The same script I used successfully last week to preprocess the images isn't working now with the following error (which is not due to not having the relevant packages installed as you see in the first two install commands):
(saturn) jovyan@jupyter-assafmagen-2dpathflowai:~$ /srv/conda/envs/saturn/bin/pip install dask_imageRequirement already satisfied: dask_image in /srv/conda/envs/saturn/lib/python3.6/site-packages (0.2.0)
Requirement already satisfied: dask[array]>=0.16.1 in /srv/conda/envs/saturn/lib/python3.6/site-packages (from dask_image) (2.12.0)
Requirement already satisfied: scipy>=0.19.1 in /srv/conda/envs/saturn/lib/python3.6/site-packages (from dask_image) (1.4.1)
Requirement already satisfied: pims>=0.4.1 in /srv/conda/envs/saturn/lib/python3.6/site-packages (from dask_image) (0.4.1)
Requirement already satisfied: numpy>=1.11.3 in /srv/conda/envs/saturn/lib/python3.6/site-packages (from dask_image) (1.18.1)
Requirement already satisfied: toolz>=0.7.3; extra == "array" in /srv/conda/envs/saturn/lib/python3.6/site-packages (from dask[array]>=0.16.1->dask_image) (0.10.0)
Requirement already satisfied: slicerator>=0.9.7 in /srv/conda/envs/saturn/lib/python3.6/site-packages (from pims>=0.4.1->dask_image) (1.0.0)
Requirement already satisfied: six>=1.8 in /srv/conda/envs/saturn/lib/python3.6/site-packages (from pims>=0.4.1->dask_image) (1.14.0)
(saturn) jovyan@jupyter-assafmagen-2dpathflowai:~$ pathflowai-preprocess preprocess_pipeline -odb patch_information.db --preprocess --patches --basename Li63NDCLAMP --input_dir /home/jovyan/project/PFAI_inputs --patch_size 512 --intensity_threshold 45. -tc 7 -t 0.05
nonechucks may not work properly with this version of PyTorch (1.5.0). It has only been tested on PyTorch versions 1.0, 1.1, and 1.2
Traceback (most recent call last):
File "/srv/conda/envs/saturn/bin/pathflowai-preprocess", line 8, in <module>
sys.exit(preprocessing())
File "/srv/conda/envs/saturn/lib/python3.6/site-packages/click/core.py", line 722, in __call__
return self.main(*args, **kwargs)
File "/srv/conda/envs/saturn/lib/python3.6/site-packages/click/core.py", line 697, in main
rv = self.invoke(ctx)
File "/srv/conda/envs/saturn/lib/python3.6/site-packages/click/core.py", line 1066, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/srv/conda/envs/saturn/lib/python3.6/site-packages/click/core.py", line 895, in invoke
return ctx.invoke(self.callback, **ctx.params)
File "/srv/conda/envs/saturn/lib/python3.6/site-packages/click/core.py", line 535, in invoke
return callback(*args, **kwargs)
File "/srv/conda/envs/saturn/lib/python3.6/site-packages/pathflowai/cli_preprocessing.py", line 83, in preprocess_pipeline
transpose_annotations=transpose_annotations)
File "/srv/conda/envs/saturn/lib/python3.6/site-packages/pathflowai/utils.py", line 322, in run_preprocessing_pipeline
arr, masks = load_process_image(svs_file, xml_file, npy_mask, annotations, transpose_annotations)
File "/srv/conda/envs/saturn/lib/python3.6/site-packages/pathflowai/utils.py", line 267, in load_process_image
arr = load_image(svs_file)#npy2da(svs_file) if (svs_file.endswith('.npy') or svs_file.endswith('.h5')) else svs2dask_array(svs_file, tile_size=1000, overlap=0)#load_image(svs_file)
File "/srv/conda/envs/saturn/lib/python3.6/site-packages/pathflowai/utils.py", line 238, in load_image
return (npy2da(svs_file) if (svs_file.endswith('.npy') or svs_file.endswith('.h5')) else svs2dask_array(svs_file, tile_size=1000, overlap=0))
File "/srv/conda/envs/saturn/lib/python3.6/site-packages/pathflowai/utils.py", line 131, in svs2dask_array
return dask_image.imread.imread(svs_file)
NameError: name 'dask_image' is not defined
Is this due to a recent update? (I'm installing the package in each new session so I always pull the most current version). What's the fastest way to address this?
Hi @jlevy44
The same script I used successfully last week to preprocess the images isn't working now with the following error (which is not due to not having the relevant packages installed as you see in the first two install commands):
Is this due to a recent update? (I'm installing the package in each new session so I always pull the most current version). What's the fastest way to address this?
Thanks