https://public.kitware.com/Wiki/api.php?action=feedcontributions&user=Caseygoodlett&feedformat=atomKitwarePublic - User contributions [en]2024-03-29T13:49:44ZUser contributionsMediaWiki 1.38.6https://public.kitware.com/Wiki/index.php?title=VeloView&diff=58341VeloView2015-10-16T21:05:29Z<p>Caseygoodlett: </p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E, HDL-64E, VLP-16). An introduction to features of VeloView is available as a video:<br />
<br />
{|<br />
| {{#ev:vimeo|91453207}}<br />
| {{#ev:vimeo|73765745}}<br />
|}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (16, 32, or 64) 360&deg; and a vertical field of view of 40&deg;/26&deg; with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== Features ==<br />
<br />
* Input from live sensor stream or recorded .pcap file<br />
* Visualization of LiDAR returns in 3D + time including 3d position and attribute data such as timestamp, azimuth, laser id, etc<br />
* Spreadsheet inspector for LiDAR attributes<br />
* Record to .pcap from sensor<br />
* Export to CSV or VTK formats<br />
* Record and export GPS and IMU data ('''New in 2.0''')<br />
* Ruler tool ('''New in 2.0''')<br />
* Visualize path of GPS data ('''New in 2.0''')<br />
* Show multiple frames of data simultaneously ('''New in 2.0''')<br />
* Show or hide a subset of lasers ('''New in 2.0''')<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.3&type=app&os=win64&downloadFile=VeloView-3.1.1-26022015-Windows-64bit.exe Version 3.1.1 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.3&type=app&os=win32&downloadFile=VeloView-3.1.1-26022015-Windows-32bit.exe Version 3.1.1- Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.3&type=app&os=osx&downloadFile=VeloView-3.1.1-26022015-Darwin-64bit.dmg Version 3.1.1 - Mac OSX 10.8]<br />
<br />
Previous releases are also available<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win64&downloadFile=VeloView-2.0.0-31032014-Windows-64bit.exe Version 2.0 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win32&downloadFile=VeloView-2.0.0-31032014-Windows-32bit.exe Version 2.0 - Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=osx&downloadFile=VeloView-2.0.0-31032014-Darwin-64bit.dmg Version 2.0 - Mac OSX 10.8]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Version 1.0.8 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Version 1.0.8 - Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Version 1.0.8 - Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. To obtain the latest version clone the git repository as shown below:<br />
$ git clone https://github.com/Kitware/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
* HDL-32E and VLP-16<br />
**IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
**Gateway: 255.255.255.0<br />
* HDL-64E<br />
**IP address: 192.168.3.70 (70 as example, any number except 43 works)<br />
**Gateway: 192.168.3.255<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E or VLP-16 data no calibration file is needed (the calibration values are already incorporated in VeloView) therefore select HDL-32 or VLP-16.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor.<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [https://github.com/Kitware/VeloView/blob/master/Documentation/VeloView_Developer_Guide.pdf developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=57910VeloView2015-06-10T18:08:35Z<p>Caseygoodlett: </p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E, HDL-64E, VLP-16). An introduction to features of VeloView is available as a video:<br />
<br />
{|<br />
| {{#ev:vimeo|91453207}}<br />
| {{#ev:vimeo|73765745}}<br />
|}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (16, 32, or 64) 360&deg; and a vertical field of view of 40&deg;/26&deg; with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== Features ==<br />
<br />
* Input from live sensor stream or recorded .pcap file<br />
* Visualization of LiDAR returns in 3D + time including 3d position and attribute data such as timestamp, azimuth, laser id, etc<br />
* Spreadsheet inspector for LiDAR attributes<br />
* Record to .pcap from sensor<br />
* Export to CSV or VTK formats<br />
* Record and export GPS and IMU data ('''New in 2.0''')<br />
* Ruler tool ('''New in 2.0''')<br />
* Visualize path of GPS data ('''New in 2.0''')<br />
* Show multiple frames of data simultaneously ('''New in 2.0''')<br />
* Show or hide a subset of lasers ('''New in 2.0''')<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.3&type=app&os=win64&downloadFile=VeloView-3.1.1-26022015-Windows-64bit.exe Version 3.1.1 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.3&type=app&os=win32&downloadFile=VeloView-3.1.1-26022015-Windows-32bit.exe Version 3.1.1- Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.3&type=app&os=osx&downloadFile=VeloView-3.1.1-26022015-Darwin-64bit.dmg Version 3.1.1 - Mac OSX 10.8]<br />
<br />
Previous releases are also available<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win64&downloadFile=VeloView-2.0.0-31032014-Windows-64bit.exe Version 2.0 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win32&downloadFile=VeloView-2.0.0-31032014-Windows-32bit.exe Version 2.0 - Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=osx&downloadFile=VeloView-2.0.0-31032014-Darwin-64bit.dmg Version 2.0 - Mac OSX 10.8]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Version 1.0.8 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Version 1.0.8 - Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Version 1.0.8 - Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=3e88f28e39dcdacb6a570b690eaf313484c0207b;sf=tgz version 2.0.0]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
* HDL-32E and VLP-16<br />
**IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
**Gateway: 255.255.255.0<br />
* HDL-64E<br />
**IP address: 192.168.3.70 (70 as example, any number except 43 works)<br />
**Gateway: 192.168.3.255<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E or VLP-16 data no calibration file is needed (the calibration values are already incorporated in VeloView) therefore select HDL-32 or VLP-16.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor.<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=57909VeloView2015-06-10T18:07:23Z<p>Caseygoodlett: </p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E, HDL-64E, VLP-16). An introduction to features of VeloView is available as a video:<br />
<br />
{|<br />
| {{#ev:vimeo|91453207}}<br />
| {{#ev:vimeo|73765745}}<br />
|}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (16, 32, or 64) 360&deg; and a vertical field of view of 40&deg;/26&deg; with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== Features ==<br />
<br />
* Input from live sensor stream or recorded .pcap file<br />
* Visualization of LiDAR returns in 3D + time including 3d position and attribute data such as timestamp, azimuth, laser id, etc<br />
* Spreadsheet inspector for LiDAR attributes<br />
* Record to .pcap from sensor<br />
* Export to CSV or VTK formats<br />
* Record and export GPS and IMU data ('''New in 2.0''')<br />
* Ruler tool ('''New in 2.0''')<br />
* Visualize path of GPS data ('''New in 2.0''')<br />
* Show multiple frames of data simultaneously ('''New in 2.0''')<br />
* Show or hide a subset of lasers ('''New in 2.0''')<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.3&type=app&os=win64&downloadFile=VeloView-3.1.1-26022015-Windows-64bit.exe Version 3.1.1 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.3&type=app&os=win32&downloadFile=VeloView-3.1.1-26022015-Windows-32bit.exe Version 3.1.1- Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.3&type=app&os=osx&downloadFile=VeloView-3.1.1-26022015-Darwin-64bit.dmg Version 3.1.1 - Mac OSX 10.8]<br />
<br />
Previous releases are also available<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win64&downloadFile=VeloView-2.0.0-31032014-Windows-64bit.exe Version 2.0 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win32&downloadFile=VeloView-2.0.0-31032014-Windows-32bit.exe Version 2.0 - Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=osx&downloadFile=VeloView-2.0.0-31032014-Darwin-64bit.dmg Version 2.0 - Mac OSX 10.8]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Version 1.0.8 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Version 1.0.8 - Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Version 1.0.8 - Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=3e88f28e39dcdacb6a570b690eaf313484c0207b;sf=tgz version 2.0.0]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
* HDL-32E<br />
**IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
**Gateway: 255.255.255.0<br />
* HDL-64E<br />
**IP address: 192.168.3.70 (70 as example, any number except 43 works)<br />
**Gateway: 192.168.3.255<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E data no calibration file is needed (the HDL-32E calibration values are already incorporated in VeloView) therefore select “NONE”.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor.<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=57599VeloView2015-02-27T13:13:10Z<p>Caseygoodlett: /* How to Obtain */</p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:<br />
<br />
{|<br />
| {{#ev:vimeo|91453207}}<br />
| {{#ev:vimeo|73765745}}<br />
|}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360&deg; and a vertical field of view of 40&deg;/26&deg; with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== Features ==<br />
<br />
* Input from live sensor stream or recorded .pcap file<br />
* Visualization of LiDAR returns in 3D + time including 3d position and attribute data such as timestamp, azimuth, laser id, etc<br />
* Spreadsheet inspector for LiDAR attributes<br />
* Record to .pcap from sensor<br />
* Export to CSV or VTK formats<br />
* Record and export GPS and IMU data ('''New in 2.0''')<br />
* Ruler tool ('''New in 2.0''')<br />
* Visualize path of GPS data ('''New in 2.0''')<br />
* Show multiple frames of data simultaneously ('''New in 2.0''')<br />
* Show or hide a subset of lasers ('''New in 2.0''')<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.3&type=app&os=win64&downloadFile=VeloView-3.1.1-26022015-Windows-64bit.exe Version 3.1.1 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.3&type=app&os=win32&downloadFile=VeloView-3.1.1-26022015-Windows-32bit.exe Version 3.1.1- Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.3&type=app&os=osx&downloadFile=VeloView-3.1.1-26022015-Darwin-64bit.dmg Version 3.1.1 - Mac OSX 10.8]<br />
<br />
Previous releases are also available<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win64&downloadFile=VeloView-2.0.0-31032014-Windows-64bit.exe Version 2.0 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win32&downloadFile=VeloView-2.0.0-31032014-Windows-32bit.exe Version 2.0 - Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=osx&downloadFile=VeloView-2.0.0-31032014-Darwin-64bit.dmg Version 2.0 - Mac OSX 10.8]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Version 1.0.8 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Version 1.0.8 - Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Version 1.0.8 - Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=3e88f28e39dcdacb6a570b690eaf313484c0207b;sf=tgz version 2.0.0]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
* HDL-32E<br />
**IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
**Gateway: 255.255.255.0<br />
* HDL-64E<br />
**IP address: 192.168.3.70 (70 as example, any number except 43 works)<br />
**Gateway: 192.168.3.255<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E data no calibration file is needed (the HDL-32E calibration values are already incorporated in VeloView) therefore select “NONE”.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor.<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=56931VeloView2014-10-15T19:47:04Z<p>Caseygoodlett: </p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:<br />
<br />
{|<br />
| {{#ev:vimeo|91453207}}<br />
| {{#ev:vimeo|73765745}}<br />
|}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360&deg; and a vertical field of view of 40&deg;/26&deg; with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== Features ==<br />
<br />
* Input from live sensor stream or recorded .pcap file<br />
* Visualization of LiDAR returns in 3D + time including 3d position and attribute data such as timestamp, azimuth, laser id, etc<br />
* Spreadsheet inspector for LiDAR attributes<br />
* Record to .pcap from sensor<br />
* Export to CSV or VTK formats<br />
* Record and export GPS and IMU data ('''New in 2.0''')<br />
* Ruler tool ('''New in 2.0''')<br />
* Visualize path of GPS data ('''New in 2.0''')<br />
* Show multiple frames of data simultaneously ('''New in 2.0''')<br />
* Show or hide a subset of lasers ('''New in 2.0''')<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win64&downloadFile=VeloView-2.0.0-31032014-Windows-64bit.exe Version 2.0 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win32&downloadFile=VeloView-2.0.0-31032014-Windows-32bit.exe Version 2.0 - Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=osx&downloadFile=VeloView-2.0.0-31032014-Darwin-64bit.dmg Version 2.0 - Mac OSX 10.8]<br />
<br />
Previous releases are also available<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Version 1.0.8 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Version 1.0.8 - Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Version 1.0.8 - Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=3e88f28e39dcdacb6a570b690eaf313484c0207b;sf=tgz version 2.0.0]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
* HDL-32E<br />
**IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
**Gateway: 255.255.255.0<br />
* HDL-64E<br />
**IP address: 192.168.3.70 (70 as example, any number except 43 works)<br />
**Gateway: 192.168.3.255<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E data no calibration file is needed (the HDL-32E calibration values are already incorporated in VeloView) therefore select “NONE”.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor.<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=56068VeloView2014-04-11T02:47:43Z<p>Caseygoodlett: /* How to Obtain */</p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:<br />
<br />
{|<br />
| {{#ev:vimeo|91453207}}<br />
| {{#ev:vimeo|73765745}}<br />
|}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== Features ==<br />
<br />
* Input from live sensor stream or recorded .pcap file<br />
* Visualization of LiDAR returns in 3D + time including 3d position and attribute data such as timestamp, azimuth, laser id, etc<br />
* Spreadsheet inspector for LiDAR attributes<br />
* Record to .pcap from sensor<br />
* Export to CSV or VTK formats<br />
* Record and export GPS and IMU data ('''New in 2.0''')<br />
* Ruler tool ('''New in 2.0''')<br />
* Visualize path of GPS data ('''New in 2.0''')<br />
* Show multiple frames of data simultaneously ('''New in 2.0''')<br />
* Show or hide a subset of lasers ('''New in 2.0''')<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win64&downloadFile=VeloView-2.0.0-31032014-Windows-64bit.exe Version 2.0 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win32&downloadFile=VeloView-2.0.0-31032014-Windows-32bit.exe Version 2.0 - Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=osx&downloadFile=VeloView-2.0.0-31032014-Darwin-64bit.dmg Version 2.0 - Mac OSX 10.8]<br />
<br />
Previous releases are also available<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Version 1.0.8 - Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Version 1.0.8 - Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Version 1.0.8 - Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=3e88f28e39dcdacb6a570b690eaf313484c0207b;sf=tgz version 2.0.0]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
* HDL-32E<br />
**IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
**Gateway: 255.255.255.0<br />
* HDL-64E<br />
**IP address: 192.168.3.70 (70 as example, any number except 43 works)<br />
**Gateway: 192.168.3.255<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E data no calibration file is needed (the HDL-32E calibration values are already incorporated in VeloView) therefore select “NONE”.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor.<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=56067VeloView2014-04-11T02:45:32Z<p>Caseygoodlett: /* Introduction */</p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:<br />
<br />
{|<br />
| {{#ev:vimeo|91453207}}<br />
| {{#ev:vimeo|73765745}}<br />
|}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== Features ==<br />
<br />
* Input from live sensor stream or recorded .pcap file<br />
* Visualization of LiDAR returns in 3D + time including 3d position and attribute data such as timestamp, azimuth, laser id, etc<br />
* Spreadsheet inspector for LiDAR attributes<br />
* Record to .pcap from sensor<br />
* Export to CSV or VTK formats<br />
* Record and export GPS and IMU data ('''New in 2.0''')<br />
* Ruler tool ('''New in 2.0''')<br />
* Visualize path of GPS data ('''New in 2.0''')<br />
* Show multiple frames of data simultaneously ('''New in 2.0''')<br />
* Show or hide a subset of lasers ('''New in 2.0''')<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win64&downloadFile=VeloView-2.0.0-31032014-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win32&downloadFile=VeloView-2.0.0-31032014-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=osx&downloadFile=VeloView-2.0.0-31032014-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=3e88f28e39dcdacb6a570b690eaf313484c0207b;sf=tgz version 2.0.0]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
* HDL-32E<br />
**IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
**Gateway: 255.255.255.0<br />
* HDL-64E<br />
**IP address: 192.168.3.70 (70 as example, any number except 43 works)<br />
**Gateway: 192.168.3.255<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E data no calibration file is needed (the HDL-32E calibration values are already incorporated in VeloView) therefore select “NONE”.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor.<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=56066VeloView2014-04-11T02:43:09Z<p>Caseygoodlett: /* Features */</p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:<br />
<br />
{{#ev:vimeo|73765745}}<br />
{{#ev:vimeo|91453207}}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== Features ==<br />
<br />
* Input from live sensor stream or recorded .pcap file<br />
* Visualization of LiDAR returns in 3D + time including 3d position and attribute data such as timestamp, azimuth, laser id, etc<br />
* Spreadsheet inspector for LiDAR attributes<br />
* Record to .pcap from sensor<br />
* Export to CSV or VTK formats<br />
* Record and export GPS and IMU data ('''New in 2.0''')<br />
* Ruler tool ('''New in 2.0''')<br />
* Visualize path of GPS data ('''New in 2.0''')<br />
* Show multiple frames of data simultaneously ('''New in 2.0''')<br />
* Show or hide a subset of lasers ('''New in 2.0''')<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win64&downloadFile=VeloView-2.0.0-31032014-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win32&downloadFile=VeloView-2.0.0-31032014-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=osx&downloadFile=VeloView-2.0.0-31032014-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=3e88f28e39dcdacb6a570b690eaf313484c0207b;sf=tgz version 2.0.0]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
* HDL-32E<br />
**IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
**Gateway: 255.255.255.0<br />
* HDL-64E<br />
**IP address: 192.168.3.70 (70 as example, any number except 43 works)<br />
**Gateway: 192.168.3.255<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E data no calibration file is needed (the HDL-32E calibration values are already incorporated in VeloView) therefore select “NONE”.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor.<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=56065VeloView2014-04-11T02:39:04Z<p>Caseygoodlett: /* How to Obtain */</p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:<br />
<br />
{{#ev:vimeo|73765745}}<br />
{{#ev:vimeo|91453207}}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== Features ==<br />
<br />
* Input from live sensor stream or recorded .pcap file<br />
* Visualization of LiDAR returns in 3D + time including 3d position and attribute data such as timestamp, azimuth, laser id, etc<br />
* Spreadsheet inspector for LiDAR attributes<br />
* Record to .pcap from sensor<br />
* Export to CSV or VTK formats<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win64&downloadFile=VeloView-2.0.0-31032014-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=win32&downloadFile=VeloView-2.0.0-31032014-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.1&type=app&os=osx&downloadFile=VeloView-2.0.0-31032014-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=3e88f28e39dcdacb6a570b690eaf313484c0207b;sf=tgz version 2.0.0]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
* HDL-32E<br />
**IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
**Gateway: 255.255.255.0<br />
* HDL-64E<br />
**IP address: 192.168.3.70 (70 as example, any number except 43 works)<br />
**Gateway: 192.168.3.255<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E data no calibration file is needed (the HDL-32E calibration values are already incorporated in VeloView) therefore select “NONE”.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor.<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=56064VeloView2014-04-11T02:35:41Z<p>Caseygoodlett: /* Introduction */</p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:<br />
<br />
{{#ev:vimeo|73765745}}<br />
{{#ev:vimeo|91453207}}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== Features ==<br />
<br />
* Input from live sensor stream or recorded .pcap file<br />
* Visualization of LiDAR returns in 3D + time including 3d position and attribute data such as timestamp, azimuth, laser id, etc<br />
* Spreadsheet inspector for LiDAR attributes<br />
* Record to .pcap from sensor<br />
* Export to CSV or VTK formats<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=761b169861284377672499c2250912489d52d7b5;sf=tgz version 1.0.8]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
* HDL-32E<br />
**IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
**Gateway: 255.255.255.0<br />
* HDL-64E<br />
**IP address: 192.168.3.70 (70 as example, any number except 43 works)<br />
**Gateway: 192.168.3.255<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E data no calibration file is needed (the HDL-32E calibration values are already incorporated in VeloView) therefore select “NONE”.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor.<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=56034VeloView2014-04-07T13:30:17Z<p>Caseygoodlett: </p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:<br />
<br />
{{#ev:vimeo|73765745}}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== Features ==<br />
<br />
* Input from live sensor stream or recorded .pcap file<br />
* Visualization of LiDAR returns in 3D + time including 3d position and attribute data such as timestamp, azimuth, laser id, etc<br />
* Spreadsheet inspector for LiDAR attributes<br />
* Record to .pcap from sensor<br />
* Export to CSV or VTK formats<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=761b169861284377672499c2250912489d52d7b5;sf=tgz version 1.0.8]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
* HDL-32E<br />
**IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
**Gateway: 255.255.255.0<br />
* HDL-64E<br />
**IP address: 192.168.3.70 (70 as example, any number except 43 works)<br />
**Gateway: 192.168.3.255<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E data no calibration file is needed (the HDL-32E calibration values are already incorporated in VeloView) therefore select “NONE”.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor.<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=55152VeloView2014-02-14T18:49:37Z<p>Caseygoodlett: /* How to use */</p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:<br />
<br />
{{#ev:vimeo|73765745}}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=761b169861284377672499c2250912489d52d7b5;sf=tgz version 1.0.8]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
* HDL-32E<br />
**IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
**Gateway: 255.255.255.0<br />
* HDL-64E<br />
**IP address: 192.168.3.70 (70 as example, any number except 43 works)<br />
**Gateway: 192.168.3.255<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E data no calibration file is needed (the HDL-32E calibration values are already incorporated in VeloView) therefore select “NONE”.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor.<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=54514VeloView2013-11-18T02:10:46Z<p>Caseygoodlett: </p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:<br />
<br />
{{#ev:vimeo|73765745}}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=761b169861284377672499c2250912489d52d7b5;sf=tgz version 1.0.8]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to use ==<br />
For “sensor streaming” (live display of sensor data) it is important to change the network settings of the Ethernet adapter connected to the sensor from automatic IP address to manual IP address selection and choose:<br />
<br />
*IP address: 192.168.1.70 (70 as example, any number except 201 works)<br />
*Gateway: 255.255.255.0<br />
<br />
In order for sensor streaming to work properly, it is important to disable firewall restrictions for the Ethernet port. Disable the firewall completely for the ethernet device connected to the sensor or explicitly allow data from that Ethernet port of (including both public and private networks).<br />
<br />
When opening pre-recorded data or live sensor streaming data one is prompted to choose a calibration file.<br />
*For HDL-32E data no calibration file is needed (the HDL-32E calibration values are already incorporated in VeloView) therefore select “NONE”.<br />
*For HDL-64E data the correct calibration file for that sensor needs to be chosen. The calibration file can be found on the individual product CD that was send with the HDL-64E sensor. <br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=54231VeloView2013-10-21T17:20:31Z<p>Caseygoodlett: </p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:<br />
<br />
{{#ev:vimeo|73765745}}<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=761b169861284377672499c2250912489d52d7b5;sf=tgz version 1.0.8]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=54143VeloView2013-09-25T13:49:16Z<p>Caseygoodlett: /* Introduction */</p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a video:<br />
<br />
[[File:VeloViewIntroSlide.jpg|400px | link=https://vimeo.com/73765745 |alt=VeloView Video |VeloView Introduction]]<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=761b169861284377672499c2250912489d52d7b5;sf=tgz version 1.0.8]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=File:VeloViewIntroSlide.jpg&diff=54142File:VeloViewIntroSlide.jpg2013-09-25T13:42:58Z<p>Caseygoodlett: Introductory slide for veloview video</p>
<hr />
<div>Introductory slide for veloview video</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=Veloview&diff=54140Veloview2013-09-24T18:35:20Z<p>Caseygoodlett: Redirected page to VeloView</p>
<hr />
<div>#REDIRECT [[VeloView]]</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=54093VeloView2013-09-09T14:29:22Z<p>Caseygoodlett: /* Introduction */</p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E). An introduction to features of VeloView is available as a [https://vimeo.com/73765745 video]<br />
<br />
VeloView can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=761b169861284377672499c2250912489d52d7b5;sf=tgz version 1.0.8]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=ParaView&diff=53909ParaView2013-08-27T16:51:27Z<p>Caseygoodlett: /* ParaView based Applications */</p>
<hr />
<div><center>[[image:pvsplash1.png]]</center><br />
<br />
<br />
<br />
ParaView is an open-source, multi-platform application designed to visualize data sets of varying sizes from small to very large. The goals of the ParaView project include developing an open-source, multi-platform visualization application that supports distributed computational models to process large data sets. It has an open, flexible, and intuitive user interface. Furthermore, ParaView is built on an extensible architecture based on open standards. ParaView runs on distributed and shared memory parallel as well as single processor systems and has been succesfully tested on Windows, Linux, Mac OS X, IBM Blue Gene, Cray XT3 and various Unix workstations and clusters. Under the hood, ParaView uses the Visualization Toolkit as the data processing and rendering engine and has a user interface written using the Qt cross-platform application framework.<br />
<br />
'''The ParaView Users Guide is online here: [http://paraview.org/Wiki/ParaView/Users_Guide/Table_Of_Contents The ParaView Users Guide]'''<br />
<br />
The goal of this Wiki is to provide up-to-date documentation maintained by the developer and user communities. As such, we welcome volunteers that would like to contribute. If you are interested in contributing, please contact us on the ParaView mailing list http://public.kitware.com/mailman/listinfo/paraview.<br />
<br />
'''For new users, download and install the [http://paraview.org/paraview/resources/software.php ParaView binaries] for your local computer, and then read [[The ParaView Tutorial]]. ''' Additional tutorials are located under [[#Books and Tutorials]] below.<br />
<br />
You can find more information about ParaView on the ParaView web site: http://paraview.org. For more help, including a list of all sources and filters, check out http://paraview.org/paraview/help/help.html and http://paraview.org/paraview/help/documentation.html.<br />
<br />
==ParaView In Use==<br />
* [[ParaView In Action]]<br />
: Some examples of how ParaView is used<br />
<br />
* [http://flickr.com/groups/paraview/pool/ ParaView Screenshots]<br />
: Screenshots generated by ParaView<br />
<br />
* [[ParaView/HPC Installations|HPC Installations]]<br />
: Links to documentation of ParaView installations on various HPC sites<br />
<br />
== Documentation ==<br />
{| border="0" align="center" width="98%" valign="top" cellspacing="7" cellpadding="2"<br />
|-<br />
! width="33%"|<br />
! |<br />
! width="33%"|<br />
! |<br />
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|- <br />
|valign="top"|<br />
<br />
===Compile/Install===<br />
----<br />
* [http://paraview.org/paraview/resources/software.php Download ParaView]<br />
: Instructions for downloading source as well as pre-compiled binaries for common platforms.<br />
* [[ParaView Release Notes]]<br />
: Collection of release notes for official ParaView releases.<br />
* [[ParaView/Git| Git Instructions]]<br />
: Git is the revision control system that ParaView uses. If you would like to have the bleeding edge version of ParaView, or you would like to contribute code, this link describes the method you must use to get the code.<br />
* [[ParaView Nightly Binaries]]<br />
: Downloading nightly binaries for development versions of ParaView.<br />
* [[ParaView:Build And Install|Building and Installation instructions]]<br />
: Compiling and installing ParaView from source.<br />
* [[ParaView And Mesa 3D]]<br />
: Building ParaView with [http://www.mesa3d.org Mesa 3D].<br />
* [[ParaView Binaries | ParaView Binaries Build Information]]<br />
: Information about the official ParaView builds and versions of various dependencies used.<br />
<br />
===Server Setup===<br />
----<br />
* [[Setting up a ParaView Server| ParaView Server Setup]]<br />
:Configuring your cluster to act as a ParaView server.<br />
* [[Starting the server| ParaView Server Startup Using GUI]]<br />
:Using the ParaView client to start the servers.<br />
* [[ParaView:Server Configuration| Server Configuration]] <br />
:Customizing server startup and connection processes using XML-based configuration scripts.<br />
* [[ParaView/Distributing Server Configuration Files|Distributing Server Configuration Files]]<font color="green">*new in 3.14</font><br />
:Strategies for distributing server configuration xmls.<br />
* [[Reverse_connection_and_port_forwarding| Port forwarding]]<br />
:To run ParaView on clusters with head nodes - compute nodes<br />
* [[Configuring Server Environment Using *.pvx XML Files]]<br />
:Configure your cluster environment such as DISPLAY, or Cave settings using *.pvx xml files.<br />
* [http://www.iac.es/sieinvens/siepedia/pmwiki.php?n=HOWTOs.ParaviewInACluster Cluster Configuration to run ParaView]<br />
:A guide for configuring a cluster to run ParaView<br />
<br />
===Importing Data===<br />
----<br />
* [[Generating data]]<br />
:How to write out data in a format that Paraview understands<br />
* [[Data formats]]<br />
: More information on data formats ParaView supports and how to load them.<br />
* [[Writing ParaView Readers]]<br />
:How to write a VTK reader that will read your data directly into ParaView.<br />
* [[ParaView/ParaView Readers and Parallel Data Distribution|ParaView Readers and Parallel Data Distribution]]<br />
:How data is loaded in parallel for various readers.<br />
<br />
===Finding Data===<br />
----<br />
* [[Find Data using Queries]] <font color="green">* new in 3.8 </font><br />
: Selecting and focusing on subset of a dataset using queries.<br />
* [[Data Selection]]<br />
: Selecting and focusing on subset of a dataset.<br />
<br />
===Analyzing Data===<br />
----<br />
* [[Parameter Study|Parameter Study (Comparative Visualization)]] <font color="green">* improved in 3.8</font><br />
: Creating visualizations to compare effects for change in parameter(s).<br />
* [[Statistical analysis]]<br />
: Computing statistics and using them to assess datasets.<br />
<br />
===Animation===<br />
----<br />
* [[Animating legacy VTK file series]]<br />
: Animating file series.<br />
* [[Disconnecting from server while still saving an animation|Unattended saving of animation]]<br />
: Saving animations on the server without client connection.<br />
* [[Animation View]]<br />
: Using ''Animation View'' to setup animations.<br />
* [[Animating the Camera]]<br />
: Creating animations involving camera movements.<br />
<br />
===Plugins===<br />
----<br />
* [[Plugin HowTo | Extending ParaView Using Plugins]]<br />
:Using and writing new plugins to extend ParaView's functionality.<br />
* [[Extending ParaView at Compile Time]]<br />
:Including extensions into ParaView at compile time.<br />
* [http://pluginwizard.mirarco.org/ Plugin Wizard]<br />
:A simple wizard application developed by MIRARCO that provides boilerplate code for some of the most common plugin types.<br />
* [[User Created Plugins]] <br />
:Please post plugins that you have created that may be useful for other users.<br />
* [[Writing Custom Applications]] <font color="green">* new in 3.8</font><br />
: Writing custom applications based on ParaView.<br />
* [[ParaView:Plugin Deployment with Development Installs|Plugin Deployment with Development Installs]]<br />
: Building plugins for deployment with Released ParaView binaries.<br />
|bgcolor="#CCCCCC"|<br />
|valign="top"|<br />
<br />
===Python Scripting===<br />
----<br />
* [[ParaView/EnvironmentSetup|Environment Setup]]<br />
: Environment variables to set when using Python shell besides pvpython/pvbatch or Python shell in ParaView GUI.<br />
* [[ParaView/Python Scripting|Python Scripting]] <font color="green">* updated to 3.6</font><br />
: Scripting ParaView using python<br />
* [[Python Programmable Filter]]<br />
: Generating/Processing data using python.<br />
* [[Python GUI Tools]] <font color="green">* updated for 3.10</font><br />
: Using the python shell interface in paraview including generating python trace.<br />
* Python [[Python recipes|recipes]] for ParaView<br />
: Collection of python scripts for some common tasks.<br />
* [[SNL ParaView 3 Python Tutorials]]<br />
: Beginning and advanced tutorial sets, each presented as 2 hour classes by Sandia National Laboratories<br />
<br />
===GUI Features===<br />
----<br />
* [[Camera and Property Linking]]<br />
: Synchronizing filters, clip planes, camera etc.<br />
* [[Color Palettes]]<br />
: Creating visualizations for Print and Screen.<br />
* [[Colormaps]]<br />
: Details of ParaView's xml colormap file format and collections of colormaps for use with ParaView. <br />
* [[ParaView/UI/CopyPaste|Copy/Paste Friendly]] <font color="green">* new feature for 3.14</font><br />
: Using ParaView Copy/Paste inside information tab and spreadsheet view<br />
* [[Custom Filters]]<br />
: Packaging pipelines into a single composite.<br />
* [[ParaView/Image Compressor Configuration|Image Compressor Configuration]]<br />
: How to configure ParaView's image compressor for use during remote rendering.<br />
* [[ParaView/Users_Guide/Memory_Inspector|Memory Inspector Panel]] <font color="green">* updated in 3.98.0 </font><br />
: Using ParaView's Memory Inspector Panel and its debugging features.<br />
* [[ParaView Settings Files]]<br />
: The locations where ParaView saves settings.<br />
* [[ParaView/Properties Panel|Properties Panel]] <font color="green">* updated for 4.0</font><br />
: Using and customizing the Properties Panel.<br />
* [[Space Navigator]] <font color="green">* new feature for 3.10</font><br />
: Using ParaView with Space Navigator<br />
* [[Sortable spreadsheet view]] <font color="green">* new feature for 3.10</font><br />
: What can be done with the spreadsheet column sorting and how it works<br />
* [[ParaView/UI/TextFinder|Text Finder]] <font color="green">* new feature for 3.14</font><br />
: Searching in long lists and tables in the ParaView GUI.<br />
<br />
===Other Features===<br />
----<br />
* [[Restarted Simulation Readers]]<br />
: Loading restarted data for different file formats.<br />
* [[Exporting Scenes]]<br />
: Exporting scenes as VRML, X3D etc.<br />
* [[Backwards compatibility in state files]]<br />
: Backwards compatibility for ParaView state files (*.pvsm).<br />
* [[ParaView/Collaboration| Collaboration]] <font color="green">* new in 3.14</font><br />
: Information of the changes that have been done undercover to support and improve collaboration.<br />
* [[ParaView/Vector Graphics Export| Vector Graphics Export]] <font color="green">* new in 3.98</font><br />
: Export publication quality 3D scenes and charts.<br />
* [[ParaView/Equation Rendering| Equation Rendering]] <font color="green">* new in 3.98.1</font><br />
: Annotating scenes with mathematical equations.<br />
* [[Spatio-Temporal Parallelism]] <font color="green">* available in the ParaView Git repository</font><br />
<br />
=== Books and Tutorials ===<br />
----<br />
* [http://www.kitware.com/products/books.html The ParaView Guide]<br />
: The official ParaView guide available from Kitware. [[Book Errata]]<br />
* [[ParaView/Users_Guide/Table_Of_Contents | ParaView Users' Guide]]<br />
: The newly revised official ParaView guide.<br />
*[http://www.paraview.org/paraview/help/api-documentation.html ParaView API Documentation]<br />
: API documentation auto-generated from the source files.<br />
* [[The ParaView Tutorial]]<br />
: An introductory and comprehensive tutorial.<br />
* [[Media:CatalystUsersGuide.pdf|ParaView Catalyst User's Guide]]<br />
: The offical ParaView Catalyst User's Guide corresponding to ParaView 4.0.1.<br />
*[[Sixth OpenFOAM workshop]]<br />
: Slides and data from the Advanced ParaView for tutorial. <br />
* ParaView Videos on Channel 9<br />
: [http://channel9.msdn.com/Shows/The+HPC+Show/Open-source-HPC-code-Episode-22-Running-Paraview-on-Windows-HPC-Server Using ParaView in Windows HPC Server]<br />
: [http://channel9.msdn.com/Shows/The+HPC+Show/Open-source-HPC-code-Episode-21-An-Introduction-to-Paraview Introduction to ParaView]<br />
*[[IEEE Vis10 DIY Vis Application - ParaView]]<br />
: Tutorial slides and code for the IEEE Vis DIY Vis Applications, ParaView section.<br />
* [[IEEE Vis09 Revise Workshop]]<br />
: Description of ParaView's reconfigurable client application infrastructure - aka 'branding'<br />
* [[IEEE Vis09 ParaView Tutorial]]<br />
: Slides for the advanced topics tutorial by Sandia, Kitware, and LANL.<br />
* [[IEEE Cluster 2009 ParaView Tutorial]]<br />
: Slides on topics for installing and using ParaView on visualization clusters.<br />
* [[SNL ParaView 3 Tutorials]]<br />
: Beginning and advanced tutorial sets, each presented as 2 hour classes by Sandia National Laboratories<br />
* [[IEEE Vis08 ParaView Tutorial]]<br />
: Slides for the advanced topics tutorial by Sandia, Kitware, and CSCS.<br />
* [https://visualization.hpc.mil/paraview HPCMP DAAC - Information & Tutorials on ParaView ]. <br />
: This Wiki is full of useful information and tutorials about ParaView.<br />
* [[howtos|Howtos]]<br />
: These howtos are instructions for some common operations.<br />
* [[Related Publications]]<br />
: ParaView related books, articles and papers<br />
* [[ParaView 2 Tutorials]]<br />
<br />
<br />
|bgcolor="#CCCCCC"|<br />
|valign="top"|<br />
<br />
===Design & Implementation===<br />
----<br />
* [[Testing design]]<br />
: ParaView GUI Testing framework.<br />
* [[Block Hierarchy Meta Data]]<br />
: Providing details about blocks, hierarchies, assemblies etc. to the client.<br />
* [[Multiple views]]<br />
: Details on handling multiple views in client-server framework.<br />
* [[Composite Datasets in VTK|Composite Datasets]]<br />
: Dealing with composite datasets in VTK.<br />
* [[Representations and Views]]<br />
: Understanding ParaView's views and representations.<br />
* [[Time in ParaView]]<br />
: Understanding Time implementation.<br />
* [[Cross compiling ParaView3 and VTK|Cross-compiling ParaView]]<br />
: Compiling ParaView and VTK on BlueGene and Cray Xt3/Catamount.<br />
* [[Selection Implementation in VTK and ParaView III]]<br />
* [[Suggested online help documentation changes]]<br />
: Suggestions for online help documentation changes.<br />
* [[ServerManager XML Hints]]<br />
: A place to document ServerManager configuration XML hints.<br />
* [[ParaView/Surface LIC Implementation|Surface LIC Plugin]]<br />
: Implementation details of the Surface LIC plugin.<br />
<br />
===ParaView based Applications===<br />
----<br />
* [[StreamingParaView]]<br />
: Documentation about the StreamingParaView application.<br />
* [[VeloView]]<br />
: An application for visualizing and processing Velodyne LiDAR data<br />
<br />
===Web Visualization with ParaView===<br />
----<br />
* [[ParaViewWeb | ParaView Web Visualization Framework]]<br />
: Documentation for the ParaView Web Visualization Framework<br />
<br />
===''In situ'' Analysis with ParaView===<br />
----<br />
* [[ParaView/Catalyst/Overview | ParaView Catalyst]]<br />
: Documentation for using ParaView for co-processing<br />
<br />
===Plugins Distributed with ParaView===<br />
----<br />
:[[ParaView/Users_Guide/Included Plugins| Included Plugins]]<br />
<br />
===Community Contributed Plugins===<br />
----<br />
:[[ParaView/Guidelines for Contributing Plugins | Guidelines for Contributing Plugins]]<br />
<br />
===Miscellaneous===<br />
----<br />
* [[terminology map|Terminology Disambiguation]]<br />
* [http://kitware.com/products/thesource.html The Kitware Source]<br />
: Quarterly newsletter for developers designed to deliver detailed technical articles related to Kitware's open source products including ParaView.<br />
* [http://paraview.org/New/help.html More information about ParaView]<br />
* [[Terminology map | Real world concept -> Paraview terminology map]]<br />
: Often new users may say "Surely Paraview can do X... but I can't find it!". This terminology map should help!<br />
<br />
===Developers Corner===<br />
----<br />
====Mailing List====<br />
The developers mailing list is here: http://public.kitware.com/mailman/subscribe/paraview-developers<br />
This should be used for questions about modifying the Paraview code, not using Paraview.<br />
<br />
====Plugin Development====<br />
* [[Paraview_Make building Paraview plugin optional|Make building Paraview plugin optional]]<br />
<br />
====Handy Developer Info====<br />
* [[ParaView/Developer_Info | Developer Information]]<br />
<br />
====Release Testing====<br />
* [[Release Testing]]<br />
<br />
{{ParaView/Template/Footer}}<br />
|}</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=53896VeloView2013-08-26T20:09:53Z<p>Caseygoodlett: /* How to Obtain */</p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E), and it can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license. Source code is available as a .tgz file for [http://public.kitware.com/gitweb?p=VeloView.git;a=snapshot;h=761b169861284377672499c2250912489d52d7b5;sf=tgz version 1.0.8]. To obtain the latest version clone the git repository as shown below:<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=53895VeloView2013-08-26T20:01:20Z<p>Caseygoodlett: /* Introduction */</p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured 3D LiDAR data from Velodyne's HDL sensors (HDL-32E and HDL-64E), and it can playback pre-recorded data stored in .pcap files. The HDL sensor sweeps an array of lasers (32 or 64) 360º and a vertical field of view of 40º/26º with 5-20Hz and captures about a million points per second (HDL-32E: ~700,000pt/sec; HDL-64E: ~1.3Million pt/sec). VeloView displays the distance measurements from the HDL as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. The data can be exported as XYZ data in CSV format or screenshots of the currently displayed point cloud can be exported with the touch of a button.<br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=VeloView&diff=53894VeloView2013-08-26T16:58:50Z<p>Caseygoodlett: Initial page for veloview</p>
<hr />
<div>== Introduction ==<br />
<br />
VeloView performs real-time visualization of live captured lidar data from the HDL sensor, and it can playback pre-recorded data stored in files. The HDL sensor sweeps an array of lasers 360 degrees at 10 hz and captures more than 1 million points per second. VeloView displays the laser measurements as point cloud data and supports custom color maps of multiple variables such as intensity-of-return, time, distance, azimuth, and laser id. <br />
<br />
== How to Obtain ==<br />
<br />
Binary installers for VeloView are available as community contributed applications:<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-64bit.exe Windows 64 ]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=win64&downloadFile=VeloView-1.0.8-Windows-32bit.exe Windows 32]<br />
* [http://www.paraview.org/paraview-downloads/download.php?submit=Download&version=v4.0&type=app&os=osx&downloadFile=VeloView-1.0.8-Darwin-64bit.dmg Mac OSX 10.8]<br />
<br />
The source code for VeloView is made available under the Apache 2.0 license<br />
$ git clone git://public.kitware.com/VeloView.git<br />
<br />
Sample data for VeloView can be obtained from [http://www.midasplatform.org/ MIDAS] in the [http://midas3.kitware.com/midas/community/29 Velodyne LiDAR collection].<br />
<br />
== How to build ==<br />
<br />
Detailed instructions for building and packaging are available in [http://public.kitware.com/gitweb?p=VeloView.git;a=blob_plain;f=Documentation/VeloView_Developer_Guide.pdf;h=53a6b93bd34e453f17303f1d48476492a8284596;hb=HEAD developers guide] the source code checkout under the Documentation folder.</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=TubeTK/Development/GITCheatSheet&diff=20441TubeTK/Development/GITCheatSheet2010-02-09T20:44:33Z<p>Caseygoodlett: /* Workflow recommendation */</p>
<hr />
<div>= Workflow recommendation =<br />
# Keep a local master branch which only is a pointer to the gitorious master (does not contain local changes)<br />
# Make development modification in a local branch<br />
# When getting ready to push these changes to the origin try the following<br />
## Do a git pull on master to fetch and merge all changes from gitorious<br />
### '''git checkout master'''<br />
### '''git pull origin master'''<br />
## Do a git rebase of the topic branch onto master - That is with topic checkout do "git rebase master"<br />
### '''git rebase master topic'''<br />
## Fix any conflicts that result<br />
### Edit files<br />
### '''git add -u'''<br />
### '''git rebase --continue'''<br />
## Merge the topic branch - This will result in an fast-forward merge.<br />
### '''git merge topic'''<br />
## git push your local master branch<br />
### '''git push origin master'''<br />
# If for some reason you have ever pushed your development branch to someone else don't rebase it as this is effectively rewriting history<br />
# If you want to keep a record that your local development was made in parallel to some other development, do a git merge instead of git rebase in step 2 of above<br />
<br />
= Create a checkout =<br />
* git clone git://gitorious.org/tubetk/tubetk.git<br />
<br />
<br />
= Stash local changes temporarily =<br />
* git stash<br />
<br />
= Create a local branch =<br />
* git branch test<br />
<br />
= Swtich to a local branch =<br />
* git checkout test<br />
<br />
= Get stashed local changes =<br />
* git stash pop<br />
<br />
= Update a branch to the remote master's head =<br />
* git stash<br />
* git rebase origin master<br />
* git stash pop<br />
<br />
= Add to local commit =<br />
* git add <filename><br />
* git add -A<br />
<br />
= Push local commit =<br />
* git push origin master<br />
<br />
= Remove a local branch =<br />
* git checkout master<br />
* git branch -d <branch><br />
<br />
= Track a remote branch =<br />
* "git fetch" (get up to date) or "git pull"<br />
* git branch --track somebranch origin/somebranch <br />
** --track is not needed unless you've set branch.autosetupmerge to false in your config<br />
* git checkout somebranch<br />
* git commit <br />
* git push<br />
** sends changes to origin/somebranch<br />
<br />
= Delete a remote branch =<br />
* Don't do this unless you're incredibly confident in what you're doing<br />
* git push origin :somebranch<br />
<br />
= Project History =<br />
* git log ( To view the history of your changes )<br />
* git log -p ( To see complete diffs at each step )<br />
* git log --stat --summary ( To see overview )<br />
<br />
= Three ways to commit to remote/master =<br />
# Without branching ( Good for quick changes )<br />
# Branching and merging <br />
# Branching and rebasing<br />
= Additional References =<br />
* GIT tutorial [http://www.kernel.org/pub/software/scm/git/docs/gittutorial.html]</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=TubeTK/Development/GITCheatSheet&diff=20430TubeTK/Development/GITCheatSheet2010-02-09T15:43:56Z<p>Caseygoodlett: /* Workflow recommendation */</p>
<hr />
<div>= Workflow recommendation =<br />
# Keep a local master branch which only is a pointer to the gitorious master (does not contain local changes)<br />
# Make development modification in a local branch<br />
# When getting ready to push these changes to the origin try the following<br />
## Do a git pull on master to fetch and merge all changes from gitorious<br />
### '''git checkout master'''<br />
### '''git pull origin master'''<br />
## Do a git rebase of the topic branch onto master - That is with topic checkout do "git rebase master"<br />
### '''git rebase topic'''<br />
## Fix any conflicts that result<br />
### Edit files<br />
### '''git add -u'''<br />
### '''git rebase --continue'''<br />
## Merge the topic branch - This will result in an fast-forward merge.<br />
### '''git merge topic'''<br />
## git push your local master branch<br />
### '''git push origin master'''<br />
# If for some reason you have ever pushed your development branch to someone else don't rebase it as this is effectively rewriting history<br />
# If you want to keep a record that your local development was made in parallel to some other development, do a git merge instead of git rebase in step 2 of above<br />
<br />
= Create a checkout =<br />
* git clone git://gitorious.org/tubetk/tubetk.git<br />
<br />
<br />
= Stash local changes temporarily =<br />
* git stash<br />
<br />
= Create a local branch =<br />
* git branch test<br />
<br />
= Swtich to a local branch =<br />
* git checkout test<br />
<br />
= Get stashed local changes =<br />
* git stash pop<br />
<br />
= Update a branch to the remote master's head =<br />
* git stash<br />
* git rebase origin master<br />
* git stash pop<br />
<br />
= Add to local commit =<br />
* git add <filename><br />
* git add -A<br />
<br />
= Push local commit =<br />
* git push origin master<br />
<br />
= Remove a local branch =<br />
* git checkout master<br />
* git branch -d <branch><br />
<br />
= Track a remote branch =<br />
* "git fetch" (get up to date) or "git pull"<br />
* git branch --track somebranch origin/somebranch <br />
** --track is not needed unless you've set branch.autosetupmerge to false in your config<br />
* git checkout somebranch<br />
* git commit <br />
* git push<br />
** sends changes to origin/somebranch<br />
<br />
= Delete a remote branch =<br />
* Don't do this unless you're incredibly confident in what you're doing<br />
* git push origin :somebranch<br />
<br />
= Project History =<br />
* git log ( To view the history of your changes )<br />
* git log -p ( To see complete diffs at each step )<br />
* git log --stat --summary ( To see overview )<br />
<br />
= Three ways to commit to remote/master =<br />
# Without branching ( Good for quick changes )<br />
# Branching and merging <br />
# Branching and rebasing<br />
= Additional References =<br />
* GIT tutorial [http://www.kernel.org/pub/software/scm/git/docs/gittutorial.html]</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=TubeTK/Development/GITCheatSheet&diff=20426TubeTK/Development/GITCheatSheet2010-02-09T15:28:11Z<p>Caseygoodlett: /* Workflow recommendation */</p>
<hr />
<div>= Workflow recommendation =<br />
# Keep a local master branch which only is a pointer to the gitorious master (does not contain local changes)<br />
# Make development modification in a local branch<br />
# When getting ready to push these changes to the origin try the following<br />
## Do a git pull on master to fetch and merge all changes from gitorious<br />
## Do a git rebase of the topic branch onto master - That is with topic checkout do "git rebase master"<br />
## Fix any conflicts that result<br />
## Checkout the local master<br />
## Merge the topic branch - This will result in an fast-forward merge.<br />
## git push your local master branch<br />
# If for some reason you have ever pushed your development branch to someone else don't rebase it as this is effectively rewriting history<br />
# If you want to keep a record that your local development was made in parallel to some other development, do a git merge instead of git rebase in step 2 of above<br />
<br />
= Create a checkout =<br />
* git clone git://gitorious.org/tubetk/tubetk.git<br />
<br />
<br />
= Stash local changes temporarily =<br />
* git stash<br />
<br />
= Create a local branch =<br />
* git branch test<br />
<br />
= Swtich to a local branch =<br />
* git checkout test<br />
<br />
= Get stashed local changes =<br />
* git stash pop<br />
<br />
= Update a branch to the remote master's head =<br />
* git stash<br />
* git rebase origin master<br />
* git stash pop<br />
<br />
= Add to local commit =<br />
* git add <filename><br />
* git add -A<br />
<br />
= Push local commit =<br />
* git push origin master<br />
<br />
= Remove a local branch =<br />
* git checkout master<br />
* git branch -d <branch><br />
<br />
= Track a remote branch =<br />
* "git fetch" (get up to date) or "git pull"<br />
* git branch --track somebranch origin/somebranch <br />
** --track is not needed unless you've set branch.autosetupmerge to false in your config<br />
* git checkout somebranch<br />
* git commit <br />
* git push<br />
** sends changes to origin/somebranch<br />
<br />
= Delete a remote branch =<br />
* Don't do this unless you're incredibly confident in what you're doing<br />
* git push origin :somebranch<br />
<br />
= Project History =<br />
* git log ( To view the history of your changes )<br />
* git log -p ( To see complete diffs at each step )<br />
* git log --stat --summary ( To see overview )<br />
<br />
= Three ways to commit to remote/master =<br />
# Without branching ( Good for quick changes )<br />
# Branching and merging <br />
# Branching and rebasing<br />
= Additional References =<br />
* GIT tutorial [http://www.kernel.org/pub/software/scm/git/docs/gittutorial.html]</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=TubeTK/Development/GITCheatSheet&diff=20425TubeTK/Development/GITCheatSheet2010-02-09T15:26:03Z<p>Caseygoodlett: </p>
<hr />
<div>= Workflow recommendation =<br />
* Keep a local master branch which only is a pointer to the gitorious master (does not contain local changes)<br />
* Make development modification in a local branch<br />
* When getting ready to push these changes to the origin try the following<br />
** Do a git pull on master to fetch and merge all changes from gitorious<br />
** Do a git rebase of the topic branch onto master - That is with topic checkout do "git rebase master"<br />
** Fix any conflicts that result<br />
** Checkout the local master<br />
** Merge the topic branch - This will result in an fast-forward merge.<br />
** git push your local master branch<br />
<br />
= Create a checkout =<br />
* git clone git://gitorious.org/tubetk/tubetk.git<br />
<br />
<br />
= Stash local changes temporarily =<br />
* git stash<br />
<br />
= Create a local branch =<br />
* git branch test<br />
<br />
= Swtich to a local branch =<br />
* git checkout test<br />
<br />
= Get stashed local changes =<br />
* git stash pop<br />
<br />
= Update a branch to the remote master's head =<br />
* git stash<br />
* git rebase origin master<br />
* git stash pop<br />
<br />
= Add to local commit =<br />
* git add <filename><br />
* git add -A<br />
<br />
= Push local commit =<br />
* git push origin master<br />
<br />
= Remove a local branch =<br />
* git checkout master<br />
* git branch -d <branch><br />
<br />
= Track a remote branch =<br />
* "git fetch" (get up to date) or "git pull"<br />
* git branch --track somebranch origin/somebranch <br />
** --track is not needed unless you've set branch.autosetupmerge to false in your config<br />
* git checkout somebranch<br />
* git commit <br />
* git push<br />
** sends changes to origin/somebranch<br />
<br />
= Delete a remote branch =<br />
* Don't do this unless you're incredibly confident in what you're doing<br />
* git push origin :somebranch<br />
<br />
= Project History =<br />
* git log ( To view the history of your changes )<br />
* git log -p ( To see complete diffs at each step )<br />
* git log --stat --summary ( To see overview )<br />
<br />
= Three ways to commit to remote/master =<br />
# Without branching ( Good for quick changes )<br />
# Branching and merging <br />
# Branching and rebasing<br />
= Additional References =<br />
* GIT tutorial [http://www.kernel.org/pub/software/scm/git/docs/gittutorial.html]</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=TubeTK/Development/GITCheatSheet&diff=19741TubeTK/Development/GITCheatSheet2010-01-25T18:35:35Z<p>Caseygoodlett: /* Track a remote branch */</p>
<hr />
<div>= Create a checkout =<br />
*git clone git://gitorious.org/tubetk/tubetk.git<br />
<br />
= Push local changes =<br />
*git push origin master<br />
<br />
= Track a remote branch =<br />
* "git fetch" (get up to date) or "git pull"<br />
*git branch --track somebranch origin/somebranch <br />
** --track is not needed unless you've set branch.autosetupmerge to false in your config<br />
*git checkout somebranch<br />
*git commit <br />
*git push<br />
** sends changes to origin/somebranch</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=TubeTK/Development/GITCheatSheet&diff=19740TubeTK/Development/GITCheatSheet2010-01-25T18:35:18Z<p>Caseygoodlett: /* Track a remote branch */</p>
<hr />
<div>= Create a checkout =<br />
*git clone git://gitorious.org/tubetk/tubetk.git<br />
<br />
= Push local changes =<br />
*git push origin master<br />
<br />
= Track a remote branch =<br />
* "git fetch" (get up to date) or "git pull"<br />
*git branch --track somebranch origin/somebranch <br />
** --track is not needed unles you've set branch.autosetupmerge in your config<br />
*git checkout somebranch<br />
*git commit <br />
*git push<br />
** sends changes to origin/somebranch</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=TubeTK/Development/GITCheatSheet&diff=19739TubeTK/Development/GITCheatSheet2010-01-25T18:34:34Z<p>Caseygoodlett: New page: = Create a checkout = *git clone git://gitorious.org/tubetk/tubetk.git = Push local changes = *git push origin master = Track a remote branch = "git fetch" (get up to date) or "git pull"...</p>
<hr />
<div>= Create a checkout =<br />
*git clone git://gitorious.org/tubetk/tubetk.git<br />
<br />
= Push local changes =<br />
*git push origin master<br />
<br />
= Track a remote branch =<br />
"git fetch" (get up to date) or "git pull"<br />
*git branch --track somebranch origin/somebranch <br />
*git checkout somebranch<br />
*git commit <br />
*git push<br />
** sends changes to origin/somebranch<br />
** --track is not needed unles you've set branch.autosetupmerge in your config</div>Caseygoodletthttps://public.kitware.com/Wiki/index.php?title=TubeTK&diff=19738TubeTK2010-01-25T18:30:42Z<p>Caseygoodlett: /* Documentation */</p>
<hr />
<div><h1><center><b>TubeTK</b></center></h1><br />
<br />
= PUBLIC RELEASE =<br />
<br />
TubeTK is being developed as open-source software, released under the Apache 2.0 license. It is work-in-progress.<br />
<br />
= Overview =<br />
<br />
TubeTK Overview goes here...<br />
<br />
<em>The development of TubeTK is being funded, in part, by the NIH sponsored National Alliance of Medical Image Computing (NA-MIC, http://www.na-mic.org) and the DARPA sponsored TRUST project. </em><br />
<br />
== License ==<br />
<br />
In summary, you are free to use, modify, and redistribute TubeTK for non-commercial and commercial uses. Details are provided in the header text of each file:<br />
<br />
<pre><br />
/*=========================================================================<br />
<br />
Library: TubeTK<br />
<br />
Copyright 2010 Kitware Inc. 28 Corporate Drive,<br />
Clifton Park, NY, 12065, USA.<br />
<br />
All rights reserved. <br />
<br />
Licensed under the Apache License, Version 2.0 (the "License");<br />
you may not use this file except in compliance with the License.<br />
You may obtain a copy of the License at<br />
<br />
http://www.apache.org/licenses/LICENSE-2.0<br />
<br />
Unless required by applicable law or agreed to in writing, software<br />
distributed under the License is distributed on an "AS IS" BASIS,<br />
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.<br />
See the License for the specific language governing permissions and<br />
limitations under the License.<br />
<br />
=========================================================================*/<br />
</pre><br />
<br />
== Documentation ==<br />
* [[TubeTK/Design | Design discussions]]<br />
* [[TubeTK/Build | Build instructions]]<br />
* [[TubeTK/GITCheatSheet | GIT Cheat Sheet]]<br />
<br />
== Image Gallery ==<br />
<br />
== Users ==<br />
<br />
= Applications =<br />
<br />
= Utilities =<br />
<br />
* Pre-processing<br />
** [[TubeTK/Anisotropic Hybrid Diffusion with Continuous Switch]]<br />
* Object segmentation<br />
* Tube extraction<br />
* <br />
* <br />
<br />
= Developers =<br />
* Stephen Aylward<br />
** stephen.aylward@kitware.com<br />
** 919-969-6990 (Ext 300)<br />
* Andinet Enquobaharie<br />
* Casey Goodlett<br />
* Patrick Reynolds</div>Caseygoodlett