Start developing vision applications on your Mac. #Develop vision app #Vision app development #Vision library #Develop #Development #Vision
Integrating Vision Toolkit (IVT) is an easy-to-use, platform-independent open source C++ computer vision library with an object-oriented architecture, fully implemented according to the ANSI standard.
IVT offers a general camera model and a clean camera interface, as well as many efficient implementations of image processing routines and mathematic data structures and functions. Qt is integrated optionally for GUI purposes.
The IVT implements all functionality within a clean object-oriented architecture with no dependencies. Its intuitive API makes the IVT easy-to-use and easy-to-understand. The source code is not only efficient but also features a good readability, which makes the IVT also a valuable source for educational purposes.
The IVT offers a clean camera interface, with many ready-to-use camera modules implementing this interface (PointGrey Dragonfly/BumbleBee, Videre, other DCAM compatible IEEE1394 cameras such as the iSight, USB webcams, etc.) for any common platform (Mac OS X, Windows, Linux). A fully integrated general camera model allows the development of computer vision applications independently from the imaging device.
What's new in Integrating Vision Toolkit 1.3.22:
- Changes:
- IVT/src/Image/ByteImage.cpp:
- In CByteImage::SaveToFile(...) initialized padding bytes so that valgrind will not print out "uninitialized bytes". This was not a bug, as the padding bytes are not used and do not have to contain valid data.
Integrating Vision Toolkit 1.3.22
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- Mac OS X (PPC & Intel)
- file size:
- 10.3 MB
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- Microsoft Teams
- Bitdefender Antivirus Free
- Zoom Client
- Windows Sandbox Launcher
- 7-Zip
- ShareX
- 4k Video Downloader
- calibre
- paint.net