SEDA: Simultaneous Environment Discovery And Annotation

Ann Arbor, MI

Pinned Repositories

S-E-D-A.github.io
The project web page for SEDA: Simultaneous Environment Discovery & Annotation
Language:CSS00
SEDA-AR-TextAnnotation
We leverage an open-source algorithm, PTAM, to generate markerless augmented reality graphics that appears to be part of the user's environment. The graphics aid the user in understanding his/her environment.
Language:C++4 4 311
SEDA-AR-TextAnnotation-vagrant-config
Language:Shell0 2 20
SEDA-CV-TextDetection
Language:C++0 5 355
SEDA-CV-TextDetection-vagrant-config
Language:Shell00
SEDA-ML-Summarization
Here we explore and build an unsupervised deep belief network with the goal of becoming a commercially viable extractive text summarization tool.
Language:Python8 7 388
SEDA-ML-Summarization-vagrant-config
The vagrant configuration for the SEDA-ML-Summarization component.
Language:Shell1 8 10

S-E-D-A/SEDA-ML-Summarization
Here we explore and build an unsupervised deep belief network with the goal of becoming a commercially viable extractive text summarization tool.
Language:Python8 7 388
S-E-D-A/SEDA-AR-TextAnnotation
We leverage an open-source algorithm, PTAM, to generate markerless augmented reality graphics that appears to be part of the user's environment. The graphics aid the user in understanding his/her environment.
Language:C++4 4 311
S-E-D-A/SEDA-ML-Summarization-vagrant-config
The vagrant configuration for the SEDA-ML-Summarization component.
Language:Shell1 8 10
S-E-D-A/S-E-D-A.github.io
The project web page for SEDA: Simultaneous Environment Discovery & Annotation
Language:CSS00
S-E-D-A/SEDA-AR-TextAnnotation-vagrant-config
Language:Shell0 2 20
S-E-D-A/SEDA-CV-TextDetection
Language:C++0 5 355
S-E-D-A/SEDA-CV-TextDetection-vagrant-config
Language:Shell00