https://github.com/janspiry/multivariate_normal
Scipy.stats.multivariate_normal.pdf() implementation by C++ with OpenCV.
https://github.com/janspiry/multivariate_normal
cpp gaussian multivariatenormal opencv
Last synced: 3 months ago
JSON representation
Scipy.stats.multivariate_normal.pdf() implementation by C++ with OpenCV.
- Host: GitHub
- URL: https://github.com/janspiry/multivariate_normal
- Owner: Janspiry
- Created: 2021-07-23T03:30:33.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2021-07-23T03:39:43.000Z (almost 4 years ago)
- Last Synced: 2025-01-23T09:42:02.424Z (5 months ago)
- Topics: cpp, gaussian, multivariatenormal, opencv
- Language: C++
- Homepage:
- Size: 2.93 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
#### Brief
This is a multivariate-normal density probability function implementation by OpenCV, which can achieve the same result like **scipy.stats.multivariate_normal.pdf()** in Python.
#### Usage
```c++
MultiVariateGaussian MVG;
cv::Mat train_data(10, 3, CV_32FC1);
cv::Mat val_data(5, 3, CV_32FC1);
// random data
cv::RNG rnger(cv::getTickCount());
rnger.fill(train_data, cv::RNG::UNIFORM, cv::Scalar::all(0), cv::Scalar::all(255));
rnger.fill(val_data, cv::RNG::UNIFORM, cv::Scalar::all(0), cv::Scalar::all(255));
// estimate gaussian
MVG.estimate_gaussian(train_data);
cv::Mat val_data_prob = MVG.multivariate_gaussian(val_data);
```
#### Output Example
```
data: [31.365021, 238.91919, 29.257645] dense probability: [8.242923853648458e-09]
data: [232.97113, 57.590729, 203.72713] dense probability: [3.033565617629424e-08]
data: [98.62838, 212.40479, 241.48314] dense probability: [4.517634241939982e-08]
data: [103.37743, 58.68898, 96.820831] dense probability: [2.001677126583222e-08]
data: [151.7095, 151.72896, 250.50418] dense probability: [3.933165200360655e-08]
```