‎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/ <font size='2'>'''2018/05/06'''</font> Capturing Aircraft Position with the Long Range Quad Stereo Camera]  +* [https://blog.elphel.com/2018/03/dual-quad-camera-rig-for-capturing-image-sets/ <font size='2'>'''2018/03/20'''</font> 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/ <font size='2'>'''2018/02/05'''</font> High Resolution Multi-View Stereo: Tile Processor and Convolutional Neural Network]  +* [https://blog.elphel.com/2018/01/complex-lapped-transform-bayer/ <font size='2'>'''2018/01/08'''</font> 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

← 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

‎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

AndreyFilippov committed changes to the Elphel git project :
fixing KML (was from teh first file in series)

AndreyFilippov committed changes to the Elphel git project :
minor cleanup

Created page with "==Links=="

New page

==Links== Oleg

AndreyFilippov committed changes to the Elphel git project :
Improved rig infinity calibration, minor bug fixes

Oleg Dzhimiev committed changes to the Elphel git project :
select kml file in master_kml.xml

AndreyFilippov committed changes to the Elphel git project :
Debugging batch processing

AndreyFilippov committed changes to the Elphel git project :
Putting all together, adding generation of thumbnails, KML, etc.

Oleg Dzhimiev committed changes to the Elphel git project :
link to ml folder

Oleg Dzhimiev committed changes to the Elphel git project :
filtered out jp4 dir

Oleg Dzhimiev committed changes to the Elphel git project :
1. made a button to play model's src files

Oleg Dzhimiev committed changes to the Elphel git project :
rewritten to php

Oleg Dzhimiev committed changes to the Elphel git project :
1. full screen 2. play N images

Oleg Dzhimiev committed changes to the Elphel git project :
1. save kml records based on timestamp rather than unique icon name

‎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    <font size='2'><b>~$ lspci | grep NVIDIA</b>   <font size='2'><b>~$ lspci | grep NVIDIA</b> 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

‎Testing setup

Show changes Oleg

Oleg Dzhimiev committed changes to the Elphel git project :
preparing to feed nn

Show changes Oleg