BoundingBox cpp下载

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BoundingBox BoundingBox BoundingBox BoundingBox cpp
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BoundingBox BoundingBox BoundingBox BoundingBox cpp

Pure and Simple yet Powerful Bounding Box Tool

This C library handles 2-dimensional bounding box collision detection. It is optimized to scale well from a few objects to many thousands of objects.

## Tracking with Kernelized Correlation Filters Code author : Tomas Vojir ________________ This is a C++ reimplementation of algorithm presented in "High-Speed Tracking with Kernelized Correlation Filters" paper. For more info and implementation in other languages visit the [autor's webpage!](http://home.isr.uc.pt/~henriques/circulant/). It is extended by a scale estimation (use several *7* different scales steps) and by a RGB (channels) and Color Names [2] features. Data for Color Names features were obtained from [SAMF tracker](https://github.com/ihpdep/samf). It is free for research use. If you find it useful or use it in your research, please acknowledge my git repository and cite the original paper [1]. The code depends on OpenCV 2.4+ library and is build via cmake toolchain. _________________ Quick start guide for linux: open terminal in the directory with the code $ mkdir build; cd build; cmake .. ; make This code compiles into binary **kcf_vot** ./kcf_vot - using VOT 2014 methodology (http://www.votchallenge.net/) - INPUT : expecting two files, images.txt (list of sequence images with absolute path) and region.txt with initial bounding box in the first frame in format "top_left_x, top_left_y, width, height" or four corner points listed clockwise starting from bottom left corner. - OUTPUT : output.txt containing the bounding boxes in the format "top_left_x, top_left_y, width, height" ./kcf_trax - using VOT 2014+ trax protocol (http://www.votchallenge.net/) - require [trax](https://github.com/votchallenge/trax) library to be compiled with opencv support and installed. See trax instruction for compiling and installing. ___________ Performance | | **VOT2016 - baseline EAO** | **VOT2016 - unsupervised EAO** | [**TV77**](http://cmp.felk.cvut.cz/~vojirtom/dataset/index.html) Avg. Recall | |:---------------|:--------------:|:------------------:|:----------------:| | kcf |0.1530 | 0.3859 | 51% | | skcf |0.1661 | 0.4155 | 56% | | skcf-cn |0.178 | 0.4136 | 58% | | kcf-master |**0.1994** | **0.4376** | **63%** | __________ References [1] João F. Henriques, Rui Caseiro, Pedro Martins, Jorge Batista, “High-Speed Tracking with Kernelized Correlation Filters“, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 [2] J. van de Weijer, C. Schmid, J. J. Verbeek, and D. Larlus. "Learning color names for real-world applications." TIP, 18(7):1512–1524, 2009. _____________________________________ Copyright (c) 2014, Tomáš Vojíř Permission to use, copy, modify, and distribute this software for research purposes is hereby granted, provided that the above copyright notice and this permission notice appear in all copies. THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. __________________ Additional Library NOTE: The following files are part of Piotr's Toolbox, and were modified for usage with c++ src/piotr_fhog/gradientMex.cpp src/piotr_fhog/sse.hpp src/piotr_fhog/wrappers.hpp You are encouraged to get the [full version of this library here.](http://vision.ucsd.edu/~pdollar/toolbox/doc/index.html) ______________________________________________________________________________ Copyright (c) 2012, Piotr Dollar All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. The views and conclusions contained in the software and documentation are those of the authors and should not be interpreted as representing official policies, either expressed or implied, of the FreeBSD Project.

AutoAnnotationTool：一种标签工具，旨在减少语义分割标签时间，支持矩形和多边形注释

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