Wiki Recent Changes

Tiff file format for pre-processed quad-stereo sets

Wed, 07/11/2018 - 15:48

‎TIFF stacks for ML

← Older revision Revision as of 21:48, 11 July 2018 (15 intermediate revisions by the same user not shown)Line 3: Line 3: '''1527256903_350165/''' '''1527256903_350165/''' ├── 1527256903_350165.kml ├── 1527256903_350165.kml − ├── '''jp4'''+ ├── '''jp4''' (source files directory) │ ├── 1527256903_350165_0.jp4 │ ├── 1527256903_350165_0.jp4 │ ├── ... │ ├── ... Line 12: Line 12: ├── rating.txt ├── rating.txt ├── thumb.jpeg ├── thumb.jpeg − └── '''v03'''+ └── '''v03''' (model version) ├── 1527256903_350165-00-D0.0.jpeg ├── 1527256903_350165-00-D0.0.jpeg ├── ... ├── ... Line 26: Line 26: ├── 1527256903_350165.obj ├── 1527256903_350165.obj ├── 1527256903_350165.x3d ├── 1527256903_350165.x3d − └── '''ml'''+ └── '''ml''' (directory with processed data files for ML) ├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-2.00000.tiff ├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-2.00000.tiff ├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-1.00000.tiff ├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-1.00000.tiff Line 34: Line 34: where: where: * '''*.jp4''' - source files, 0..3 - quad stereo camera #1, 4..7 - quad stereo camera #2, and so on if there are more cameras in the system. * '''*.jp4''' - source files, 0..3 - quad stereo camera #1, 4..7 - quad stereo camera #2, and so on if there are more cameras in the system. −* '''*-D0.0.jpeg''' - disparity = 0, images are undistorted to a common polynom+* '''*-D0.0.jpeg''' - disparity = 0, images are undistorted to a distortion polynom common for each image * '''*.corr-xml''' - ImageJ plugin's settings file? * '''*.corr-xml''' - ImageJ plugin's settings file? * '''*-DSI_COMBO.tiff''' - Disparity Space Image - tiff stack * '''*-DSI_COMBO.tiff''' - Disparity Space Image - tiff stack Line 40: Line 40: * '''*.x3d, *.png''' - X3D format model with textures. The textures are shared with the OBJ format model * '''*.x3d, *.png''' - X3D format model with textures. The textures are shared with the OBJ format model * '''*.obj, *.mtl, *.png''' - OBJ format model with textures * '''*.obj, *.mtl, *.png''' - OBJ format model with textures −* '''ml/*.tiff''' - TIFF stack of pre-processed images for ML+* '''*.tiff''' - TIFF stack of pre-processed images for ML * *.kml, rating.txt, thumb.jpeg - files, related to the online viewer only * *.kml, rating.txt, thumb.jpeg - files, related to the online viewer only −==Stacked TIFF==+==TIFF stacks for ML== − +* What's in each stack is described in the [https://community.elphel.com/files/presentations/Elphel_TP-CNN_slides.pdf presentation for CVPR2018, pp.19-21]: +** 5 layers in the stack: ['''diagm-pair''', '''diago-pair''', '''hor-pairs''', '''vert-pairs''', '''other'''] +*** '''diagm-pair''' +*** '''diago-pair''' +*** '''hor-pairs''' +*** '''vert-pairs''' +*** '''other''' - encoded values: estimated disparity, residual disparity and confidence for the residual disparity * The source files are processed using a plugin for ImageJ, the output file for each set is a tiff stack * The source files are processed using a plugin for ImageJ, the output file for each set is a tiff stack * There are a few ways to view the stack: * There are a few ways to view the stack: −** just open with ImageJ+====ImageJ==== +ImageJ - it has a native support for stacks, each stack has a name label stored (along with related xml info) in the ImageJ tiff tags. To read tiff tags in ImageJ, go '''Image > Show Info...''' +====Python==== +Use '''imagej_tiff.py''' from [https://git.elphel.com/Elphel/python3-imagej-tiff python3-imagej-tiff] to: +* get tiff tags values (Pillow) +* parse Properties xml data stored in the tiff tags used by ImageJ +* get tile dimensions from Properties +* read layers as numpy arrays for further computations or plotting +Example: + '''~$ python3 imagej_tiff.py 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS0.00000.tiff''' + time: 1531344391.7055812 + time: 1531344392.5336654 + TIFF stack labels: ['diagm-pair', 'diago-pair', 'hor-pairs', 'vert-pairs', 'other'] + <?xml version="1.0" ?> + <properties> + <ML_OTHER_TARGET>0</ML_OTHER_TARGET> + <tileWidth>9</tileWidth> + <disparityRadiusMain>257.22231560274076</disparityRadiusMain> + <comment_ML_OTHER_GTRUTH_STRENGTH>Offset of the ground truth strength in the "other" layer tile</comment_ML_OTHER_GTRUTH_STRENGTH> + <data_min>-0.16894744988183344</data_min> + <comment_intercameraBaseline>Horizontal distance between the main and the auxiliary camera centers (mm). Disparity is specified for the main camera</comment_intercameraBaseline> + <ML_OTHER_GTRUTH>2</ML_OTHER_GTRUTH> + <data_max>0.6260986600450271</data_max> + <disparityRadiusAux>151.5308819757923</disparityRadiusAux> + <comment_disparityRadiusAux>Side of the square where 4 main camera subcameras are located (mm). Disparity is specified for the main camera</comment_disparityRadiusAux> + <comment_disparityRadiusMain>Side of the square where 4 main camera subcameras are located (mm)</comment_disparityRadiusMain> + <comment_dispOffset>Tile target disparity minum ground truth disparity</comment_dispOffset> + <comment_tileWidth>Square tile size for each 2d correlation, always odd</comment_tileWidth> + <comment_data_min>Defined only for 8bpp mode - value, corresponding to -127 (-128 is NaN)</comment_data_min> + <comment_data_max>Defined only for 8bpp mode - value, corresponding to +127 (-128 is NaN)</comment_data_max> + <comment_ML_OTHER_TARGET>Offset of the target disparity in the "other" layer tile</comment_ML_OTHER_TARGET> + <VERSION>1.0</VERSION> + <dispOffset>0.0</dispOffset> + <comment_ML_OTHER_GTRUTH>Offset of the ground truth disparity in the "other" layer tile</comment_ML_OTHER_GTRUTH> + <ML_OTHER_GTRUTH_STRENGTH>4</ML_OTHER_GTRUTH_STRENGTH> + <intercameraBaseline>1256.0</intercameraBaseline> + </properties> + Tiles shape: 9x9 + Data min: -0.16894744988183344 + Data max: 0.6260986600450271 + (2178, 2916, 5) + Stack of images shape: (242, 324, 9, 9, 4) + time: 1531344392.7290232 + Stack of values shape: (242, 324, 3) + time: 1531344393.5556033 + + + +Upon opening tiff the image shape will be '''(height,width,layer)''' - for further processing it needs to be reshaped to '''(height_in_tiles, width_in_tiles, tile_height, tile_width, layer)''', example: + tiff stack shape: (2178, 2916, 5) + image data: (242, 324, 9, 9, 4) + values data: (242, 324, 3) Oleg

Tiff file format for pre-processed quad-stereo sets

Wed, 07/11/2018 - 14:42

‎TIFF stacks for ML

← Older revision Revision as of 20:42, 11 July 2018 (12 intermediate revisions by the same user not shown)Line 3: Line 3: '''1527256903_350165/''' '''1527256903_350165/''' ├── 1527256903_350165.kml ├── 1527256903_350165.kml − ├── '''jp4'''+ ├── '''jp4''' (source files directory) │ ├── 1527256903_350165_0.jp4 │ ├── 1527256903_350165_0.jp4 │ ├── ... │ ├── ... Line 12: Line 12: ├── rating.txt ├── rating.txt ├── thumb.jpeg ├── thumb.jpeg − └── '''v03'''+ └── '''v03''' (model version) ├── 1527256903_350165-00-D0.0.jpeg ├── 1527256903_350165-00-D0.0.jpeg ├── ... ├── ... Line 26: Line 26: ├── 1527256903_350165.obj ├── 1527256903_350165.obj ├── 1527256903_350165.x3d ├── 1527256903_350165.x3d − └── '''ml'''+ └── '''ml''' (directory with processed data files for ML) ├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-2.00000.tiff ├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-2.00000.tiff ├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-1.00000.tiff ├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-1.00000.tiff Line 34: Line 34: where: where: * '''*.jp4''' - source files, 0..3 - quad stereo camera #1, 4..7 - quad stereo camera #2, and so on if there are more cameras in the system. * '''*.jp4''' - source files, 0..3 - quad stereo camera #1, 4..7 - quad stereo camera #2, and so on if there are more cameras in the system. −* '''*-D0.0.jpeg''' - disparity = 0, images are undistorted to a common polynom+* '''*-D0.0.jpeg''' - disparity = 0, images are undistorted to a distortion polynom common for each image * '''*.corr-xml''' - ImageJ plugin's settings file? * '''*.corr-xml''' - ImageJ plugin's settings file? * '''*-DSI_COMBO.tiff''' - Disparity Space Image - tiff stack * '''*-DSI_COMBO.tiff''' - Disparity Space Image - tiff stack Line 40: Line 40: * '''*.x3d, *.png''' - X3D format model with textures. The textures are shared with the OBJ format model * '''*.x3d, *.png''' - X3D format model with textures. The textures are shared with the OBJ format model * '''*.obj, *.mtl, *.png''' - OBJ format model with textures * '''*.obj, *.mtl, *.png''' - OBJ format model with textures −* '''ml/*.tiff''' - TIFF stack of pre-processed images for ML+* '''*.tiff''' - TIFF stack of pre-processed images for ML * *.kml, rating.txt, thumb.jpeg - files, related to the online viewer only * *.kml, rating.txt, thumb.jpeg - files, related to the online viewer only −==Stacked TIFF==+==TIFF stacks for ML== − +* What's in each stack is described in the [https://community.elphel.com/files/presentations/Elphel_TP-CNN_slides.pdf presentation for CVPR2018, pp.19-21]: +** 5 layers in the stack: ['''diagm-pair''', '''diago-pair''', '''hor-pairs''', '''vert-pairs''', '''other'''] +*** '''diagm-pair''' +*** '''diago-pair''' +*** '''hor-pairs''' +*** '''vert-pairs''' +*** '''other''' - encoded values: image disparity, estimated disparity and confidence for the estimated disparity * The source files are processed using a plugin for ImageJ, the output file for each set is a tiff stack * The source files are processed using a plugin for ImageJ, the output file for each set is a tiff stack * There are a few ways to view the stack: * There are a few ways to view the stack: −** just open with ImageJ+** Open with ImageJ - it has a native support for stacks, each stack has a name label stored (along with related xml info) in the ImageJ tiff tags. To read tiff tags in ImageJ, go '''Image > Show Info...''' +** Use '''imagej_tiff.py''' from [https://git.elphel.com/Elphel/python3-imagej-tiff python3-imagej-tiff] +*** Upon opening tiff the image shape will be '''(height,width,layer)''' - for further processing it needs to be reshaped to '''(height_in_tiles, width_in_tiles, tile_height, tile_width, layer)''': + tiff stack shape: (2178, 2916, 5) + image data: (242, 324, 9, 9, 4) + values data: (242, 324, 3) Oleg

Tiff file format for pre-processed quad-stereo sets

Wed, 07/11/2018 - 13:39

← Older revision Revision as of 19:39, 11 July 2018 (4 intermediate revisions by the same user not shown)Line 3: Line 3: '''1527256903_350165/''' '''1527256903_350165/''' ├── 1527256903_350165.kml ├── 1527256903_350165.kml − ├── '''jp4'''+ ├── '''jp4''' (source files directory) │ ├── 1527256903_350165_0.jp4 │ ├── 1527256903_350165_0.jp4 │ ├── ... │ ├── ... Line 12: Line 12: ├── rating.txt ├── rating.txt ├── thumb.jpeg ├── thumb.jpeg − └── '''v03'''+ └── '''v03''' (model version) ├── 1527256903_350165-00-D0.0.jpeg ├── 1527256903_350165-00-D0.0.jpeg ├── ... ├── ... Line 26: Line 26: ├── 1527256903_350165.obj ├── 1527256903_350165.obj ├── 1527256903_350165.x3d ├── 1527256903_350165.x3d − └── '''ml'''+ └── '''ml''' (directory with processed data files for ML) ├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-2.00000.tiff ├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-2.00000.tiff ├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-1.00000.tiff ├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-1.00000.tiff Line 34: Line 34: where: where: * '''*.jp4''' - source files, 0..3 - quad stereo camera #1, 4..7 - quad stereo camera #2, and so on if there are more cameras in the system. * '''*.jp4''' - source files, 0..3 - quad stereo camera #1, 4..7 - quad stereo camera #2, and so on if there are more cameras in the system. −* '''*-D0.0.jpeg''' - disparity = 0, images are undistorted to a common polynom+* '''*-D0.0.jpeg''' - disparity = 0, images are undistorted to a distortion polynom common for each image * '''*.corr-xml''' - ImageJ plugin's settings file? * '''*.corr-xml''' - ImageJ plugin's settings file? * '''*-DSI_COMBO.tiff''' - Disparity Space Image - tiff stack * '''*-DSI_COMBO.tiff''' - Disparity Space Image - tiff stack Line 40: Line 40: * '''*.x3d, *.png''' - X3D format model with textures. The textures are shared with the OBJ format model * '''*.x3d, *.png''' - X3D format model with textures. The textures are shared with the OBJ format model * '''*.obj, *.mtl, *.png''' - OBJ format model with textures * '''*.obj, *.mtl, *.png''' - OBJ format model with textures −* '''ml/*.tiff''' - TIFF stack of pre-processed images for ML+* '''*.tiff''' - TIFF stack of pre-processed images for ML * *.kml, rating.txt, thumb.jpeg - files, related to the online viewer only * *.kml, rating.txt, thumb.jpeg - files, related to the online viewer only −==Stacked TIFF==+==TIFF stacks for ML== * The source files are processed using a plugin for ImageJ, the output file for each set is a tiff stack * The source files are processed using a plugin for ImageJ, the output file for each set is a tiff stack * There are a few ways to view the stack: * There are a few ways to view the stack: ** just open with ImageJ ** just open with ImageJ Oleg

Tiff file format for pre-processed quad-stereo sets

Wed, 07/11/2018 - 13:08

Created page with "==Image sets== Example tree of a single set: '''1527256903_350165/''' ├── 1527256903_350165.kml ├── '''jp4''' │ ├── <font color='Royal..."

New page

==Image sets==
Example tree of a single set:
'''1527256903_350165/'''
├── 1527256903_350165.kml
├── '''jp4'''
│ ├── 1527256903_350165_0.jp4
│ ├── ...
│ ├── 1527256903_350165_3.jp4
│ ├── 1527256903_350165_4.jp4
│ ├── ...
│ └── 1527256903_350165_7.jp4
├── rating.txt
├── thumb.jpeg
└── '''v03'''
├── 1527256903_350165-00-D0.0.jpeg
├── ...
├── 1527256903_350165-07-D0.0.jpeg
├── 1527256903_350165.corr-xml
├── 1527256903_350165-DSI_COMBO.tiff
├── 1527256903_350165-EXTRINSICS.corr-xml
├── 1527256903_350165-img1-texture.png
├── ...
├── 1527256903_350165-img2001-texture.png
├── 1527256903_350165-img_infinity-texture.png
├── 1527256903_350165.mtl
├── 1527256903_350165.obj
├── 1527256903_350165.x3d
└── '''ml'''
├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-2.00000.tiff
├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS-1.00000.tiff
├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS0.00000.tiff
├── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS1.00000.tiff
└── 1527256903_350165-ML_DATA-08B-O-FZ0.05-OFFS2.00000.tiff
where:
* '''*.jp4''' - source files, 0..3 - quad stereo camera #1, 4..7 - quad stereo camera #2, and so on if there are more cameras in the system.
* '''*-D0.0.jpeg''' - disparity = 0, images are undistorted to a common polynom
* '''*.corr-xml''' - ImageJ plugin's settings file?
* '''*-DSI_COMBO.tiff''' - Disparity Space Image - tiff stack
* '''*-EXTRINSICS.corr-xml''' - extrinsic parameters of the multicamera system
* '''*.x3d, *.png''' - X3D format model with textures. The textures are shared with the OBJ format model
* '''*.obj, *.mtl, *.png''' - OBJ format model with textures
* '''ml/*.tiff''' - TIFF stack of pre-processed images for ML

* *.kml, rating.txt, thumb.jpeg - files, related to the online viewer only

==Stacked TIFF==

* The source files are processed using a plugin for ImageJ, the output file for each set is a tiff stack
* There are a few ways to view the stack:
** just open with ImageJ Oleg

Tensorflow with gpu

Fri, 07/06/2018 - 11:07

‎Setup (some details)

← Older revision Revision as of 17:07, 6 July 2018 Line 49: Line 49: # Export paths # Export paths ~$ export PATH=/usr/local/cuda-9.2/bin${PATH:+:${PATH}} ~$ export PATH=/usr/local/cuda-9.2/bin${PATH:+:${PATH}} − ~$ export LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}+ ~$ export LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} + ~$ export LD_LIBRARY_PATH=/usr/local/cuda-9.2/extras/CUPTI/lib64/${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} * Install TensorFlow (build from sources for cuda 9.2): * Install TensorFlow (build from sources for cuda 9.2): Oleg

Poky manual

Tue, 06/26/2018 - 12:25

‎Setup

← Older revision Revision as of 18:25, 26 June 2018 Line 85: Line 85: bitbake u-boot device-tree linux-xlnx core-image-elphel393 bitbake u-boot device-tree linux-xlnx core-image-elphel393 −* Poky 2.2 Jethro+* Poky 2.0 Jethro − git clone https://git.elphel.com/Elphel/elphel393.git # or git clone git@git.elphel.com:Elphel/elphel393.git # if ssh public key is uploaded+ git clone -b jethro https://git.elphel.com/Elphel/elphel393.git # or git clone git@git.elphel.com:Elphel/elphel393.git # if ssh public key is uploaded # then follow the same steps as for Rocko # then follow the same steps as for Rocko Oleg

FPGA bitstream versions

Tue, 06/26/2018 - 11:19

‎Draft notes

← Older revision Revision as of 17:19, 26 June 2018 (3 intermediate revisions by the same user not shown)Line 2: Line 2: === Modifications to the SATA code === === Modifications to the SATA code === SATA controller subsystem source code is maintained in a [https://git.elphel.com/Elphel/x393_sata x393_sata] repository. SATA controller subsystem source code is maintained in a [https://git.elphel.com/Elphel/x393_sata x393_sata] repository. + 1. Edit py393sata/create_ahci_registers.py and modify [https://git.elphel.com/Elphel/x393_sata/blob/master/py393sata/create_ahci_registers.py#L35 RID value] 1. Edit py393sata/create_ahci_registers.py and modify [https://git.elphel.com/Elphel/x393_sata/blob/master/py393sata/create_ahci_registers.py#L35 RID value] Line 24: Line 25: # Verify bitsteram with the hardware # Verify bitsteram with the hardware # Commit to git repository # Commit to git repository + + +==Draft notes== +====Bitstream type?==== +* In fpga-elphel/x393 x393_global.tcl: +** checks if HISPI is enabled and make some kind of changes + +* status_read.v +** writes fpga bitstream type Oleg

Driverless mode 393

Mon, 06/25/2018 - 18:18

‎pre

← Older revision Revision as of 00:18, 26 June 2018 Line 4: Line 4: ==Instructions== ==Instructions== −===pre===+===pre (editing files on the boot SD card)=== −* to load bitstream for MT9F002 appropriate changes need to be made to:+* Remove 10389 board if installed (otherwise will have to rewrite eeprom) +* To load bitstream for MT9F002 appropriate changes need to be made to: ** device tree ** device tree set sensors to '''mt9f002''' in ''elphel393-detect_sensors,sensors'' entry set sensors to '''mt9f002''' in ''elphel393-detect_sensors,sensors'' entry ** /etc/elphel393/default_10389.xml for setup w/o 10389 or 10389's eeprom otherwise write '''MT9F002''' as application ** /etc/elphel393/default_10389.xml for setup w/o 10389 or 10389's eeprom otherwise write '''MT9F002''' as application + Application name must be already added to '''/usr/local/autocampars.php''' * Disable driver * Disable driver root@elphel393~# touch /etc/elphel393/disable_driver root@elphel393~# touch /etc/elphel393/disable_driver Oleg

CVPR2018

Wed, 06/20/2018 - 00:08

← Older revision Revision as of 06:08, 20 June 2018 Line 1: Line 1: +This page contains links relevant to Elphel presentation at CVPR 2018 Expo. + ==Presentation== ==Presentation== * [https://community.elphel.com/files/presentations/Elphel_TP-CNN_slides.pdf High Resolution Wide FoV CNN System for Target Classification, Ranging and Tracking (pdf)] * [https://community.elphel.com/files/presentations/Elphel_TP-CNN_slides.pdf High Resolution Wide FoV CNN System for Target Classification, Ranging and Tracking (pdf)] Olga

CVPR2018

Tue, 06/19/2018 - 08:40

← Older revision Revision as of 14:40, 19 June 2018 Line 4: Line 4: ==3D models demo and image sets== ==3D models demo and image sets== * [https://community.elphel.com/3d+biquad/?lat=40.74257500&lng=-112.06741333&zoom=10&rating=5 3D BiQuad] * [https://community.elphel.com/3d+biquad/?lat=40.74257500&lng=-112.06741333&zoom=10&rating=5 3D BiQuad] + +==Research and Development Focus== +=== Passive 3D Reconstruction and Long Ranging=== +* [https://blog.elphel.com/category/3d/ 3D Reconstruction and Ranging] +=== FPGA-RTL-ASIC: Efficient Implementation of Frequency Domain Processing === +* [https://blog.elphel.com/category/rtl/ RTL] +=== Calibration for Aberration Correction === +* [https://blog.elphel.com/category/calibration/ Calibration] + + ==Development blog== ==Development blog== Andrey.filippov

CVPR2018

Mon, 06/18/2018 - 23:09

‎Products

← Older revision Revision as of 05:09, 19 June 2018 (7 intermediate revisions by the same user not shown)Line 1: Line 1: −==Links==+==Presentation== −[https://blog.elphel.com/2018/05/capturing-aircraft-position-with-the-long-range-quad-stereo-camera/ Capturing Aircraft Position with the Long Range Quad Stereo Camera]+* [https://community.elphel.com/files/presentations/Elphel_TP-CNN_slides.pdf High Resolution Wide FoV CNN System for Target Classification, Ranging and Tracking (pdf)] + +==3D models demo and image sets== +* [https://community.elphel.com/3d+biquad/?lat=40.74257500&lng=-112.06741333&zoom=10&rating=5 3D BiQuad] + +==Development blog== +* [https://blog.elphel.com/2018/05/capturing-aircraft-position-with-the-long-range-quad-stereo-camera/ '''2018/05/06''' Capturing Aircraft Position with the Long Range Quad Stereo Camera] +* [https://blog.elphel.com/2018/03/dual-quad-camera-rig-for-capturing-image-sets/ '''2018/03/20''' Dual Quad-Camera Rig for Capturing Image Sets] +* [https://blog.elphel.com/2018/02/high-resolution-multi-vew-stereo-tile-processor-and-convolutional-neural-network/ '''2018/02/05''' High Resolution Multi-View Stereo: Tile Processor and Convolutional Neural Network] +* [https://blog.elphel.com/2018/01/complex-lapped-transform-bayer/ '''2018/01/08''' Efficient Complex Lapped Transform Implementation for the Space-Variant Frequency Domain Calculations of the Bayer Mosaic Color Images] + +==Products== +* [https://www3.elphel.com/products Our multiple and single camera systems products] Oleg

CVPR2018

Mon, 06/18/2018 - 23:09

‎Products

← Older revision Revision as of 05:09, 19 June 2018 (8 intermediate revisions by the same user not shown)Line 1: Line 1: −==Links==+==Presentation== +* [https://community.elphel.com/files/presentations/Elphel_TP-CNN_slides.pdf High Resolution Wide FoV CNN System for Target Classification, Ranging and Tracking (pdf)] + +==3D models demo and image sets== +* [https://community.elphel.com/3d+biquad/?lat=40.74257500&lng=-112.06741333&zoom=10&rating=5 3D BiQuad] + +==Development blog== +* [https://blog.elphel.com/2018/05/capturing-aircraft-position-with-the-long-range-quad-stereo-camera/ '''2018/05/06''' Capturing Aircraft Position with the Long Range Quad Stereo Camera] +* [https://blog.elphel.com/2018/03/dual-quad-camera-rig-for-capturing-image-sets/ '''2018/03/20''' Dual Quad-Camera Rig for Capturing Image Sets] +* [https://blog.elphel.com/2018/02/high-resolution-multi-vew-stereo-tile-processor-and-convolutional-neural-network/ '''2018/02/05''' High Resolution Multi-View Stereo: Tile Processor and Convolutional Neural Network] +* [https://blog.elphel.com/2018/01/complex-lapped-transform-bayer/ '''2018/01/08''' Efficient Complex Lapped Transform Implementation for the Space-Variant Frequency Domain Calculations of the Bayer Mosaic Color Images] + +==Products== +* [https://www3.elphel.com/products Our multiple and single camera systems products] Oleg

CVPR2018

Mon, 06/18/2018 - 22:52

← Older revision Revision as of 04:52, 19 June 2018 (4 intermediate revisions by the same user not shown)Line 1: Line 1: −==Links==+==Presentation== +* [https://community.elphel.com/files/presentations/Elphel_TP-CNN_slides.pdf High Resolution Wide FoV CNN System for Target Classification, Ranging and Tracking (pdf)] + +==3D models demo and image sets== +* [https://community.elphel.com/3d+biquad/?lat=40.74257500&lng=-112.06741333&zoom=10&rating=5 3D BiQuad] + +==Development articles== +* [https://blog.elphel.com/2018/02/high-resolution-multi-vew-stereo-tile-processor-and-convolutional-neural-network/ High Resolution Multi-View Stereo: Tile Processor and Convolutional Neural Network] +* [https://blog.elphel.com/2018/03/dual-quad-camera-rig-for-capturing-image-sets/ Dual Quad-Camera Rig for Capturing Image Sets] +* [https://blog.elphel.com/2018/05/capturing-aircraft-position-with-the-long-range-quad-stereo-camera/ Capturing Aircraft Position with the Long Range Quad Stereo Camera] + +==Products== +* [https://www3.elphel.com/products Our products] Oleg

CVPR2018

Sun, 06/17/2018 - 16:03

‎Links

← Older revision Revision as of 22:03, 17 June 2018 Line 1: Line 1: ==Links== ==Links== +[https://blog.elphel.com/2018/05/capturing-aircraft-position-with-the-long-range-quad-stereo-camera/ Capturing Aircraft Position with the Long Range Quad Stereo Camera] Oleg

CVPR2018

Fri, 06/15/2018 - 16:24

Created page with "==Links=="

New page

==Links== Oleg

Tensorflow with gpu

Thu, 06/14/2018 - 10:28

‎Testing setup

← Older revision Revision as of 16:28, 14 June 2018 (2 intermediate revisions by the same user not shown)Line 1: Line 1: ==Requirements== ==Requirements== * Kubuntu 16.04.4 LTS * Kubuntu 16.04.4 LTS −==Setup==+==Setup (guide)== +* Just follow [http://www.python36.com/install-tensorflow141-gpu/ '''this guide'''] +==Setup (some details)== * Check device * Check device ~$ lspci | grep NVIDIA ~$ lspci | grep NVIDIA Line 87: Line 89: * Unsupported card '''GeForce GT 610''' * Unsupported card '''GeForce GT 610''' − ~$ python3+ '''~$ python3''' Python 3.5.2 (default, Nov 23 2017, 16:37:01) Python 3.5.2 (default, Nov 23 2017, 16:37:01) [GCC 5.4.0 20160609] on linux [GCC 5.4.0 20160609] on linux Type "help", "copyright", "credits" or "license" for more information. Type "help", "copyright", "credits" or "license" for more information. − >>> import tensorflow as tf+ '''>>> import tensorflow as tf''' − >>> hello = tf.constant('Hello, World!') + '''>>> hello = tf.constant('Hello, World!')''' − >>> sess = tf.Session() + '''>>> sess = tf.Session()''' 2018-04-26 13:00:19.050625: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2018-04-26 13:00:19.050625: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2018-04-26 13:00:19.181581: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1344] Found device 0 with properties: 2018-04-26 13:00:19.181581: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1344] Found device 0 with properties: Line 103: Line 105: 2018-04-26 13:00:19.181683: I tensorflow/core/common_runtime/gpu/gpu_device.cc:917] 0 2018-04-26 13:00:19.181683: I tensorflow/core/common_runtime/gpu/gpu_device.cc:917] 0 2018-04-26 13:00:19.181695: I tensorflow/core/common_runtime/gpu/gpu_device.cc:930] 0: N 2018-04-26 13:00:19.181695: I tensorflow/core/common_runtime/gpu/gpu_device.cc:930] 0: N − >>> print(sess.run(hello)) + '''>>> print(sess.run(hello))''' b'Hello, World!' b'Hello, World!' Oleg

Tensorflow with gpu

Thu, 06/14/2018 - 10:28

‎Testing setup

Show changes Oleg

Tensorflow with gpu

Wed, 06/13/2018 - 17:58

Show changes Oleg

Tensorflow with gpu

Wed, 06/13/2018 - 17:02

Show changes Oleg

Tensorflow with gpu

Wed, 06/13/2018 - 16:25

← Older revision Revision as of 22:25, 13 June 2018 (13 intermediate revisions by the same user not shown)Line 1: Line 1: −==Pre==+==Requirements== −* check device+* Kubuntu 16.04.4 LTS − ~$ lspci | grep NVIDIA+==Setup== +* Check device + ~$ lspci | grep NVIDIA 81:00.0 VGA compatible controller: NVIDIA Corporation GF119 [GeForce GT 610] (rev a1) 81:00.0 VGA compatible controller: NVIDIA Corporation GF119 [GeForce GT 610] (rev a1) − 81:00.1 Audio device: NVIDIA Corporation GF119 HDMI Audio Controller (rev a1)+ 81:00.1 Audio device: NVIDIA Corporation GF119 HDMI Audio Controller (rev a1) −* check driver version+ − ~$ cat /proc/driver/nvidia/version+* Check driver version: + ~$ cat /proc/driver/nvidia/version NVRM version: NVIDIA UNIX x86_64 Kernel Module 387.26 Thu Nov 2 21:20:16 PDT 2017 NVRM version: NVIDIA UNIX x86_64 Kernel Module 387.26 Thu Nov 2 21:20:16 PDT 2017 − GCC version: gcc version 5.4.0 20160609 (Ubuntu 5.4.0-6ubuntu1~16.04.9)+ GCC version: gcc version 5.4.0 20160609 (Ubuntu 5.4.0-6ubuntu1~16.04.9) −* install cuda 9.0 with patches − https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=deblocal −* then − 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+* Install cuda 9.2 with patch(es): −*+ https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1604&target_type=deblocal: − ~$ export PATH=/usr/local/cuda-9.2/bin${PATH:+:${PATH}}+ ~$ sudo dpkg -i cuda-repo-ubuntu1604-9-2-local_9.2.88-1_amd64.deb − ~$ export LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}+ ~$ sudo apt-key add /var/cuda-repo-9-2-local/7fa2af80.pub −*+ ~$ sudo apt-get update − ~$ nvidia-smi + ~$ sudo apt-get install cuda − Thu Apr 26 12:39:25 2018 + # INSTALL THE PATCH(ES) + +* Might need to reboot PC. If cuda 9.2 got installed over other version, nvidia tools will be throwing errors about driver versions mismatching, try + ~$ nvidia-smi +Good looking output: + Wed Jun 13 15:55:44 2018 +-----------------------------------------------------------------------------+ +-----------------------------------------------------------------------------+ − | NVIDIA-SMI 387.26 Driver Version: 387.26 |+ | NVIDIA-SMI 396.26 Driver Version: 396.26 | |-------------------------------+----------------------+----------------------+ |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| |===============================+======================+======================| − | 0 GeForce GT 610 Off | 00000000:81:00.0 N/A | N/A |+ | 0 GeForce GTX 750 Ti Off | 00000000:01:00.0 On | N/A | − | N/A 31C P8 N/A / N/A | 148MiB / 956MiB | N/A Default |+ | 33% 36C P8 1W / 46W | 229MiB / 2000MiB | 0% Default | +-------------------------------+----------------------+----------------------+ +-------------------------------+----------------------+----------------------+ Line 34: Line 38: | GPU PID Type Process name Usage | | GPU PID Type Process name Usage | |=============================================================================| |=============================================================================| − | 0 Not Supported |+ | 0 1305 G /usr/lib/xorg/Xorg 136MiB | − +-----------------------------------------------------------------------------++ | 0 3587 G /usr/bin/krunner 1MiB | + | 0 3590 G /usr/bin/plasmashell 67MiB | + | 0 3693 G /usr/bin/plasma-discover 20MiB | + +-----------------------------------------------------------------------------+ + +* Check out post installation docs: + https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html#post-installation-actions: + # Export paths + ~$ export PATH=/usr/local/cuda-9.2/bin${PATH:+:${PATH}} + ~$ export LD_LIBRARY_PATH=/usr/local/cuda-9.2/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}} −* install tensorflow+* Install TensorFlow: + # docs: + # - https://www.tensorflow.org/install/install_linux + # some instructions: ~$ sudo apt-get install python3-pip # if it is not already installed ~$ 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 Oleg

Secondary menu

Elphel Development Blog

Elphel GIT logs

Elphel CVS logs

Who's online

Tiff file format for pre-processed quad-stereo sets

Tiff file format for pre-processed quad-stereo sets

Tiff file format for pre-processed quad-stereo sets

Tiff file format for pre-processed quad-stereo sets

Tensorflow with gpu

Poky manual

FPGA bitstream versions

Driverless mode 393

CVPR2018

CVPR2018

CVPR2018

CVPR2018

CVPR2018

CVPR2018

CVPR2018

Tensorflow with gpu

Tensorflow with gpu

Tensorflow with gpu

Tensorflow with gpu

Tensorflow with gpu

Pages