mirror of
https://github.com/opencv/opencv.git
synced 2024-11-26 04:00:30 +08:00
Merge pull request #6386 from mshabunin:fix-python-test-issue
This commit is contained in:
commit
e90b697cb0
@ -6,7 +6,7 @@ import numpy as np
|
||||
import cv2
|
||||
import cv2.cv as cv
|
||||
|
||||
from test import OpenCVTests
|
||||
from tests_common import OpenCVTests
|
||||
|
||||
class NonFreeFunctionTests(OpenCVTests):
|
||||
|
||||
|
@ -17,119 +17,14 @@ import argparse
|
||||
|
||||
import cv2.cv as cv
|
||||
|
||||
from test2 import *
|
||||
|
||||
class OpenCVTests(unittest.TestCase):
|
||||
|
||||
# path to local repository folder containing 'samples' folder
|
||||
repoPath = None
|
||||
# github repository url
|
||||
repoUrl = 'https://raw.github.com/Itseez/opencv/2.4'
|
||||
# path to local folder containing 'camera_calibration.tar.gz'
|
||||
dataPath = None
|
||||
# data url
|
||||
dataUrl = 'http://docs.opencv.org/data'
|
||||
|
||||
depths = [ cv.IPL_DEPTH_8U, cv.IPL_DEPTH_8S, cv.IPL_DEPTH_16U, cv.IPL_DEPTH_16S, cv.IPL_DEPTH_32S, cv.IPL_DEPTH_32F, cv.IPL_DEPTH_64F ]
|
||||
|
||||
mat_types = [
|
||||
cv.CV_8UC1,
|
||||
cv.CV_8UC2,
|
||||
cv.CV_8UC3,
|
||||
cv.CV_8UC4,
|
||||
cv.CV_8SC1,
|
||||
cv.CV_8SC2,
|
||||
cv.CV_8SC3,
|
||||
cv.CV_8SC4,
|
||||
cv.CV_16UC1,
|
||||
cv.CV_16UC2,
|
||||
cv.CV_16UC3,
|
||||
cv.CV_16UC4,
|
||||
cv.CV_16SC1,
|
||||
cv.CV_16SC2,
|
||||
cv.CV_16SC3,
|
||||
cv.CV_16SC4,
|
||||
cv.CV_32SC1,
|
||||
cv.CV_32SC2,
|
||||
cv.CV_32SC3,
|
||||
cv.CV_32SC4,
|
||||
cv.CV_32FC1,
|
||||
cv.CV_32FC2,
|
||||
cv.CV_32FC3,
|
||||
cv.CV_32FC4,
|
||||
cv.CV_64FC1,
|
||||
cv.CV_64FC2,
|
||||
cv.CV_64FC3,
|
||||
cv.CV_64FC4,
|
||||
]
|
||||
mat_types_single = [
|
||||
cv.CV_8UC1,
|
||||
cv.CV_8SC1,
|
||||
cv.CV_16UC1,
|
||||
cv.CV_16SC1,
|
||||
cv.CV_32SC1,
|
||||
cv.CV_32FC1,
|
||||
cv.CV_64FC1,
|
||||
]
|
||||
|
||||
def depthsize(self, d):
|
||||
return { cv.IPL_DEPTH_8U : 1,
|
||||
cv.IPL_DEPTH_8S : 1,
|
||||
cv.IPL_DEPTH_16U : 2,
|
||||
cv.IPL_DEPTH_16S : 2,
|
||||
cv.IPL_DEPTH_32S : 4,
|
||||
cv.IPL_DEPTH_32F : 4,
|
||||
cv.IPL_DEPTH_64F : 8 }[d]
|
||||
|
||||
def get_sample(self, filename, iscolor = cv.CV_LOAD_IMAGE_COLOR):
|
||||
if not filename in self.image_cache:
|
||||
filedata = None
|
||||
if OpenCVTests.repoPath is not None:
|
||||
candidate = OpenCVTests.repoPath + '/' + filename
|
||||
if os.path.isfile(candidate):
|
||||
with open(candidate, 'rb') as f:
|
||||
filedata = f.read()
|
||||
if filedata is None:
|
||||
filedata = urllib.urlopen(OpenCVTests.repoUrl + '/' + filename).read()
|
||||
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
|
||||
cv.SetData(imagefiledata, filedata, len(filedata))
|
||||
self.image_cache[filename] = cv.DecodeImageM(imagefiledata, iscolor)
|
||||
return self.image_cache[filename]
|
||||
|
||||
def get_data(self, filename, urlbase):
|
||||
if (not os.path.isfile(filename)):
|
||||
if OpenCVTests.dataPath is not None:
|
||||
candidate = OpenCVTests.dataPath + '/' + filename
|
||||
if os.path.isfile(candidate):
|
||||
return candidate
|
||||
urllib.urlretrieve(urlbase + '/' + filename, filename)
|
||||
return filename
|
||||
|
||||
def setUp(self):
|
||||
self.image_cache = {}
|
||||
|
||||
def snap(self, img):
|
||||
self.snapL([img])
|
||||
|
||||
def snapL(self, L):
|
||||
for i,img in enumerate(L):
|
||||
cv.NamedWindow("snap-%d" % i, 1)
|
||||
cv.ShowImage("snap-%d" % i, img)
|
||||
cv.WaitKey()
|
||||
cv.DestroyAllWindows()
|
||||
|
||||
def hashimg(self, im):
|
||||
""" Compute a hash for an image, useful for image comparisons """
|
||||
return hashlib.md5(im.tostring()).digest()
|
||||
|
||||
#import new OpenCV tests(do we really need old ones in this case)
|
||||
from tests_common import NewOpenCVTests
|
||||
from tests_common import OpenCVTests, NewOpenCVTests
|
||||
|
||||
basedir = os.path.abspath(os.path.dirname(__file__))
|
||||
|
||||
def load_tests(loader, tests, pattern):
|
||||
tests.addTests(loader.discover(basedir, pattern='nonfree_*.py'))
|
||||
tests.addTests(loader.discover(basedir, pattern='test_*.py'))
|
||||
tests.addTests(loader.discover(basedir, pattern='test2.py'))
|
||||
return tests
|
||||
|
||||
# Tests to run first; check the handful of basic operations that the later tests rely on
|
||||
|
@ -8,6 +8,7 @@ import hashlib
|
||||
import os
|
||||
import numpy as np
|
||||
import cv2
|
||||
import cv2.cv as cv
|
||||
|
||||
# Python 3 moved urlopen to urllib.requests
|
||||
try:
|
||||
@ -15,6 +16,110 @@ try:
|
||||
except ImportError:
|
||||
from urllib import urlopen
|
||||
|
||||
class OpenCVTests(unittest.TestCase):
|
||||
|
||||
# path to local repository folder containing 'samples' folder
|
||||
repoPath = None
|
||||
# github repository url
|
||||
repoUrl = 'https://raw.github.com/Itseez/opencv/2.4'
|
||||
# path to local folder containing 'camera_calibration.tar.gz'
|
||||
dataPath = None
|
||||
# data url
|
||||
dataUrl = 'http://docs.opencv.org/data'
|
||||
|
||||
depths = [ cv.IPL_DEPTH_8U, cv.IPL_DEPTH_8S, cv.IPL_DEPTH_16U, cv.IPL_DEPTH_16S, cv.IPL_DEPTH_32S, cv.IPL_DEPTH_32F, cv.IPL_DEPTH_64F ]
|
||||
|
||||
mat_types = [
|
||||
cv.CV_8UC1,
|
||||
cv.CV_8UC2,
|
||||
cv.CV_8UC3,
|
||||
cv.CV_8UC4,
|
||||
cv.CV_8SC1,
|
||||
cv.CV_8SC2,
|
||||
cv.CV_8SC3,
|
||||
cv.CV_8SC4,
|
||||
cv.CV_16UC1,
|
||||
cv.CV_16UC2,
|
||||
cv.CV_16UC3,
|
||||
cv.CV_16UC4,
|
||||
cv.CV_16SC1,
|
||||
cv.CV_16SC2,
|
||||
cv.CV_16SC3,
|
||||
cv.CV_16SC4,
|
||||
cv.CV_32SC1,
|
||||
cv.CV_32SC2,
|
||||
cv.CV_32SC3,
|
||||
cv.CV_32SC4,
|
||||
cv.CV_32FC1,
|
||||
cv.CV_32FC2,
|
||||
cv.CV_32FC3,
|
||||
cv.CV_32FC4,
|
||||
cv.CV_64FC1,
|
||||
cv.CV_64FC2,
|
||||
cv.CV_64FC3,
|
||||
cv.CV_64FC4,
|
||||
]
|
||||
mat_types_single = [
|
||||
cv.CV_8UC1,
|
||||
cv.CV_8SC1,
|
||||
cv.CV_16UC1,
|
||||
cv.CV_16SC1,
|
||||
cv.CV_32SC1,
|
||||
cv.CV_32FC1,
|
||||
cv.CV_64FC1,
|
||||
]
|
||||
|
||||
def depthsize(self, d):
|
||||
return { cv.IPL_DEPTH_8U : 1,
|
||||
cv.IPL_DEPTH_8S : 1,
|
||||
cv.IPL_DEPTH_16U : 2,
|
||||
cv.IPL_DEPTH_16S : 2,
|
||||
cv.IPL_DEPTH_32S : 4,
|
||||
cv.IPL_DEPTH_32F : 4,
|
||||
cv.IPL_DEPTH_64F : 8 }[d]
|
||||
|
||||
def get_sample(self, filename, iscolor = cv.CV_LOAD_IMAGE_COLOR):
|
||||
if not filename in self.image_cache:
|
||||
filedata = None
|
||||
if OpenCVTests.repoPath is not None:
|
||||
candidate = OpenCVTests.repoPath + '/' + filename
|
||||
if os.path.isfile(candidate):
|
||||
with open(candidate, 'rb') as f:
|
||||
filedata = f.read()
|
||||
if filedata is None:
|
||||
filedata = urllib.urlopen(OpenCVTests.repoUrl + '/' + filename).read()
|
||||
imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
|
||||
cv.SetData(imagefiledata, filedata, len(filedata))
|
||||
self.image_cache[filename] = cv.DecodeImageM(imagefiledata, iscolor)
|
||||
return self.image_cache[filename]
|
||||
|
||||
def get_data(self, filename, urlbase):
|
||||
if (not os.path.isfile(filename)):
|
||||
if OpenCVTests.dataPath is not None:
|
||||
candidate = OpenCVTests.dataPath + '/' + filename
|
||||
if os.path.isfile(candidate):
|
||||
return candidate
|
||||
urllib.urlretrieve(urlbase + '/' + filename, filename)
|
||||
return filename
|
||||
|
||||
def setUp(self):
|
||||
self.image_cache = {}
|
||||
|
||||
def snap(self, img):
|
||||
self.snapL([img])
|
||||
|
||||
def snapL(self, L):
|
||||
for i,img in enumerate(L):
|
||||
cv.NamedWindow("snap-%d" % i, 1)
|
||||
cv.ShowImage("snap-%d" % i, img)
|
||||
cv.WaitKey()
|
||||
cv.DestroyAllWindows()
|
||||
|
||||
def hashimg(self, im):
|
||||
""" Compute a hash for an image, useful for image comparisons """
|
||||
return hashlib.md5(im.tostring()).digest()
|
||||
|
||||
|
||||
class NewOpenCVTests(unittest.TestCase):
|
||||
|
||||
# path to local repository folder containing 'samples' folder
|
||||
@ -77,4 +182,4 @@ def isPointInRect(p, rect):
|
||||
if rect[0] <= p[0] and rect[1] <=p[1] and p[0] <= rect[2] and p[1] <= rect[3]:
|
||||
return True
|
||||
else:
|
||||
return False
|
||||
return False
|
||||
|
Loading…
Reference in New Issue
Block a user