石鑫华视觉
宝视纳Basler-blaze pylon补充软件包1.5.0 - Windows版~pylon_Supplementary_Package_for_blaze_1.5.0.exe
pylon Supplementary Package for ToF Camera / blaze 1.5.0
2023年9月
1.5.0
Compatible with: pylon 6.2.0, 6.3.0, 7.0.0, 7.2.1, 7.3.0, 7.4.0
在此处下载blaze pylon补充软件包，轻松设置和配置Basler blaze 3D相机。这个软件包包含blaze Viewer，以作为配置和可视化工具。
安装要求
blaze pylon补充软件包需要安装pylon相机软件套装6.2.0或更高版本。
blaze pylon补充软件包1.5.0 - Windows版
文件名: pylon_Supplementary_Package_for_blaze_1.5.0.exe
文件大小: 64214128 字节 (61.24 MB)
修改日期: 2024-03-12 22:14
版本: 1.5.0.0
MD5: 78b5aca688d89e8a8472886abeefbd0b
SHA1: fbf6d79b3652bc221834b789a28a07210547682c
SHA256: 5094e0feb759e3f0918d1d9e02d4828894fa18893ad47bda2806e0384412a0c1
CRC32: 0338e56f
Basler官方下载和百度网盘下载：
宝视纳Basler-blaze pylon补充软件包1.5.0 - Windows版~pylon_Supplementary_Package_for_blaze_1.5.0.exe
http://visionbbs.com/thread-32780-1-1.html
(出处: 石鑫华视觉论坛)
RELEASE NOTES
==============
pylon Supplementary Package for blaze
Version: 1.5.0
Release date: 2023-09-30
Preceding release: 1.3.1
Products affected: blaze-101 (order number 107796), revisions 03 or above
blaze-102 (order number 108711)
NEW FEATURES
------------
* Added support for new camera features introduced by blaze firmware version
5.0.0.
* The GenTL producer for blaze cameras is compliant with the GenTL standard
version 1.6.
* Added the MultiCam/DepthFusion C++ programming sample illustrating how to
calibrate a system consisting of multiple Basler blaze cameras.
* Added the ColorAndDepth_SynchronousFreeRun Python programming sample
illustrating how the PTP and the Synchronous Free Run features help you to
capture data from a 2D and a blaze camera.
* The installation packages for Linux ARM include Python samples as
the Harvester's Python module, which is used for accessing blaze cameras,
recently became available for Linux ARM.
* Added C++ programming samples illustrating how to use the Aravis open source
library for accessing blaze cameras.
* The GenTL producer for blaze cameras provides the additional 'newestOnly'
and 'oldestFirstOverwrite' buffer handling modes.
CHANGES
--------
* Increased performance of the ShowPointCloud Python programming sample.
* Fixed bugs and increased performance of the ColorAndDepthFusion Python
programming sample.
* Fixed an issue causing the ROS node for blaze cameras to crash when receiving
a kill signal.
* Fixed an issue preventing the blaze Viewer to run on CPUs without AVX support,
like some Intel Celeron CPUs.
* Fixed an issue causing the blaze Viewer's File Save dialog to crash on some
Ubuntu setups.
* Fixed an issue causing a connection loss when issuing a PtpDataSetLatch
command.
* Fixed font size-related issues of the blaze Viewer on systems with high
resolution displays.
* Fixed an issue causing the blaze Viewer to save corrupted 16-bit .tiff images.
* Fixed an issue preventing web browsers installed as snap packages from opening
the blaze Programmer's Guide. This was the case for Mozilla Firefox on Ubuntu
22.04, for example.
KNOWN LIMITATIONS
------------------
Windows, pylon versions below pylon 7.2.1:
- If the Extended IDs feature is enabled, acquiring images is not possible.
Either disable extended IDs or select the socket driver as stream grabber
type. How to configure the stream grabber type:
blaze Viewer: Data Stream -> Extended Stream Control -> Type of Stream Grabber
C++: camera.GetStreamGrabberParams().Type.SetValue(Type_SocketDriver);
C#: camera.Parameters[PLStream.Type].SetValue(PLStream.Type.SocketDriver);
- Basler generally recommends using pylon 7.3 or above with blaze cameras.
Linux
- Programming samples using the Point Cloud Library (PCL) may crash depending
on the versions of the PCL and VTK libraries installed on your system. The
crash is due to a bug in the VTK libraries that are used by PCL for 3D
visualization.
Source: https://github.com/PointCloudLibrary/pcl/issues/5237
For example, Ubuntu 22.04 ships versions of the libraries showing the problem.
Solution: PCL 1.13.1 contains fixes to work around the VTK bug. Uninstall the
PCL libraries provided by your Linux distribution and build PCL version 1.13.1
or newer from sources (these are available on
https://github.com/PointCloudLibrary/pcl).