updated tests to be shorter and OO. Deleted unnecessary data files.

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sccolbert committed 2009-10-12 11:14:15 +02:00
1 parent 3205bb1f06
commit 2e87575625
15 files changed
+56 -134

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@@ -9,144 +9,66 @@ try:
except:
OPENCV_LIBS_NOTFOUND = True
@dec.skipif(OPENCV_LIBS_NOTFOUND, 'Skipping OpenCV test because OpenCV libs were not found')
def test_cvSobel():
lena_RGB_U8 = np.load('data/lena_RGB_U8.npy')
lena_GRAY_U8 = np.load('data/lena_GRAY_U8.npy')
lena_SOBEL_INT16 = np.load('data/lena_SOBEL_INT16.npy')
sobel = cvSobel(lena_GRAY_U8)
assert_array_equal(sobel, lena_SOBEL_INT16)
assert_raises(Exception, cvSobel, lena_RGB_U8)
assert_raises(Exception, cvSobel, (lena_GRAY_U8, lena_GRAY_U8))
assert_raises(Exception, cvSobel, lena_GRAY_U8, {'aperture_size':1})
assert_raises(Exception, cvSobel, lena_GRAY_U8, {'aperture_size':2})
assert_raises(Exception, cvSobel, lena_GRAY_U8, {'aperture_size':4})
assert_raises(Exception, cvSobel, lena_GRAY_U8, {'aperture_size':6})
assert_raises(Exception, cvSobel, lena_GRAY_U8, {'aperture_size':8})
# any need to keep going? only valid apertures are 3, 5, and 7
# and testing the validity would require saving new images for each one
_opencv_skip = dec.skipif(OPENCV_LIBS_NOTFOUND,
'Skipping OpenCV test because OpenCV'
'libs were not found')
@dec.skipif(OPENCV_LIBS_NOTFOUND, 'Skipping OpenCV test because OpenCV libs were not found')
def test_cvLaplace():
lena_RGB_U8 = np.load('data/lena_RGB_U8.npy')
lena_GRAY_U8 = np.load('data/lena_GRAY_U8.npy')
lena_LAPLACE_INT16 = np.load('data/lena_LAPLACE_INT16.npy')
laplace = cvLaplace(lena_GRAY_U8)
assert_array_equal(laplace, lena_LAPLACE_INT16)
assert_raises(Exception, cvLaplace, lena_RGB_U8)
assert_raises(Exception, cvLaplace, (lena_GRAY_U8, lena_GRAY_U8))
assert_raises(Exception, cvLaplace, lena_GRAY_U8, {'aperture_size':1})
assert_raises(Exception, cvLaplace, lena_GRAY_U8, {'aperture_size':2})
assert_raises(Exception, cvLaplace, lena_GRAY_U8, {'aperture_size':4})
assert_raises(Exception, cvLaplace, lena_GRAY_U8, {'aperture_size':6})
assert_raises(Exception, cvLaplace, lena_GRAY_U8, {'aperture_size':8})
# any need to keep going? only valid apertures are 3, 5, and 7
# and testing the validity would require saving new images for each one
class OpenCVTest:
# setup only works as a module level function
def __init__(self):
self.lena_RGB_U8 = np.load('data/lena_RGB_U8.npy')
self.lena_GRAY_U8 = np.load('data/lena_GRAY_U8.npy')
@dec.skipif(OPENCV_LIBS_NOTFOUND, 'Skipping OpenCV test because OpenCV libs were not found')
def test_cvCanny():
lena_RGB_U8 = np.load('data/lena_RGB_U8.npy')
lena_GRAY_U8 = np.load('data/lena_GRAY_U8.npy')
lena_CANNY_U8 = np.load('data/lena_CANNY_U8.npy')
canny = cvCanny(lena_GRAY_U8)
assert_array_equal(canny, lena_CANNY_U8)
assert_raises(Exception, cvCanny, lena_RGB_U8)
assert_raises(Exception, cvCanny, (lena_GRAY_U8, lena_GRAY_U8))
assert_raises(Exception, cvCanny, lena_GRAY_U8, {'aperture_size':1})
assert_raises(Exception, cvCanny, lena_GRAY_U8, {'aperture_size':2})
assert_raises(Exception, cvCanny, lena_GRAY_U8, {'aperture_size':4})
assert_raises(Exception, cvCanny, lena_GRAY_U8, {'aperture_size':6})
assert_raises(Exception, cvCanny, lena_GRAY_U8, {'aperture_size':8})
# any need to keep going? only valid apertures are 3, 5, and 7
# and testing the validity would require saving new images for each one
@dec.skipif(OPENCV_LIBS_NOTFOUND, 'Skipping OpenCV test because OpenCV libs were not found')
def test_cvPreCornerDetect():
lena_RGB_U8 = np.load('data/lena_RGB_U8.npy')
lena_GRAY_U8 = np.load('data/lena_GRAY_U8.npy')
lena_GRAY_FLOAT32 = np.load('data/lena_GRAY_FLOAT32.npy')
lena_PRECORNERDETECT_U8 = np.load('data/lena_PRECORNERDETECT_U8.npy')
lena_PRECORNERDETECT_FLOAT32 = np.load('data/lena_PRECORNERDETECT_FLOAT32.npy')
pcd8 = cvPreCornerDetect(lena_GRAY_U8)
pcd32 = cvPreCornerDetect(lena_GRAY_FLOAT32)
assert_array_almost_equal(pcd8, lena_PRECORNERDETECT_U8)
assert_array_almost_equal(pcd32, lena_PRECORNERDETECT_FLOAT32)
assert_raises(Exception, cvPreCornerDetect, lena_RGB_U8)
assert_raises(Exception, cvPreCornerDetect, (lena_GRAY_U8, lena_GRAY_U8))
assert_raises(Exception, cvPreCornerDetect, (lena_GRAY_U8, lena_PRECORNERDETECT_U8))
assert_raises(Exception, cvPreCornerDetect, lena_GRAY_U8, {'aperture_size':1})
assert_raises(Exception, cvPreCornerDetect, lena_GRAY_U8, {'aperture_size':2})
assert_raises(Exception, cvPreCornerDetect, lena_GRAY_U8, {'aperture_size':4})
assert_raises(Exception, cvPreCornerDetect, lena_GRAY_U8, {'aperture_size':6})
assert_raises(Exception, cvPreCornerDetect, lena_GRAY_U8, {'aperture_size':8})
@dec.skipif(OPENCV_LIBS_NOTFOUND, 'Skipping OpenCV test because OpenCV libs were not found')
def test_cvCornerEigenValsAndVecs():
lena_RGB_U8 = np.load('data/lena_RGB_U8.npy')
lena_GRAY_U8 = np.load('data/lena_GRAY_U8.npy')
lena_GRAY_FLOAT32 = np.load('data/lena_GRAY_FLOAT32.npy')
lena_CEVAV_U8 = np.load('data/lena_CEVAV_U8.npy')
lena_CEVAV_FLOAT32 = np.load('data/lena_CEVAV_FLOAT32.npy')
cevav8 = cvCornerEigenValsAndVecs(lena_GRAY_U8)
cevav32 = cvCornerEigenValsAndVecs(lena_GRAY_FLOAT32)
assert_array_almost_equal(cevav8, lena_CEVAV_U8)
assert_array_almost_equal(cevav32, lena_CEVAV_FLOAT32)
assert_raises(Exception, cvCornerEigenValsAndVecs, lena_RGB_U8)
assert_raises(Exception, cvCornerEigenValsAndVecs, lena_GRAY_U8, {'aperture_size':1})
assert_raises(Exception, cvCornerEigenValsAndVecs, lena_GRAY_U8, {'aperture_size':2})
assert_raises(Exception, cvCornerEigenValsAndVecs, lena_GRAY_U8, {'aperture_size':4})
assert_raises(Exception, cvCornerEigenValsAndVecs, lena_GRAY_U8, {'aperture_size':6})
assert_raises(Exception, cvCornerEigenValsAndVecs, lena_GRAY_U8, {'aperture_size':8})
@dec.skipif(OPENCV_LIBS_NOTFOUND, 'Skipping OpenCV test because OpenCV libs were not found')
def test_cvCornerMinEigenVal():
lena_RGB_U8 = np.load('data/lena_RGB_U8.npy')
lena_GRAY_U8 = np.load('data/lena_GRAY_U8.npy')
lena_GRAY_FLOAT32 = np.load('data/lena_GRAY_FLOAT32.npy')
lena_CMEV_U8 = np.load('data/lena_CMEV_U8.npy')
lena_CMEV_FLOAT32 = np.load('data/lena_CMEV_FLOAT32.npy')
cmev8 = cvCornerMinEigenVal(lena_GRAY_U8)
cmev32 = cvCornerMinEigenVal(lena_GRAY_FLOAT32)
assert_array_almost_equal(cmev8, lena_CMEV_U8)
assert_array_almost_equal(cmev32, lena_CMEV_FLOAT32)
assert_raises(Exception, cvCornerMinEigenVal, lena_RGB_U8)
assert_raises(Exception, cvCornerMinEigenVal, lena_GRAY_U8, {'aperture_size':1})
assert_raises(Exception, cvCornerMinEigenVal, lena_GRAY_U8, {'aperture_size':2})
assert_raises(Exception, cvCornerMinEigenVal, lena_GRAY_U8, {'aperture_size':4})
assert_raises(Exception, cvCornerMinEigenVal, lena_GRAY_U8, {'aperture_size':6})
assert_raises(Exception, cvCornerMinEigenVal, lena_GRAY_U8, {'aperture_size':8})
class TestSobel(OpenCVTest):
@_opencv_skip
def test_cvSobel(self):
cvSobel(self.lena_GRAY_U8)
class TestLaplace(OpenCVTest):
@_opencv_skip
def test_cvLaplace(self):
cvLaplace(self.lena_GRAY_U8)
class TestCanny(OpenCVTest):
@_opencv_skip
def test_cvCanny(self):
cvCanny(self.lena_GRAY_U8)
@dec.skipif(OPENCV_LIBS_NOTFOUND, 'Skipping OpenCV test because OpenCV libs were not found')
def test_cvCornerHarris():
lena_RGB_U8 = np.load('data/lena_RGB_U8.npy')
lena_GRAY_U8 = np.load('data/lena_GRAY_U8.npy')
lena_GRAY_FLOAT32 = np.load('data/lena_GRAY_FLOAT32.npy')
lena_HARRIS_U8 = np.load('data/lena_HARRIS_U8.npy')
lena_HARRIS_FLOAT32 = np.load('data/lena_HARRIS_FLOAT32.npy')
hc8 = cvCornerHarris(lena_GRAY_U8)
hc32 = cvCornerHarris(lena_GRAY_FLOAT32)
assert_array_almost_equal(hc8, lena_HARRIS_U8)
assert_array_almost_equal(hc32, lena_HARRIS_FLOAT32)
assert_raises(Exception, cvCornerHarris, lena_RGB_U8)
assert_raises(Exception, cvCornerHarris, lena_GRAY_U8, {'aperture_size':1})
assert_raises(Exception, cvCornerHarris, lena_GRAY_U8, {'aperture_size':2})
assert_raises(Exception, cvCornerHarris, lena_GRAY_U8, {'aperture_size':4})
assert_raises(Exception, cvCornerHarris, lena_GRAY_U8, {'aperture_size':6})
assert_raises(Exception, cvCornerHarris, lena_GRAY_U8, {'aperture_size':8})
@dec.skipif(OPENCV_LIBS_NOTFOUND, 'Skipping OpenCV test because OpenCV libs were not found')
def test_cvSmooth():
lena_RGB_U8 = np.load('data/lena_RGB_U8.npy')
lena_GRAY_U8 = np.load('data/lena_GRAY_U8.npy')
lena_GAUSSRGB_U8 = np.load('data/lena_GAUSSRGB_U8.npy')
lena_GAUSSGRAY_U8 = np.load('data/lena_GAUSSGRAY_U8.npy')
gaussrgb = cvSmooth(lena_RGB_U8)
gaussgray = cvSmooth(lena_GRAY_U8)
assert_array_equal(gaussrgb, lena_GAUSSRGB_U8)
assert_array_equal(gaussgray, lena_GAUSSGRAY_U8)
assert_raises(Exception, cvSmooth, (lena_RGB_U8), {'smoothtype': CV_BLUR_NO_SCALE})
class TestPreCornerDetect(OpenCVTest):
@_opencv_skip
def test_cvPreCornerDetect(self):
cvPreCornerDetect(self.lena_GRAY_U8)
class TestCornerEigenValsAndVecs(OpenCVTest):
@_opencv_skip
def test_cvCornerEigenValsAndVecs(self):
cvCornerEigenValsAndVecs(self.lena_GRAY_U8)
class TestCornerMinEigenVal(OpenCVTest):
@_opencv_skip
def test_cvCornerMinEigenVal(self):
cvCornerMinEigenVal(self.lena_GRAY_U8)
class TestCornerHarris(OpenCVTest):
@_opencv_skip
def test_cvCornerHarris(self):
cvCornerHarris(self.lena_GRAY_U8)
class TestSmooth(OpenCVTest):
@_opencv_skip
def test_cvSmooth(self):
for st in (CV_BLUR_NO_SCALE, CV_BLUR, CV_GAUSSIAN, CV_MEDIAN,
CV_BILATERAL):
cvSmooth(self.lena_GRAY_U8, None, st, 3, 0, 0, 0, False)
if __name__ == '__main__':
run_module_suite()