|
| enum | cv::datasets::actionType {
cv::datasets::circle = 1,
cv::datasets::triangle,
cv::datasets::updown,
cv::datasets::rightleft,
cv::datasets::wave,
cv::datasets::z,
cv::datasets::cross,
cv::datasets::comehere,
cv::datasets::turnaround,
cv::datasets::pat
} |
| |
| enum | cv::datasets::backgroundType {
cv::datasets::woodenBoard = 1,
cv::datasets::whitePaper,
cv::datasets::paperWithCharacters
} |
| |
| enum | cv::datasets::illuminationType {
cv::datasets::light = 1,
cv::datasets::dark
} |
| |
| enum | cv::datasets::poseType {
cv::datasets::fist = 1,
cv::datasets::index,
cv::datasets::flat
} |
| |
ChaLearn Looking at People
Implements loading dataset:
"ChaLearn Looking at People": http://gesture.chalearn.org/
Usage
- Follow instruction from site above, download files for dataset "Track 3: Gesture Recognition":
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).
- Unpack train archives
Train1.zip-Train5.zip to folder Train/, validation archives Validation1.zip-Validation3.zip to folder Validation/
- Unpack all archives in
Train/ & Validation/ in the folders with the same names, for example: Sample0001.zip to Sample0001/
- To load data run:
./opencv/build/bin/example_datasets_gr_chalearn -p=/home/user/path_to_unpacked_folders/
Sheffield Kinect Gesture Dataset
Implements loading dataset:
"Sheffield Kinect Gesture Dataset": http://lshao.staff.shef.ac.uk/data/SheffieldKinectGesture.htm
Usage:
- From link above download dataset files:
subject1_dep.7z-subject6_dep.7z, subject1_rgb.7z-subject6_rgb.7z.
- Unpack them.
- To load data run:
./opencv/build/bin/example_datasets_gr_skig -p=/home/user/path_to_unpacked_folders/
§ actionType
| Enumerator |
|---|
| circle Python: cv.datasets.circle | |
| triangle Python: cv.datasets.triangle | |
| updown Python: cv.datasets.updown | |
| rightleft Python: cv.datasets.rightleft | |
| wave Python: cv.datasets.wave | |
| z Python: cv.datasets.z | |
| cross Python: cv.datasets.cross | |
| comehere Python: cv.datasets.comehere | |
| turnaround Python: cv.datasets.turnaround | |
| pat Python: cv.datasets.pat | |
§ backgroundType
| Enumerator |
|---|
| woodenBoard Python: cv.datasets.woodenBoard | |
| whitePaper Python: cv.datasets.whitePaper | |
| paperWithCharacters Python: cv.datasets.paperWithCharacters | |
§ illuminationType
| Enumerator |
|---|
| light Python: cv.datasets.light | |
| dark Python: cv.datasets.dark | |
§ poseType
| Enumerator |
|---|
| fist Python: cv.datasets.fist | |
| index Python: cv.datasets.index | |
| flat Python: cv.datasets.flat | |