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Thanks a lot for wrapping up the best segmentation tools and providing upstream and downstream analyses, it's great!
I have successfully installed Opsef 3 using the yaml file with a small tweak (I had to comment out python-graphviz and install it separately later).
I've run the configure notebook without problems however when I try to run the 'OpSeF_IV_Run_001' notebook I'm stuck at importing packages with the following error. It happens when I import cellpose, mxnet and tensorflow later.
Is this linked to OpSeF requiring a GPU? Is a CPU installation avaliable?
Thanks in advance for your help.
Best,
Tancredi
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
<ipython-input-7-825adcf56a6e> in <module>
41
42 # for cellpose
---> 43 from cellpose import models as cp_models
44 from cellpose import utils as cp_utils
45 from cellpose import plot, transforms
~/miniconda3/envs/opsef003/lib/python3.6/site-packages/cellpose/models.py in <module>
9 import cv2
10
---> 11 from mxnet import gluon, nd
12 from mxnet.gluon import nn
13 import mxnet as mx
~/miniconda3/envs/opsef003/lib/python3.6/site-packages/mxnet/__init__.py in <module>
22 from __future__ import absolute_import
23
---> 24 from .context import Context, current_context, cpu, gpu, cpu_pinned
25 from . import engine
26 from .base import MXNetError
~/miniconda3/envs/opsef003/lib/python3.6/site-packages/mxnet/context.py in <module>
22 import warnings
23 import ctypes
---> 24 from .base import classproperty, with_metaclass, _MXClassPropertyMetaClass
25 from .base import _LIB
26 from .base import check_call
~/miniconda3/envs/opsef003/lib/python3.6/site-packages/mxnet/base.py in <module>
211 __version__ = libinfo.__version__
212 # library instance of mxnet
--> 213 _LIB = _load_lib()
214
215 # type definitions
~/miniconda3/envs/opsef003/lib/python3.6/site-packages/mxnet/base.py in _load_lib()
202 """Load library by searching possible path."""
203 lib_path = libinfo.find_lib_path()
--> 204 lib = ctypes.CDLL(lib_path[0], ctypes.RTLD_LOCAL)
205 # DMatrix functions
206 lib.MXGetLastError.restype = ctypes.c_char_p
~/miniconda3/envs/opsef003/lib/python3.6/ctypes/__init__.py in __init__(self, name, mode, handle, use_errno, use_last_error)
346
347 if handle is None:
--> 348 self._handle = _dlopen(self._name, mode)
349 else:
350 self._handle = handle
OSError: libcudart.so.10.0: cannot open shared object file: No such file or directory
The text was updated successfully, but these errors were encountered:
Hi Dr Rasse,
Thanks a lot for wrapping up the best segmentation tools and providing upstream and downstream analyses, it's great!
I have successfully installed Opsef 3 using the yaml file with a small tweak (I had to comment out python-graphviz and install it separately later).
I've run the configure notebook without problems however when I try to run the 'OpSeF_IV_Run_001' notebook I'm stuck at importing packages with the following error. It happens when I import cellpose, mxnet and tensorflow later.
Is this linked to OpSeF requiring a GPU? Is a CPU installation avaliable?
Thanks in advance for your help.
Best,
Tancredi
The text was updated successfully, but these errors were encountered: