to generate a executable script for linux. And attached condaList is my conda setup and test.py is the script to re-product the issue. I use below command to generate the executable script: pyinstaller --noupx --onedir test.py
The generate script can work in anaconda environment, but when I use it
outside of anaconda, it will get below error information:
[pid 23196]
open("/home/s250_dft_1/users/hongkun/CQScan/sample_input_files/dist/test/test",
O_RDONLY|O_CLOEXEC)
see here
[pid 23196]
open("/home/s250_dft_1/users/hongkun/CQScan/sample_input_files/dist/test/test",
O_RDONLY|O_CLOEXEC)
[pid 23196]
open("/home/s250_dft_1/users/hongkun/CQScan/sample_input_files/dist/test/test",
O_RDONLY|O_CLOEXEC)
[pid 23196] --- SIGSEGV {si_signo=SIGSEGV, si_code=SI_KERNEL, si_addr=0} ---
Fatal Python error: Segmentation fault
Current thread 0x00002b727b55eba0 (most recent call first):
File "<__array_function__ internals>", line 6 in dot
File "site-packages/matplotlib/transforms.py", line 1991 in scale
File "site-packages/matplotlib/figure.py", line 353 in __init__
File "site-packages/matplotlib/backend_bases.py", line 3258 in
new_figure_manager
File "site-packages/matplotlib/pyplot.py", line 545 in figure
File "site-packages/matplotlib/pyplot.py", line 603 in gcf
File "site-packages/matplotlib/pyplot.py", line 919 in gca
File "site-packages/seaborn/matrix.py", line 525 in heatmap
File "test.py", line 15 in <module>
[pid 23196] --- SIGSEGV {si_signo=SIGSEGV, si_code=SI_TKILL, si_pid=23196,
si_uid=30347} ---
[pid 23196] +++ killed by SIGSEGV +++
--- SIGCHLD {si_signo=SIGCHLD, si_code=CLD_KILLED, si_pid=23196,
si_status=SIGSEGV, si_utime=168, si_stime=33}
--- SIGSEGV {si_signo=SIGSEGV, si_code=SI_TKILL, si_pid=23195,
si_uid=30347} ---
+++ killed by SIGSEGV +++
Segmentation fault
Can someone help to check this and give me a hand?
Thanks and have a nice day.
Best regards
Johnson
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import numpy as np
import cv2,re,gzip,os,sys
import seaborn as sns;
import binascii
import faulthandler
faulthandler.enable()
sns.set()
from pylab import savefig
maxRows = 561
maxCols = 461
faultDensityImg = np.zeros((maxRows,maxCols),dtype=np.float)
print ("see here")
ax = sns.heatmap(faultDensityImg, vmin=0, vmax=1,cmap='hot_r')
print ("see here0")
fig = ax.get_figure()
print ("see here1")
fig.savefig('./faultDensityHeatMap.png')
condaList
Description: Binary data
