Source Code in Python of the Coarse-to-Fine Approach for Fast Deformable Object Detection: we present a method that dramatically accelerates object detection with part based models. Ubuntu. Python

Translated title of the contribution: Source Code in Python of the Coarse-to-Fine Approach for Fast Deformable Object Detection: we present a method that dramatically accelerates object detection with part based models.: Ubuntu. Python

Pedersoli Marco, Vedaldi Andrea, Gonzàlez Jordi

Research output: Non-textual formSoftwareResearch

Abstract

We release a multiple-resolutions hierarchical part based model and a corresponding coarse-to-fine inference procedure that recursively eliminates from the search space unpromising part placements. The method yields a ten-fold speed-up over the standard dynamic programming approach. http://iselab.cvc.uab.es/ctf_cvpr2011/CtFdet.tar.gz
Translated title of the contributionSource Code in Python of the Coarse-to-Fine Approach for Fast Deformable Object Detection: we present a method that dramatically accelerates object detection with part based models.: Ubuntu. Python
Original languageUndefined/Unknown
Publication statusPublished - 30 Jun 2011

Fingerprint Dive into the research topics of 'Source Code in Python of the Coarse-to-Fine Approach for Fast Deformable Object Detection: we present a method that dramatically accelerates object detection with part based models. Ubuntu. Python'. Together they form a unique fingerprint.

  • Cite this