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+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_PORT_8080_TCP:tcp://10.109.107.166:8080
+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_PORT_8080_TCP_ADDR:10.109.107.166
+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_PORT_8080_TCP_PORT:8080
+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_SERVICE_HOST:10.109.107.166
+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_SERVICE_PORT:8080
+WS_KSCHUTTE_MLHUB_GPU_PORT:tcp://10.105.54.95:8080
+WS_KSCHUTTE_MLHUB_GPU_PORT_8080_TCP:tcp://10.105.54.95:8080
+WS_KSCHUTTE_MLHUB_GPU_PORT_8080_TCP_ADDR:10.105.54.95
+WS_KSCHUTTE_MLHUB_GPU_PORT_8080_TCP_PORT:8080
+WS_KSCHUTTE_MLHUB_GPU_PORT_8080_TCP_PROTO:tcp
+WS_KSCHUTTE_MLHUB_GPU_SERVICE_HOST:10.105.54.95
+WS_KSCHUTTE_MLHUB_GPU_SERVICE_PORT:8080
+WS_MHE_MLHUB_PORT:tcp://10.98.216.54:8080
+WS_MHE_MLHUB_PORT_8080_TCP:tcp://10.98.216.54:8080
+WS_MHE_MLHUB_PORT_8080_TCP_ADDR:10.98.216.54
+WS_MHE_MLHUB_PORT_8080_TCP_PORT:8080
+WS_MHE_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_MHE_MLHUB_SERVICE_HOST:10.98.216.54
+WS_MHE_MLHUB_SERVICE_PORT:8080
+WS_VCABELI_MLHUB_PORT:tcp://10.102.158.199:8080
+WS_VCABELI_MLHUB_PORT_8080_TCP:tcp://10.102.158.199:8080
+WS_VCABELI_MLHUB_PORT_8080_TCP_ADDR:10.102.158.199
+WS_VCABELI_MLHUB_PORT_8080_TCP_PORT:8080
+WS_VCABELI_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_VCABELI_MLHUB_SERVICE_HOST:10.102.158.199
+WS_VCABELI_MLHUB_SERVICE_PORT:8080
+WS_YFU_MLHUB_PORT:tcp://10.102.150.67:8080
+WS_YFU_MLHUB_PORT_8080_TCP:tcp://10.102.150.67:8080
+WS_YFU_MLHUB_PORT_8080_TCP_ADDR:10.102.150.67
+WS_YFU_MLHUB_PORT_8080_TCP_PORT:8080
+WS_YFU_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_YFU_MLHUB_SERVICE_HOST:10.102.150.67
+WS_YFU_MLHUB_SERVICE_PORT:8080
+XDG_CACHE_HOME:/root/.cache/
+XDG_RUNTIME_DIR:/tmp
+ZSH:/root/.oh-my-zsh
+_:/workspace/macs-ai/.venv/bin/python
+_CE_CONDA:
+_CE_M:
+source:
+2022-12-07 at 17:08:24 | ENV | ****************************************************************************************************
+2022-12-07 at 17:08:24 | ENV | Collecting package versions of conda environment : /opt/conda/bin/conda
+
+2022-12-07 at 17:08:32 | ENV | # This file may be used to create an environment using:
+# $ conda create --name <env> --file <this file>
+# platform: linux-64
+_libgcc_mutex=0.1=conda_forge
+_openmp_mutex=4.5=1_llvm
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+2022-12-07 at 17:08:32 | ENV | ****************************************************************************************************
+2022-12-07 at 17:08:32 | ENV | Collecting package versions of pip environment : /workspace/macs-ai/.venv/bin/pip
+
+2022-12-07 at 17:08:32 | ENV | aiofiles==22.1.0
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diff --git a/features/exp_07_12_2022_17:08:24:907.log b/features/exp_07_12_2022_17:08:24:907.log
new file mode 100644
index 0000000000000000000000000000000000000000..3223c7ceae1434e36f7371afccdec6f4731b764f
--- /dev/null
+++ b/features/exp_07_12_2022_17:08:24:907.log
@@ -0,0 +1,8 @@
+2022-12-07 at 17:08:24 | DEBUG | logging.py:init_logging:108 | User: root @ host : ws-csaillard-mlhub-erlangen
+2022-12-07 at 17:08:32 | INFO | logging.py:init_logging:113 | System and python env info logged to log file ....
+2022-12-07 at 17:08:32 | DEBUG | tile.py:main:83 | python tile.py --cohort TCGA_BLCA --matter_detector_name bunet --extractor_name wide_resnet_50_2_coad_moco_v2 --checkpoint checkpoint-85200 --save_dir /opt/storage/preprocessed/Bladder_Project_Erlangen_data_science/features/
+2022-12-07 at 17:08:32 | INFO | tile.py:main:84 | {'cohort': 'TCGA_BLCA', 'matter_detector_name': 'bunet', 'extractor_name': 'wide_resnet_50_2_coad_moco_v2', 'checkpoint': 'checkpoint-85200', 'device': None, 'mpp': 0.5, 'save_dir': PosixPath('/opt/storage/preprocessed/Bladder_Project_Erlangen_data_science/features'), 'path_coords': None}
+2022-12-07 at 17:08:32 | INFO | tile.py:main:85 | path slides : /opt/storage/preprocessed/Bladder_Project_Erlangen_data_science/slides/TCGA_BLCA
+2022-12-07 at 17:08:32 | INFO | tile.py:main:86 | path save : /opt/storage/preprocessed/Bladder_Project_Erlangen_data_science/features/features_TCGA_BLCA_wide_resnet_50_2_coad_moco_v2/checkpoint-85200/mpp_0.5
+2022-12-07 at 17:08:32 | INFO | tile.py:main:90 | Found 460 slides left to tile
+2022-12-07 at 17:08:32 | INFO | bunet.py:__init__:60 | Loading BUNet from classic-algo's hub.
diff --git a/features/exp_08_12_2022_10:02:32:778.env b/features/exp_08_12_2022_10:02:32:778.env
new file mode 100644
index 0000000000000000000000000000000000000000..f4f10620e1fb65c048017bd39669bd544b003451
--- /dev/null
+++ b/features/exp_08_12_2022_10:02:32:778.env
@@ -0,0 +1,1470 @@
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+SSH_JUMPHOST_TARGET:ws-csaillard-mlhub-erlangen
+SSL_RESOURCES_PATH:/resources/ssl
+SUPERVISOR_ENABLED:1
+SUPERVISOR_GROUP_NAME:jupyter
+SUPERVISOR_PROCESS_NAME:jupyter
+SUPERVISOR_SERVER_URL:unix:///var/run/supervisor.sock
+TBB_NUM_THREADS:32
+TERM:tmux-256color
+TF_FORCE_GPU_ALLOW_GROWTH:true
+TMUX:/tmp//tmux-0/default,4768,0
+TMUX_PANE:%0
+USER_GID:0
+VECLIB_MAXIMUM_THREADS:32
+VIRTUAL_ENV:/workspace/macs-ai/.venv
+VNC_COL_DEPTH:24
+VNC_PW:vncpassword
+VNC_RESOLUTION:1600x900
+WORKSPACE_BASE_URL:/user/csaillard/erlangen
+WORKSPACE_FLAVOR:gpu
+WORKSPACE_HOME:/workspace
+WORKSPACE_PORT:8080
+WORKSPACE_VERSION:0.13.2
+WS_5C8AE82401A26_2D11ED_2D895A_2DAED44DC1C999_MLHUB_PORT:tcp://10.98.81.8:8080
+WS_5C8AE82401A26_2D11ED_2D895A_2DAED44DC1C999_MLHUB_PORT_8080_TCP:tcp://10.98.81.8:8080
+WS_5C8AE82401A26_2D11ED_2D895A_2DAED44DC1C999_MLHUB_PORT_8080_TCP_ADDR:10.98.81.8
+WS_5C8AE82401A26_2D11ED_2D895A_2DAED44DC1C999_MLHUB_PORT_8080_TCP_PORT:8080
+WS_5C8AE82401A26_2D11ED_2D895A_2DAED44DC1C999_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_5C8AE82401A26_2D11ED_2D895A_2DAED44DC1C999_MLHUB_SERVICE_HOST:10.98.81.8
+WS_5C8AE82401A26_2D11ED_2D895A_2DAED44DC1C999_MLHUB_SERVICE_PORT:8080
+WS_ADUPLAIX_MLHUB_PORT:tcp://10.103.37.32:8080
+WS_ADUPLAIX_MLHUB_PORT_8080_TCP:tcp://10.103.37.32:8080
+WS_ADUPLAIX_MLHUB_PORT_8080_TCP_ADDR:10.103.37.32
+WS_ADUPLAIX_MLHUB_PORT_8080_TCP_PORT:8080
+WS_ADUPLAIX_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_ADUPLAIX_MLHUB_SERVICE_HOST:10.103.37.32
+WS_ADUPLAIX_MLHUB_SERVICE_PORT:8080
+WS_AGRIMALDI_MLHUB_PORT:tcp://10.97.18.156:8080
+WS_AGRIMALDI_MLHUB_PORT_8080_TCP:tcp://10.97.18.156:8080
+WS_AGRIMALDI_MLHUB_PORT_8080_TCP_ADDR:10.97.18.156
+WS_AGRIMALDI_MLHUB_PORT_8080_TCP_PORT:8080
+WS_AGRIMALDI_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_AGRIMALDI_MLHUB_SERVICE_HOST:10.97.18.156
+WS_AGRIMALDI_MLHUB_SERVICE_PORT:8080
+WS_BGROSS_MLHUB_PORT:tcp://10.108.87.152:8080
+WS_BGROSS_MLHUB_PORT_8080_TCP:tcp://10.108.87.152:8080
+WS_BGROSS_MLHUB_PORT_8080_TCP_ADDR:10.108.87.152
+WS_BGROSS_MLHUB_PORT_8080_TCP_PORT:8080
+WS_BGROSS_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_BGROSS_MLHUB_SERVICE_HOST:10.108.87.152
+WS_BGROSS_MLHUB_SERVICE_PORT:8080
+WS_BSCHMAUCH_MLHUB_GPU_2DSERVER_PORT:tcp://10.100.155.45:8080
+WS_BSCHMAUCH_MLHUB_GPU_2DSERVER_PORT_8080_TCP:tcp://10.100.155.45:8080
+WS_BSCHMAUCH_MLHUB_GPU_2DSERVER_PORT_8080_TCP_ADDR:10.100.155.45
+WS_BSCHMAUCH_MLHUB_GPU_2DSERVER_PORT_8080_TCP_PORT:8080
+WS_BSCHMAUCH_MLHUB_GPU_2DSERVER_PORT_8080_TCP_PROTO:tcp
+WS_BSCHMAUCH_MLHUB_GPU_2DSERVER_SERVICE_HOST:10.100.155.45
+WS_BSCHMAUCH_MLHUB_GPU_2DSERVER_SERVICE_PORT:8080
+WS_E216B37E01A26_2D11ED_2DAF39_2DAED44DC1C999_MLHUB_PORT:tcp://10.107.155.225:8080
+WS_E216B37E01A26_2D11ED_2DAF39_2DAED44DC1C999_MLHUB_PORT_8080_TCP:tcp://10.107.155.225:8080
+WS_E216B37E01A26_2D11ED_2DAF39_2DAED44DC1C999_MLHUB_PORT_8080_TCP_ADDR:10.107.155.225
+WS_E216B37E01A26_2D11ED_2DAF39_2DAED44DC1C999_MLHUB_PORT_8080_TCP_PORT:8080
+WS_E216B37E01A26_2D11ED_2DAF39_2DAED44DC1C999_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_E216B37E01A26_2D11ED_2DAF39_2DAED44DC1C999_MLHUB_SERVICE_HOST:10.107.155.225
+WS_E216B37E01A26_2D11ED_2DAF39_2DAED44DC1C999_MLHUB_SERVICE_PORT:8080
+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_PORT:tcp://10.109.107.166:8080
+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_PORT_8080_TCP:tcp://10.109.107.166:8080
+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_PORT_8080_TCP_ADDR:10.109.107.166
+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_PORT_8080_TCP_PORT:8080
+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_SERVICE_HOST:10.109.107.166
+WS_E5831170013CC_2D11ED_2D8CA7_2DAED44DC1C998_MLHUB_SERVICE_PORT:8080
+WS_KSCHUTTE_MLHUB_GPU_PORT:tcp://10.105.54.95:8080
+WS_KSCHUTTE_MLHUB_GPU_PORT_8080_TCP:tcp://10.105.54.95:8080
+WS_KSCHUTTE_MLHUB_GPU_PORT_8080_TCP_ADDR:10.105.54.95
+WS_KSCHUTTE_MLHUB_GPU_PORT_8080_TCP_PORT:8080
+WS_KSCHUTTE_MLHUB_GPU_PORT_8080_TCP_PROTO:tcp
+WS_KSCHUTTE_MLHUB_GPU_SERVICE_HOST:10.105.54.95
+WS_KSCHUTTE_MLHUB_GPU_SERVICE_PORT:8080
+WS_MHE_MLHUB_PORT:tcp://10.98.216.54:8080
+WS_MHE_MLHUB_PORT_8080_TCP:tcp://10.98.216.54:8080
+WS_MHE_MLHUB_PORT_8080_TCP_ADDR:10.98.216.54
+WS_MHE_MLHUB_PORT_8080_TCP_PORT:8080
+WS_MHE_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_MHE_MLHUB_SERVICE_HOST:10.98.216.54
+WS_MHE_MLHUB_SERVICE_PORT:8080
+WS_PBANNIER_MLHUB_ERLANGEN_PORT:tcp://10.103.199.22:8080
+WS_PBANNIER_MLHUB_ERLANGEN_PORT_8080_TCP:tcp://10.103.199.22:8080
+WS_PBANNIER_MLHUB_ERLANGEN_PORT_8080_TCP_ADDR:10.103.199.22
+WS_PBANNIER_MLHUB_ERLANGEN_PORT_8080_TCP_PORT:8080
+WS_PBANNIER_MLHUB_ERLANGEN_PORT_8080_TCP_PROTO:tcp
+WS_PBANNIER_MLHUB_ERLANGEN_SERVICE_HOST:10.103.199.22
+WS_PBANNIER_MLHUB_ERLANGEN_SERVICE_PORT:8080
+WS_VCABELI_MLHUB_PORT:tcp://10.102.158.199:8080
+WS_VCABELI_MLHUB_PORT_8080_TCP:tcp://10.102.158.199:8080
+WS_VCABELI_MLHUB_PORT_8080_TCP_ADDR:10.102.158.199
+WS_VCABELI_MLHUB_PORT_8080_TCP_PORT:8080
+WS_VCABELI_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_VCABELI_MLHUB_SERVICE_HOST:10.102.158.199
+WS_VCABELI_MLHUB_SERVICE_PORT:8080
+WS_YFU_MLHUB_PORT:tcp://10.102.150.67:8080
+WS_YFU_MLHUB_PORT_8080_TCP:tcp://10.102.150.67:8080
+WS_YFU_MLHUB_PORT_8080_TCP_ADDR:10.102.150.67
+WS_YFU_MLHUB_PORT_8080_TCP_PORT:8080
+WS_YFU_MLHUB_PORT_8080_TCP_PROTO:tcp
+WS_YFU_MLHUB_SERVICE_HOST:10.102.150.67
+WS_YFU_MLHUB_SERVICE_PORT:8080
+XDG_CACHE_HOME:/root/.cache/
+XDG_RUNTIME_DIR:/tmp
+ZSH:/root/.oh-my-zsh
+_:/workspace/macs-ai/.venv/bin/python
+_CE_CONDA:
+_CE_M:
+source:
+2022-12-08 at 10:02:32 | ENV | ****************************************************************************************************
+2022-12-08 at 10:02:32 | ENV | Collecting package versions of conda environment : /opt/conda/bin/conda
+
+2022-12-08 at 10:02:40 | ENV | # This file may be used to create an environment using:
+# $ conda create --name <env> --file <this file>
+# platform: linux-64
+_libgcc_mutex=0.1=conda_forge
+_openmp_mutex=4.5=1_llvm
+absl-py=0.13.0=pypi_0
+addict=2.4.0=pypi_0
+agate=1.6.2=pypi_0
+agate-dbf=0.2.2=pypi_0
+agate-excel=0.2.3=pypi_0
+agate-sql=0.5.6=pypi_0
+aiohttp=3.7.4.post0=pypi_0
+albumentations=1.0.0=pypi_0
+alembic=1.4.1=pypi_0
+altair=4.1.0=pypi_0
+amply=0.1.4=py_0
+amqp=5.0.6=pypi_0
+aniso8601=7.0.0=pypi_0
+annoy=1.17.0=pypi_0
+ansiwrap=0.8.4=pypi_0
+antlr4-python3-runtime=4.8=pypi_0
+anyio=3.2.1=py38h578d9bd_0
+appdirs=1.4.4=pyh9f0ad1d_0
+apscheduler=3.6.3=pypi_0
+argcomplete=1.12.3=pypi_0
+argon2-cffi=20.1.0=py38h497a2fe_2
+arrow=1.1.1=pypi_0
+asgiref=3.4.1=pypi_0
+astor=0.8.1=pypi_0
+astroid=2.5.6=pypi_0
+astunparse=1.6.3=pypi_0
+async-generator=1.10=pypi_0
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+attrs=21.2.0=pyhd8ed1ab_0
+audioread=2.1.9=pypi_0
+augmentor=0.2.8=pypi_0
+autocfg=0.0.8=pypi_0
+autocommand=2.2.1=pypi_0
+autograd=1.3=pypi_0
+autograd-gamma=0.5.0=pypi_0
+autokeras=1.0.15=pypi_0
+automat=20.2.0=pypi_0
+autopep8=1.5.7=pypi_0
+babel=2.9.1=pyh44b312d_0
+backcall=0.2.0=pyh9f0ad1d_0
+backports=1.0=py_2
+backports.functools_lru_cache=1.6.4=pyhd8ed1ab_0
+banal=1.0.6=pypi_0
+bandit=1.7.0=pypi_0
+base58=2.1.0=pypi_0
+bayesian-optimization=1.2.0=pypi_0
+bcrypt=3.2.0=pypi_0
+beautifulsoup4=4.9.3=pyhb0f4dca_0
+better-exceptions=0.3.3=pypi_0
+billiard=3.6.4.0=pypi_0
+black=21.6b0=pypi_0
+blas=2.109=mkl
+blas-devel=3.9.0=9_mkl
+blaze=0.10.1=pypi_0
+bleach=3.3.0=pyh44b312d_0
+blessings=1.7=pypi_0
+blinker=1.4=pypi_0
+blis=0.7.4=pypi_0
+bokeh=2.3.3=pypi_0
+boltons=21.0.0=pypi_0
+boost=1.76.0=py38hfc89cab_0
+boost-cpp=1.76.0=h312852a_1
+boto3=1.17.101=pypi_0
+botocore=1.20.110=pypi_0
+bottle=0.12.19=pypi_0
+bottleneck=1.3.2=pypi_0
+bpytop=1.0.67=pypi_0
+bqplot=0.12.29=pypi_0
+branca=0.4.2=pypi_0
+brotlipy=0.7.0=py38h497a2fe_1001
+bs4=0.0.1=pypi_0
+bzip2=1.0.8=h7f98852_4
+c-ares=1.17.1=h7f98852_1
+ca-certificates=2022.12.7=ha878542_0
+cachecontrol=0.12.6=pypi_0
+cachetools=4.2.2=pypi_0
+cachy=0.3.0=pypi_0
+cassandra-driver=3.25.0=pypi_0
+catalogue=2.0.4=pypi_0
+category-encoders=2.2.2=pypi_0
+celery=5.1.1=pypi_0
+cerberus=1.3.4=pypi_0
+certifi=2022.12.7=pyhd8ed1ab_0
+certipy=0.1.3=pypi_0
+cffi=1.14.5=pypi_0
+chainer=7.8.0=pypi_0
+chardet=4.0.0=py38h578d9bd_1
+cleo=0.8.1=pypi_0
+click=7.1.2=pypi_0
+click-didyoumean=0.0.3=pypi_0
+click-plugins=1.1.1=pypi_0
+click-repl=0.2.0=pypi_0
+click-spinner=0.1.10=pypi_0
+cliff=3.8.0=pypi_0
+clikit=0.6.2=pypi_0
+cloudant=2.14.0=pypi_0
+cloudpickle=1.6.0=pypi_0
+cma=3.1.0=pypi_0
+cmaes=0.8.2=pypi_0
+cmake=3.20.4=pypi_0
+cmd2=2.1.2=pypi_0
+coincbc=2.10.5=hcee13e7_1
+colorama=0.4.4=pypi_0
+colorcet=2.0.6=pypi_0
+colorlog=5.0.1=pypi_0
+commonmark=0.9.1=pypi_0
+conda=4.10.3=py38h578d9bd_0
+conda-build=3.21.4=py38h578d9bd_0
+conda-package-handling=1.7.3=py38h497a2fe_0
+configargparse=1.5.1=pyhd8ed1ab_0
+configobj=5.0.6=pypi_0
+confuse=1.5.0=pypi_0
+connection_pool=0.0.3=pyhd3deb0d_0
+constantly=15.1.0=pypi_0
+coverage=5.5=pypi_0
+crashtest=0.3.1=pypi_0
+crc32c=2.2.post0=pypi_0
+cryptography=3.4.7=py38ha5dfef3_0
+cssselect=1.1.0=pypi_0
+cssutils=2.3.0=pypi_0
+csvkit=1.0.5=pypi_0
+cudatoolkit=11.2.72=h2bc3f7f_0
+cupy-cuda112=9.2.0=pypi_0
+cx-oracle=8.2.1=pypi_0
+cycler=0.10.0=pypi_0
+cymem=2.0.5=pypi_0
+cysignals=1.10.3=pypi_0
+cython=0.29.23=pypi_0
+cytoolz=0.11.0=pypi_0
+dask=2021.6.2=pypi_0
+dask-glm=0.2.0=pypi_0
+dask-ml=1.9.0=pypi_0
+databricks-cli=0.14.3=pypi_0
+dataclasses=0.6=pypi_0
+dataset=1.5.0=pypi_0
+datashape=0.5.2=pypi_0
+datasketch=1.5.3=pypi_0
+datrie=0.8.2=py38h497a2fe_2
+dbfread=2.0.7=pypi_0
+deap=1.3.1=pypi_0
+debugpy=1.3.0=py38h709712a_0
+decorator=4.4.2=pypi_0
+defusedxml=0.7.1=pyhd8ed1ab_0
+deprecated=1.2.12=pypi_0
+deprecation=2.1.0=pypi_0
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+dm-sonnet=2.0.0=pypi_0
+dm-tree=0.1.6=pypi_0
+docker=5.0.0=pypi_0
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+dparse=0.5.1=pypi_0
+eagerpy=0.29.0=pypi_0
+edward=1.3.5=pypi_0
+einops=0.3.0=pypi_0
+elasticsearch=7.13.2=pypi_0
+elasticsearch-dsl=7.3.0=pypi_0
+eli5=0.11.0=pypi_0
+empyrical=0.5.5=pypi_0
+en-core-web-sm=3.0.0=pypi_0
+entrypoints=0.3=pyhd8ed1ab_1003
+et-xmlfile=1.1.0=pypi_0
+fabric=2.6.0=pypi_0
+facets-overview=1.0.0=pypi_0
+fairseq=0.10.2=pypi_0
+faiss=1.7.0=py38h9ff9125_8_cpu
+faiss-cpu=1.7.0=h718b53a_8
+fake-useragent=0.1.11=pypi_0
+faker=8.8.2=pypi_0
+fastai=2.4=pypi_0
+fastapi=0.65.2=pypi_0
+fastcore=1.3.20=pypi_0
+fastprogress=1.0.0=pypi_0
+fastrlock=0.6=pypi_0
+fasttext=0.9.2=pypi_0
+featuretools=0.25.0=pypi_0
+filelock=3.0.12=pyh9f0ad1d_0
+fire=0.4.0=pypi_0
+flake8=3.9.2=pypi_0
+flashtext=2.7=pypi_0
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+flask-cors=3.0.10=pypi_0
+flatbuffers=1.12=pypi_0
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+gin-config=0.4.0=pypi_0
+gitdb=4.0.7=pyhd3eb1b0_0
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+gluoncv=0.10.3=pypi_0
+gluonnlp=0.10.0=pypi_0
+google-api-core=1.31.0=pypi_0
+google-api-python-client=2.13.0=pypi_0
+google-auth=1.32.1=pypi_0
+google-auth-httplib2=0.1.0=pypi_0
+google-auth-oauthlib=0.4.4=pypi_0
+google-cloud-core=1.7.1=pypi_0
+google-cloud-storage=1.39.0=pypi_0
+google-crc32c=1.1.2=pypi_0
+google-images-download=2.8.0=pypi_0
+google-pasta=0.2.0=pypi_0
+google-resumable-media=1.3.1=pypi_0
+googleapis-common-protos=1.53.0=pypi_0
+googledrivedownloader=0.4=pypi_0
+gpflow=2.2.1=pypi_0
+gpustat=0.6.0=pypi_0
+gputil=1.4.0=pypi_0
+gpytorch=1.5.0=pypi_0
+graphene=2.1.8=pypi_0
+graphql-core=2.3.2=pypi_0
+graphql-relay=2.0.1=pypi_0
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+grip=4.5.2=pypi_0
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+html5lib=1.1=pypi_0
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+httpie=2.4.0=pypi_0
+httplib2=0.19.1=pypi_0
+huggingface-hub=0.0.12=pypi_0
+hydra-core=1.1.0=pypi_0
+hyperframe=5.2.0=pypi_0
+hyperlink=21.0.0=pypi_0
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+icu=68.1=h58526e2_0
+idna=2.10=pyh9f0ad1d_0
+imagehash=4.2.0=pypi_0
+imageio=2.9.0=pypi_0
+imbalanced-learn=0.8.0=pypi_0
+imgaug=0.4.0=pypi_0
+importlib-metadata=4.6.1=py38h578d9bd_0
+importlib-resources=5.2.0=pypi_0
+imutils=0.5.4=pypi_0
+incremental=21.3.0=pypi_0
+inflect=5.3.0=pypi_0
+influxdb=5.3.1=pypi_0
+iniconfig=1.1.1=pypi_0
+interface-meta=1.2.3=pypi_0
+invoke=1.6.0=pypi_0
+ipydatawidgets=4.2.0=pypi_0
+ipyexperiments=0.1.26=pypi_0
+ipykernel=5.5.5=pypi_0
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+ipython=7.24.1=py38hd0cf306_0
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+isort=5.9.1=pypi_0
+itemadapter=0.2.0=pypi_0
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+2022-12-08 at 10:02:40 | ENV | ****************************************************************************************************
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+
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diff --git a/features/exp_08_12_2022_10:02:32:778.log b/features/exp_08_12_2022_10:02:32:778.log
new file mode 100644
index 0000000000000000000000000000000000000000..ebecb35fa410f9f544251c38c2b548115663fc07
--- /dev/null
+++ b/features/exp_08_12_2022_10:02:32:778.log
@@ -0,0 +1,8 @@
+2022-12-08 at 10:02:32 | DEBUG | logging.py:init_logging:108 | User: root @ host : ws-csaillard-mlhub-erlangen
+2022-12-08 at 10:02:40 | INFO | logging.py:init_logging:113 | System and python env info logged to log file ....
+2022-12-08 at 10:02:40 | DEBUG | tile.py:main:83 | python tile.py --cohort TCGA_BLCA --matter_detector_name bunet --extractor_name wide_resnet_50_2_coad_moco_v2 --checkpoint checkpoint-85200 --save_dir /opt/storage/preprocessed/Bladder_Project_Erlangen_data_science/features/
+2022-12-08 at 10:02:40 | INFO | tile.py:main:84 | {'cohort': 'TCGA_BLCA', 'matter_detector_name': 'bunet', 'extractor_name': 'wide_resnet_50_2_coad_moco_v2', 'checkpoint': 'checkpoint-85200', 'device': None, 'mpp': 0.5, 'save_dir': PosixPath('/opt/storage/preprocessed/Bladder_Project_Erlangen_data_science/features'), 'path_coords': None}
+2022-12-08 at 10:02:40 | INFO | tile.py:main:85 | path slides : /opt/storage/preprocessed/Bladder_Project_Erlangen_data_science/slides/TCGA_BLCA
+2022-12-08 at 10:02:40 | INFO | tile.py:main:86 | path save : /opt/storage/preprocessed/Bladder_Project_Erlangen_data_science/features/features_TCGA_BLCA_wide_resnet_50_2_coad_moco_v2/checkpoint-85200/mpp_0.5
+2022-12-08 at 10:02:40 | INFO | tile.py:main:90 | Found 416 slides left to tile
+2022-12-08 at 10:02:40 | INFO | bunet.py:__init__:60 | Loading BUNet from classic-algo's hub.