def _test_remove_reddot(self, img):
f0 = CalibrateRedDotFilter()
f1 = SeparateObjectFilter()
meta_img = MetaImg(img, {})
f0.filter(meta_img)
f1.filter(meta_img)
self.assertLess(np.sum(meta_img.meta['mask']) / 255, 40)
def test_no_red_dot(self):
im3 = cv2.imread('tests/lena.jpg', cv.CV_LOAD_IMAGE_COLOR)
f1 = SeparateObjectFilter()
meta_img = MetaImg(im3, {})
try:
f1.filter(meta_img)
except:
self.fail()
def test_measure(self):
im3 = cv2.imread('tests/reddot_seed.jpg', cv.CV_LOAD_IMAGE_COLOR)
f1 = CalibrateRedDotFilter({'dims': (4, 4), 'dot_diameter_in_mm': 5})
f2 = SeparateObjectFilter()
meta_img = MetaImg(im3, {})
f1(meta_img)
f2(meta_img)
print meta_img.meta['ellipsis']
def test_speed(self):
im3 = cv2.imread('tests/reddot_seed.jpg', cv.CV_LOAD_IMAGE_COLOR)
f1 = SeparateObjectFilter()
t = time()
for i in xrange(5):
meta_img = MetaImg(im3, {})
f1.filter(meta_img)
t2 = time()
self.assertLess(t2 - t, 5)
def __init__(self, video_src=0):
self.cam = cap = cv2.VideoCapture(video_src)
# cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, 320)
# cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, 200)
ret, self.frame = self.cam.read()
cv2.namedWindow('win')
self.calib_filter = CalibrateChessFilter({
'dims': (4, 4),
'square_size_in_mm': 5
})
self.sep_filter = SeparateObjectFilter()
def full_fitlers_test(self):
im3 = cv2.imread('tests/reddot_seed.jpg', cv.CV_LOAD_IMAGE_COLOR)
f1 = CalibrateRedDotFilter({'dims': (4, 4), 'dot_diameter_in_mm': 5})
f2 = SeparateObjectFilter()
t = time()
for i in xrange(5):
meta_img = MetaImg(np.array(im3), {})
f1.filter(meta_img)
f2.filter(meta_img)
t2 = time()
self.assertLess(t2 - t, 5) #at least 2 frames for second
def test_bg_probability(self):
im3 = cv2.imread('tests/reddot_seed.jpg', cv.CV_LOAD_IMAGE_COLOR)
f1 = SeparateObjectFilter()
meta_img = MetaImg(im3, {})
hsv = cv2.cvtColor(meta_img.img, cv.CV_BGR2HSV)
mask = f1._create_bg_probe_mask(im3)
probab = f1._bg_probability(mask, hsv[:, :, 2])
_, ret = cv2.threshold((probab * 10000).astype(np.uint8), 70, 255,
cv2.THRESH_BINARY_INV)
cv2.imshow('asd1', ret)
probab += f1._bg_probability(mask, hsv[:, :, 0])
probab *= 10000
probab = probab.astype(np.uint8)
print np.max(probab)
_, ret = cv2.threshold(probab, 140, 255, cv2.THRESH_BINARY_INV)
def __init__(self, video_widget, conf):
super(VideoThread, self).__init__()
self.cam_num = conf.get('cam_num', 0)
self.red_dot_diameter = conf.get('dot_diameter_in_mm', 1)
self._frame_count = 0
self._show_detail = False
self._killed = False
self._show_mask = False
self._prev_grab_res = (1280, 1024)
self._snap_grab_res = (2592, 1944)
self.video_widget = video_widget
self._cam_mutex = Lock()
self.calib_filter = CalibrateRedDotFilter({'dot_diameter_in_mm': self.red_dot_diameter})
self.sep_filter = SeparateObjectFilter()
self._timer = QTimer()
self._timer.timeout.connect(self.on_frame)
def test_elipse(self):
im3 = cv2.imread('tests/reddot_seed.jpg', cv.CV_LOAD_IMAGE_COLOR)
f1 = SeparateObjectFilter()
meta_img = MetaImg(im3, {})
f1.filter(meta_img)
self.assertTrue(meta_img.meta.get('ellipsis', False))
def test_probe_mask(self):
f = SeparateObjectFilter()
im3 = cv2.imread('tests/reddot.jpg', cv.CV_LOAD_IMAGE_COLOR)
mask = f._create_bg_probe_mask(im3)
self.assertGreater(np.sum(mask) / 255, 400)
def test_no_object(self):
im3 = cv2.imread('tests/no_object.jpg', cv.CV_LOAD_IMAGE_COLOR)
f1 = SeparateObjectFilter()
meta_img = MetaImg(im3, {})
# try:
f1.filter(meta_img)
