fixed python test failures (modified stereo correspondence test to use cv2.* stuff), fixed docs

This commit is contained in:
Vadim Pisarevsky
2013-03-25 00:42:46 +04:00
parent 7b5923e98b
commit 44157c421f
4 changed files with 24 additions and 45 deletions

View File

@@ -14,6 +14,8 @@ import getopt
import operator
import functools
import numpy as np
import cv2
import cv2.cv as cv
from test2 import *
@@ -78,6 +80,12 @@ class OpenCVTests(unittest.TestCase):
cv.SetData(imagefiledata, filedata, len(filedata))
self.image_cache[filename] = cv.DecodeImageM(imagefiledata, iscolor)
return self.image_cache[filename]
def get_sample2(self, filename, iscolor = cv.CV_LOAD_IMAGE_COLOR):
if not filename in self.image_cache:
filedata = urllib.urlopen("https://raw.github.com/Itseez/opencv/master/" + filename).read()
self.image_cache[filename] = cv2.imdecode(np.fromstring(filedata, dtype=np.uint8), iscolor)
return self.image_cache[filename]
def setUp(self):
self.image_cache = {}
@@ -987,47 +995,14 @@ class AreaTests(OpenCVTests):
self.assertRaises(cv.error, lambda: l[tup2])
def test_stereo(self):
bm = cv.CreateStereoBMState()
def illegal_delete():
bm = cv.CreateStereoBMState()
del bm.preFilterType
def illegal_assign():
bm = cv.CreateStereoBMState()
bm.preFilterType = "foo"
self.assertRaises(TypeError, illegal_delete)
self.assertRaises(TypeError, illegal_assign)
left = self.get_sample("samples/c/lena.jpg", 0)
right = self.get_sample("samples/c/lena.jpg", 0)
disparity = cv.CreateMat(512, 512, cv.CV_16SC1)
cv.FindStereoCorrespondenceBM(left, right, disparity, bm)
gc = cv.CreateStereoGCState(16, 2)
left_disparity = cv.CreateMat(512, 512, cv.CV_16SC1)
right_disparity = cv.CreateMat(512, 512, cv.CV_16SC1)
def test_stereo(self):
bm = cv.CreateStereoBMState()
def illegal_delete():
bm = cv.CreateStereoBMState()
del bm.preFilterType
def illegal_assign():
bm = cv.CreateStereoBMState()
bm.preFilterType = "foo"
self.assertRaises(TypeError, illegal_delete)
self.assertRaises(TypeError, illegal_assign)
left = self.get_sample("samples/c/lena.jpg", 0)
right = self.get_sample("samples/c/lena.jpg", 0)
disparity = cv.CreateMat(512, 512, cv.CV_16SC1)
cv.FindStereoCorrespondenceBM(left, right, disparity, bm)
gc = cv.CreateStereoGCState(16, 2)
left_disparity = cv.CreateMat(512, 512, cv.CV_16SC1)
right_disparity = cv.CreateMat(512, 512, cv.CV_16SC1)
cv.FindStereoCorrespondenceGC(left, right, left_disparity, right_disparity, gc)
left = self.get_sample2("samples/cpp/tsukuba_l.png", 0)
right = self.get_sample2("samples/cpp/tsukuba_r.png", 0)
bm = cv2.createStereoBM(32, 11)
disparity = bm.compute(left, right)
self.assertEqual(left.shape, disparity.shape)
sgbm = cv2.createStereoSGBM(0, 32, 5)
disparity2 = sgbm.compute(left, right)
self.assertEqual(left.shape, disparity2.shape)
def test_kalman(self):
k = cv.CreateKalman(2, 1, 0)