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OpenCV
3.4.12
Open Source Computer Vision
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Classes | |
class | cv::datasets::TRACK_alov |
struct | cv::datasets::TRACK_alovObj |
class | cv::datasets::TRACK_vot |
struct | cv::datasets::TRACK_votObj |
Variables | |
const string | cv::datasets::sectionNames [] |
const int | cv::datasets::sectionSizes [] = { 33, 15, 18, 20, 24, 22, 12, 15, 37, 23, 34, 22, 29, 10 } |
Implements loading dataset:
"VOT 2015 dataset comprises 60 short sequences showing various objects in challenging backgrounds. The sequences were chosen from a large pool of sequences including the ALOV dataset, OTB2 dataset, non-tracking datasets, Computer Vision Online, Professor Bob Fisher's Image Database, Videezy, Center for Research in Computer Vision, University of Central Florida, USA, NYU Center for Genomics and Systems Biology, Data Wrangling, Open Access Directory and Learning and Recognition in Vision Group, INRIA, France. The VOT sequence selection protocol was applied to obtain a representative set of challenging sequences.": http://box.vicos.si/vot/vot2015.zip
Usage:
vot2015.zip
vot2015.zip
into folder: VOT2015/
const string cv::datasets::sectionNames[] |
#include <opencv2/datasets/track_alov.hpp>
const int cv::datasets::sectionSizes[] = { 33, 15, 18, 20, 24, 22, 12, 15, 37, 23, 34, 22, 29, 10 } |
#include <opencv2/datasets/track_alov.hpp>