OpenCV
3.4.13
Open Source Computer Vision
|
Classes | |
class | cv::datasets::GR_chalearn |
struct | cv::datasets::GR_chalearnObj |
class | cv::datasets::GR_skig |
struct | cv::datasets::GR_skigObj |
struct | cv::datasets::groundTruth |
struct | cv::datasets::join |
struct | cv::datasets::skeleton |
Implements loading dataset:
"ChaLearn Looking at People": http://gesture.chalearn.org/
Usage
Train1.zip
-Train5.zip
, Validation1.zip
-Validation3.zip
(Register on site: www.codalab.org and accept the terms and conditions of competition: https://www.codalab.org/competitions/991#learn_the_details There are three mirrors for downloading dataset files. When I downloaded data only mirror: "Universitat Oberta de Catalunya" works).Train1.zip
-Train5.zip
to folder Train/
, validation archives Validation1.zip
-Validation3.zip
to folder Validation/
Train/
& Validation/
in the folders with the same names, for example: Sample0001.zip
to Sample0001/
Implements loading dataset:
"Sheffield Kinect Gesture Dataset": http://lshao.staff.shef.ac.uk/data/SheffieldKinectGesture.htm
Usage:
subject1_dep.7z
-subject6_dep.7z
, subject1_rgb.7z
-subject6_rgb.7z
.#include <opencv2/datasets/gr_skig.hpp>
#include <opencv2/datasets/gr_skig.hpp>
Enumerator | |
---|---|
woodenBoard Python: cv.datasets.woodenBoard | |
whitePaper Python: cv.datasets.whitePaper | |
paperWithCharacters Python: cv.datasets.paperWithCharacters |
#include <opencv2/datasets/gr_skig.hpp>
Enumerator | |
---|---|
light Python: cv.datasets.light | |
dark Python: cv.datasets.dark |
#include <opencv2/datasets/gr_skig.hpp>
Enumerator | |
---|---|
fist Python: cv.datasets.fist | |
index Python: cv.datasets.index | |
flat Python: cv.datasets.flat |