Research any topic before you write.

Find related topics.Discover entities.See connections.Build a topical map.

OpenCV

OpenCV je svobodná a otevřená multiplatformní knihovna pro manipulaci s obrazem. Je zaměřena především na počítačové vidění a zpracování obrazu v reálném čase. Původně ji vyvíjela společnost Intel. Dokáže se zrychlit spoluprací s knihovnou Integrated Performance Primitives (Intel IPP). Knihovnu je možné využít z prostředí jazyků C, C++ a s generátorem…

[CS, Czech, Čeština]

Možnosti OpenCV & Overview

Interactive map loads when it comes into view.
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around OpenCV. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Aktuální verze
5.0.0 (6. června 2026)
Licence
BSD (nová, trojbodová) do verze 4.4.0 Licence Apache 2 od verze 4.5.0
Operační systém
multiplatformní
První vydání
červen 2000
Typ softwaru
knihovna pro práci s obrazem
Vyvíjeno v
C++

Topics to explore

A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

Možnosti OpenCV

Externí odkazy

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

Map overview Semantic statistics

Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.

OpenCV

Nodes23
Edges22
Triples12
Avg. degree1.91
Density0.086957
Components1

How this topic connects Entity context

Quick relationship hints grouped by predicate. Useful for spotting recurring semantic connections around the current entity.

See the strongest relationship patterns around the current topic before diving into the raw triples.

OpenCV

Top relations

related to Externí odkazy · 4
OpenCV → Archivováno, Obrázky, Wayback Machine, Wikimedia Commonshttp
Aktuální verze · 1
OpenCV → 5.0.0 (6. června 2026)
Licence · 1
OpenCV → BSD (nová, trojbodová) do verze 4.4.0 Licence Apache 2 od verze 4.5.0
Operační systém · 1
OpenCV → multiplatformní
První vydání · 1
OpenCV → červen 2000
Typ softwaru · 1
OpenCV → knihovna pro práci s obrazem
Vyvíjeno v · 1
OpenCV → C++
Vývojář · 1
OpenCV → Willow Garage (autorem Intel)
Web · 1
OpenCV → opencv.org

Important terminology Word statistics

Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

intel multiplatformní detekce obličeje knihovna org obrazem zpracování obrazu automatická verze datové položky archivováno svobodná otevřená swig python octave http

Entity relationships Subject–Predicate–Object triples

Extracted RDF-like relationships with confidence and source. The table includes structured facts and lower-confidence contextual relations.
SubjectPredicateObjectConfidenceSrc
OpenCVAktuální verze5.0.0 (6. června 2026)1.00infobox
OpenCVLicenceBSD (nová, trojbodová) do verze 4.4.0 Licence Apache 2 od verze 4.5.01.00infobox
OpenCVOperační systémmultiplatformní1.00infobox
OpenCVPrvní vydáníčerven 20001.00infobox
OpenCVTyp softwaruknihovna pro práci s obrazem1.00infobox
OpenCVVyvíjeno vC++1.00infobox
OpenCVVývojářWillow Garage (autorem Intel)1.00infobox
OpenCVWebopencv.org1.00infobox
OpenCVrelated to Externí odkazyObrázky0.60section
OpenCVrelated to Externí odkazyWikimedia Commonshttp0.60section
OpenCVrelated to Externí odkazyArchivováno0.60section
OpenCVrelated to Externí odkazyWayback Machine0.60section

Related concept clusters Concept neighborhoods

Clusters of nearby vocabulary surrounding the topic. Scan them for adjacent concepts and language you may have missed.

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridge nodes connect otherwise separate parts of the map. Expand a row to inspect the topic groups on each side.

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.