Kornia_moons
================
<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
## Install
`pip install kornia_moons`
## How to use
Here is an example how to use kornia-moons for local feature conversion
from OpenCV ORB keypoints
``` python
import matplotlib.pyplot as plt
import cv2
import torch
import kornia as K
from typing import List
import matplotlib.pyplot as plt
from kornia_moons.feature import laf_from_opencv_ORB_kpts, opencv_ORB_kpts_from_laf
from kornia_moons.viz import visualize_LAF
img = cv2.cvtColor(cv2.imread('data/strahov.png'), cv2.COLOR_BGR2RGB)
det = cv2.ORB_create(500)
kps, descs = det.detectAndCompute(img, None)
out_img = cv2.drawKeypoints(img, kps, None, flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
plt.imshow(out_img)
lafs = laf_from_opencv_ORB_kpts(kps)
visualize_LAF(K.image_to_tensor(img, False), lafs, 0)
kps_back = opencv_ORB_kpts_from_laf(lafs)
out_img2 = cv2.drawKeypoints(img, kps_back, None, flags=cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
plt.imshow(out_img2)
```
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<matplotlib.image.AxesImage>
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