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IDS peak ICV v1.0.0
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Topics | |
| Library | |
| General utility functions for managing the library runtime. | |
| Algorithms | |
| Algorithms. | |
| Painting | |
| Functions for painting on an image. | |
| Selectors | |
| A Selector is a utility to filter a subset of objects from a given set of objects. The Selector's "select" functions will always return a new Object of type Selector. This is useful for chaining selections. In order to retrieve the selected subset of objects from a selector, there is always a function for accessing the currently selected objects. E.g.: peak::icv::experimental::RegionSelector::GetRegions. | |
| Exceptions | |
| Exceptions. | |
| IO | |
| Writer and Reader. | |
| Filter | |
| Image filters. | |
| Types | |
| Simple types. | |
| Serialization | |
| Serialization is the process of converting a data structure or object state into a format that can be stored in a file or some other storage location. The goal is to enable data to be saved so it can be deserialized back into the original data structure. | |
| Image Pipeline | |
| Comprehensive image processing pipeline system for real-time image transformation and enhancement. | |
The library requires the use of at least C++14 for the client application.
You also need to have the IDS peak IPL libraries and their headers.
In order to use IDS peak ICV you need to include the interface header file peak_icv/peak_icv.hpp and link your application with the ids_peak_icv and the ids_peak_ipl library.
In order to run an application, the shared libraries must be found by the system.
LD_LIBRARY_PATH.