|
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 | |