f4334277
 Hu Chunming
提交3rdparty
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#!/usr/bin/env python
# Python 2/3 compatibility
from __future__ import print_function
import numpy as np
import cv2 as cv
from tests_common import NewOpenCVTests
class solvepnp_test(NewOpenCVTests):
def test_regression_16040(self):
obj_points = np.array([[0, 0, 0], [0, 1, 0], [1, 1, 0], [1, 0, 0]], dtype=np.float32)
img_points = np.array(
[[700, 400], [700, 600], [900, 600], [900, 400]], dtype=np.float32
)
cameraMatrix = np.array(
[[712.0634, 0, 800], [0, 712.540, 500], [0, 0, 1]], dtype=np.float32
)
distCoeffs = np.array([[0, 0, 0, 0]], dtype=np.float32)
r = np.array([], dtype=np.float32)
x, r, t, e = cv.solvePnPGeneric(
obj_points, img_points, cameraMatrix, distCoeffs, reprojectionError=r
)
def test_regression_16040_2(self):
obj_points = np.array([[0, 0, 0], [0, 1, 0], [1, 1, 0], [1, 0, 0]], dtype=np.float32)
img_points = np.array(
[[[700, 400], [700, 600], [900, 600], [900, 400]]], dtype=np.float32
)
cameraMatrix = np.array(
[[712.0634, 0, 800], [0, 712.540, 500], [0, 0, 1]], dtype=np.float32
)
distCoeffs = np.array([[0, 0, 0, 0]], dtype=np.float32)
r = np.array([], dtype=np.float32)
x, r, t, e = cv.solvePnPGeneric(
obj_points, img_points, cameraMatrix, distCoeffs, reprojectionError=r
)
def test_regression_16049(self):
obj_points = np.array([[0, 0, 0], [0, 1, 0], [1, 1, 0], [1, 0, 0]], dtype=np.float32)
img_points = np.array(
[[[700, 400], [700, 600], [900, 600], [900, 400]]], dtype=np.float32
)
cameraMatrix = np.array(
[[712.0634, 0, 800], [0, 712.540, 500], [0, 0, 1]], dtype=np.float32
)
distCoeffs = np.array([[0, 0, 0, 0]], dtype=np.float32)
x, r, t, e = cv.solvePnPGeneric(
obj_points, img_points, cameraMatrix, distCoeffs
)
if e is None:
# noArray() is supported, see https://github.com/opencv/opencv/issues/16049
pass
else:
eDump = cv.utils.dumpInputArray(e)
self.assertEqual(eDump, "InputArray: empty()=false kind=0x00010000 flags=0x01010000 total(-1)=1 dims(-1)=2 size(-1)=1x1 type(-1)=CV_32FC1")
if __name__ == '__main__':
NewOpenCVTests.bootstrap()
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