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opencv/modules/ptcloud/misc/python/test_odometry.py
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Alexander Smorkalov fc3803c67b Merge pull request #29224 from asmorkalov:as/ptcloud2
Dedicated pointcloud module #29224

OpenCV contrib: https://github.com/opencv/opencv_contrib/pull/4134

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake
2026-06-04 12:19:02 +03:00

89 lines
3.2 KiB
Python

#!/usr/bin/env python
import numpy as np
import cv2 as cv
from tests_common import NewOpenCVTests
class odometry_test(NewOpenCVTests):
def commonOdometryTest(self, needRgb, otype, algoType, useFrame):
depth = self.get_sample('cv/rgbd/depth.png', cv.IMREAD_ANYDEPTH).astype(np.float32)
if needRgb:
rgb = self.get_sample('cv/rgbd/rgb.png', cv.IMREAD_ANYCOLOR)
radian = np.radians(1)
Rt_warp = np.array(
[[np.cos(radian), -np.sin(radian), 0],
[np.sin(radian), np.cos(radian), 0],
[0, 0, 1]], dtype=np.float32
)
Rt_curr = np.array(
[[np.cos(radian), -np.sin(radian), 0, 0],
[np.sin(radian), np.cos(radian), 0, 0],
[0, 0, 1, 0],
[0, 0, 0, 1]], dtype=np.float32
)
Rt_res = np.zeros((4, 4))
if otype is not None:
settings = cv.OdometrySettings()
odometry = cv.Odometry(otype, settings, algoType)
else:
odometry = cv.Odometry()
warped_depth = cv.warpPerspective(depth, Rt_warp, (640, 480))
if needRgb:
warped_rgb = cv.warpPerspective(rgb, Rt_warp, (640, 480))
if useFrame:
if needRgb:
srcFrame = cv.OdometryFrame(depth, rgb)
dstFrame = cv.OdometryFrame(warped_depth, warped_rgb)
else:
srcFrame = cv.OdometryFrame(depth)
dstFrame = cv.OdometryFrame(warped_depth)
odometry.prepareFrames(srcFrame, dstFrame)
isCorrect = odometry.compute(srcFrame, dstFrame, Rt_res)
else:
if needRgb:
isCorrect = odometry.compute(depth, rgb, warped_depth, warped_rgb, Rt_res)
else:
isCorrect = odometry.compute(depth, warped_depth, Rt_res)
res = np.absolute(Rt_curr - Rt_res).sum()
eps = 0.15
self.assertLessEqual(res, eps)
self.assertTrue(isCorrect)
def test_OdometryDefault(self):
self.commonOdometryTest(False, None, None, False)
def test_OdometryDefaultFrame(self):
self.commonOdometryTest(False, None, None, True)
def test_OdometryDepth(self):
self.commonOdometryTest(False, cv.OdometryType_DEPTH, cv.OdometryAlgoType_COMMON, False)
def test_OdometryDepthFast(self):
self.commonOdometryTest(False, cv.OdometryType_DEPTH, cv.OdometryAlgoType_FAST, False)
def test_OdometryDepthFrame(self):
self.commonOdometryTest(False, cv.OdometryType_DEPTH, cv.OdometryAlgoType_COMMON, True)
def test_OdometryDepthFastFrame(self):
self.commonOdometryTest(False, cv.OdometryType_DEPTH, cv.OdometryAlgoType_FAST, True)
def test_OdometryRGB(self):
self.commonOdometryTest(True, cv.OdometryType_RGB, cv.OdometryAlgoType_COMMON, False)
def test_OdometryRGBFrame(self):
self.commonOdometryTest(True, cv.OdometryType_RGB, cv.OdometryAlgoType_COMMON, True)
def test_OdometryRGB_Depth(self):
self.commonOdometryTest(True, cv.OdometryType_RGB_DEPTH, cv.OdometryAlgoType_COMMON, False)
def test_OdometryRGB_DepthFrame(self):
self.commonOdometryTest(True, cv.OdometryType_RGB_DEPTH, cv.OdometryAlgoType_COMMON, True)
if __name__ == '__main__':
NewOpenCVTests.bootstrap()