Search Results for "semantic"

Habitat-Sim is a high-performance 3D simulator for embodied AI research, designed to run photorealistic indoor environments at thousands of frames per second. It offers GPU-accelerated rendering and a flexible sensor suite—RGB, depth, semantic segmentation, and more—so agents can perceive and act in realistic scenes. The engine is written in C++ with Python bindings and integrates physics, navigation meshes, and shortest-path planners to support tasks like point-goal navigation, rearrangement, and interactive manipulation. It ships with connectors to popular datasets and scene formats, plus tools for dataset generation and scene replay. ...

A set of tools (command line and GUI) to provide a complete digital photo workflow for Unixes. EXIF headers are used as the central information repository, so users may change their software at any time without loosing any data.

...It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on images such as edge detection and color clustering have also been added. GIMP-ML relies on standard Python packages such as numpy, scikit-image, pillow, pytorch, open-cv, scipy. ...

...Each environment includes fully labeled 3D objects, allowing agents to perceive and interact with their surroundings through multiple sensory modalities including RGB images, depth maps, semantic segmentation masks, and top-down maps. The simulator is optimized for high-performance rendering, achieving thousands of frames per second to enable efficient large-scale training of RL agents. House3D has served as the foundation for several influential research projects such as RoomNav (for concept-based navigation) and Embodied Question Answering (EQA).

We present an approach to generate a 3D model of a building including semantic annotations from image series. In the recent years semantic based modeling, reconstruction of buildings and building recognition became more and more important. Semantic building models have more information than just the geometry, thus making them more suitable for recognition or simulation tasks. The time consuming generation of such models and annotations makes an automatism desirable. ...

A mediawiki extension supplying a set of parser functions to generate and display graphviz, freemind and hypergraph graphs from the content of a semantic mediawiki, and parsing an uploaded freemind file.

The ShapeAnnotator is an interactive GUI for the inspection, segmentation and semantic annotation of 3D surface meshes.

A set of libraries which includes: - Time schedule library - HTTP communication library - Generic parser library - Image processing library

Photron is a tool based on semantic web technology for organizing image collections.

The main goal of OntoMedia is the management of large multimedia collections using semantic integration techniques for metadata by applying state-of-the-art ontology driven Semantic Web technology to the multimedia domain.