05/25/18 [python3-imagej-tiff][master] by Oleg Dzhimiev: 1. parse xml data 2. stack tiles 3. 8bpp and 32bpp 4. extract values from specific layer named 'other' 5. test 8bpp against corresponding 32bpp
Oleg Dzhimiev committed changes to the Elphel git project :
1. parse xml data 2. stack tiles 3. 8bpp and 32bpp 4. extract values from specific layer named 'other' 5. test 8bpp against corresponding 32bpp
1. parse xml data 2. stack tiles 3. 8bpp and 32bpp 4. extract values from specific layer named 'other' 5. test 8bpp against corresponding 32bpp
Tensorflow with gpu
← Older revision
Revision as of 07:36, 25 May 2018
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https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=deblocal https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=deblocal
* then * then
− sudo apt-get install cuda-9-0+ sudo apt-get install cuda-9-2 # included on that NVidia page
https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions
* *
− ~$ export PATH=/usr/local/cuda-9.0/bin${PATH:+:${PATH}}+ ~$ export PATH=/usr/local/cuda-9.2/bin${PATH:+:${PATH}}
− ~$ export LD_LIBRARY_PATH=/usr/local/cuda-9.0/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}+ ~$ export LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}
* *
~$ nvidia-smi ~$ nvidia-smi
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* install tensorflow * install tensorflow
+ ~$ sudo apt-get install python3-pip # if it is not already installed
+
~$ sudo pip3 install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.7.0-cp35-cp35m-linux_x86_64.whl ~$ sudo pip3 install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-1.7.0-cp35-cp35m-linux_x86_64.whl
Andrey.filippov
05/24/18 [imagej-elphel][gpu] by AndreyFilippov: Dealing with low-textured areas with dual quad camera
AndreyFilippov committed changes to the Elphel git project :
Dealing with low-textured areas with dual quad camera
Dealing with low-textured areas with dual quad camera
05/22/18 [imagej-elphel][gpu] by AndreyFilippov: added preliminary inter-camera correlation, but it is not working yet
AndreyFilippov committed changes to the Elphel git project :
added preliminary inter-camera correlation, but it is not working yet
added preliminary inter-camera correlation, but it is not working yet
Eyesis4Pi workflow
← Older revision
Revision as of 20:20, 21 May 2018
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|style="padding:0px 15px 0px 15px;"| Setting up paths and shooting parameters |style="padding:0px 15px 0px 15px;"| Setting up paths and shooting parameters
|align="center" | 0-1 |align="center" | 0-1
−|style="padding:0px 15px 0px 15px;"| Initial settings can take longer time of course+|style="padding:0px 15px 0px 15px;"| Initial settings can take longer time
|- |-
|align="center" | 8 |align="center" | 8
Oleg
Eyesis4Pi 393 workflow
Workflow
← Older revision Revision as of 20:19, 21 May 2018 Line 28: Line 28: |align="center" | - |align="center" | - |align="center" | [[Eyesis4Pi 393 User Guide - Recording|Web GUI]] |align="center" | [[Eyesis4Pi 393 User Guide - Recording|Web GUI]] −|style="padding:0px 15px 0px 15px;"| Initial settings can take longer time of course+|style="padding:0px 15px 0px 15px;"| Initial settings can take longer time |- |- |align="center" valign="top" | 5 |align="center" valign="top" | 5 Oleg05/19/18 [imagej-elphel][dct] by AndreyFilippov: Implemented 8bpp mode for ML output
AndreyFilippov committed changes to the Elphel git project :
Implemented 8bpp mode for ML output
Implemented 8bpp mode for ML output
05/19/18 [imagej-elphel][gpu] by AndreyFilippov: Added 32-bit tiff output for ML data
AndreyFilippov committed changes to the Elphel git project :
Added 32-bit tiff output for ML data
Added 32-bit tiff output for ML data
05/18/18 [elphel-apps-imgsrv][master] by Oleg Dzhimiev: added base channel for filename for multicam systems
Oleg Dzhimiev committed changes to the Elphel git project :
added base channel for filename for multicam systems
added base channel for filename for multicam systems
05/17/18 [python3-imagej-tiff][master] by Oleg K Dzhimiev: Add LICENSE
Oleg K Dzhimiev committed changes to the Elphel git project :
Add LICENSE
Add LICENSE
05/17/18 [python3-imagej-tiff][master] by Oleg Dzhimiev: initial
Oleg Dzhimiev committed changes to the Elphel git project :
initial
initial
05/17/18 [python3-imagej-tiff][master] by Oleg K Dzhimiev: Update README.md
Oleg K Dzhimiev committed changes to the Elphel git project :
Update README.md
Update README.md
05/17/18 [python3-imagej-tiff][master] by Oleg K Dzhimiev: Update README.md
Oleg K Dzhimiev committed changes to the Elphel git project :
Update README.md
Update README.md
05/17/18 [python3-imagej-tiff][master] by Oleg K Dzhimiev: Update README.md
Oleg K Dzhimiev committed changes to the Elphel git project :
Update README.md
Update README.md
05/17/18 [python3-imagej-tiff][master] by Oleg K Dzhimiev: Update README.md
Oleg K Dzhimiev committed changes to the Elphel git project :
Update README.md
Update README.md
05/17/18 [python3-imagej-tiff][master] by Oleg K Dzhimiev: Add README.md
Oleg K Dzhimiev committed changes to the Elphel git project :
Add README.md
Add README.md
File:10386 gerber.zip
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New page
Andrey.filippovFile:10386 gerber.tar.gz
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New page
== Licensing =={{CERN OHLv1.1 }} Andrey.filippov
File:103984 gerber.zip
Andrey.filippov uploaded File:103984 gerber.zip
New page
Andrey.filippovFile:103984 gerber.tar.gz
Andrey.filippov uploaded a new version of File:103984 gerber.tar.gz
New page
== Licensing =={{CERN OHLv1.1 }} Andrey.filippov
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