def __init__(self, ref_img, alg_window, filt_window, conf_file=None,
filter_type=0, config_enable=False, kernel=None, name=None):
if config_enable == False and conf_file == None:
raise ValueError("configuration disabled and no file given")
self.trk_manager = TrackbarManager(alg_window, filt_window, conf_file, config_enable)
self.frame_processed = np.zeros(ref_img.shape, np.uint16)
self.name = name
self.config_enable = config_enable
self.filter_type = filter_type
self.update()
if kernel is None:
self.kernel = np.ones((5, 5), np.uint16)
else:
self.kernel = kernel
class Filter:
trk_manager = None
frame_processed = None
alg_trk_cfg = None
hsv_trk_cfg = None
range_low = None
range_high = None
kernel = None
name = None
config_enable = None
area_calc_counter = 0
MAX_AREA_CALC_COUNT = 10
area_calc = 0
filter_type = 0
# types are 0 - circle, 1 - area
def __init__(self, ref_img, alg_window, filt_window, conf_file=None,
filter_type=0, config_enable=False, kernel=None, name=None):
if config_enable == False and conf_file == None:
raise ValueError("configuration disabled and no file given")
self.trk_manager = TrackbarManager(alg_window, filt_window, conf_file, config_enable)
self.frame_processed = np.zeros(ref_img.shape, np.uint16)
self.name = name
self.config_enable = config_enable
self.filter_type = filter_type
self.update()
if kernel is None:
self.kernel = np.ones((5, 5), np.uint16)
else:
self.kernel = kernel
def update(self):
self.alg_trk_cfg, self.hsv_trk_cfg = self.trk_manager.get_conf_dicts()
self.range_low = np.array([self.hsv_trk_cfg["h low"], self.hsv_trk_cfg["s low"], self.hsv_trk_cfg["v low"]])
self.range_high = np.array([self.hsv_trk_cfg["h high"], self.hsv_trk_cfg["s high"], self.hsv_trk_cfg["v high"]])
def work(self, frame):
# read color filter configuration
if self.trk_manager.update_needed():
self.update()
# perform color filtering
self.frame_processed = cv2.inRange(frame, self.range_low, self.range_high)
if self.config_enable:
cv2.imshow("Processed", self.frame_processed)
if self.filter_type == 0:
circles = self.__get_circles()
return circles
elif self.filter_type == 1:
self.area_calc_counter += 1
if self.area_calc_counter > self.MAX_AREA_CALC_COUNT:
self.area_calc = self.__get_filtered_area()
self.area_calc_counter = 0
return self.area_calc
def __get_filtered_area(self):
return np.count_nonzero(self.frame_processed)
def __get_circles(self):
cv2.erode(self.frame_processed, self.kernel, self.frame_processed)
# cv2.dilate(self.frame_processed, self.kernel, dst=frame_processed)
if 1 == self.alg_trk_cfg["canny switch"]:
self.frame_processed = cv2.Canny(self.frame_processed,
self.alg_trk_cfg["canny tresh1"], self.alg_trk_cfg["canny tresh2"])
circles = cv2.HoughCircles(self.frame_processed, cv2.cv.CV_HOUGH_GRADIENT,
self.alg_trk_cfg["dp"], self.alg_trk_cfg["minDist"],
param1=self.alg_trk_cfg["param1"], param2=self.alg_trk_cfg["param2"],
minRadius=self.alg_trk_cfg["minRadius"], maxRadius=self.alg_trk_cfg["maxRadius"])
return circles
def close(self):
if self.config_enable:
self.trk_manager.parse_to_file()