print("Testing OpenCV", cv2.__version__)
print("Local repo path:", args.repo)
NewOpenCVTests.repoPath = args.repo
+ try:
+ NewOpenCVTests.extraTestDataPath = os.environ['OPENCV_TEST_DATA_PATH']
+ except KeyError:
+ pass
random.seed(0)
unit_argv = [sys.argv[0]] + other;
unittest.main(argv=unit_argv)
\ No newline at end of file
cascade = cv2.CascadeClassifier(cascade_fn)
nested = cv2.CascadeClassifier(nested_fn)
- dirPath = 'samples/data/'
- samples = ['lena.jpg', 'kate.jpg']
+ samples = ['samples/data/lena.jpg', 'cv/cascadeandhog/images/mona-lisa.png']
faces = []
eyes = []
[ 244, 240, 294, 290],
[ 309, 246, 352, 289]],
- #kate
- [[207, 89, 436, 318],
- [245, 161, 294, 210],
- [343, 139, 389, 185]]
+ #lisa
+ [[167, 119, 307, 259],
+ [188, 153, 229, 194],
+ [236, 153, 277, 194]]
]
for sample in samples:
- img = self.get_sample(dirPath + sample)
+ img = self.get_sample( sample)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
- gray = cv2.GaussianBlur(gray, (3, 3), 1.1)
+ gray = cv2.GaussianBlur(gray, (5, 5), 5.1)
rects = detect(gray, cascade)
faces.append(rects)
# path to local repository folder containing 'samples' folder
repoPath = None
+ extraTestDataPath = None
# github repository url
repoUrl = 'https://raw.github.com/Itseez/opencv/master'
if os.path.isfile(candidate):
with open(candidate, 'rb') as f:
filedata = f.read()
+ if NewOpenCVTests.extraTestDataPath is not None:
+ candidate = NewOpenCVTests.extraTestDataPath + '/' + filename
+ if os.path.isfile(candidate):
+ with open(candidate, 'rb') as f:
+ filedata = f.read()
if filedata is None:
filedata = urlopen(NewOpenCVTests.repoUrl + '/' + filename).read()
self.image_cache[filename] = cv2.imdecode(np.fromstring(filedata, dtype=np.uint8), iscolor)