class BaseFinder(object):
def __init__(self, name=None):
"""
init the class
:type name: string
:param name: the object name
"""
self._main_component = None
self._sub_components = []
self._timedout_main_components = []
self._timedout_sub_components = []
self._main_extra_img_log = None
self._sub_extra_imgages_log = []
self._rect_extra_timedout_image = None
self._robot_manager = RobotManager()
self._rf_is_set = self._robot_manager.context_is_set()
self._source_image_color = None
self._source_image_gray = None
self._objects_found = []
self._log_manager = None
self._timed_out_images = []
self._find_thread_images = []
self._find_thread_images_disappear = []
#self._find_thread_images_copy = []
self._last_thread_image = None
self._last_thread_image_copy = None
self._heartbeat_images = []
self._heartbeat_images_copy = []
#variables for the perfdata
self._cacheManager = None
self._min_different_contours = 15
self._flag_thread_started = False
self._flag_check_before_exit = False
self._flag_checked_before_exit = False
self._flag_thread_have_to_exit = False
self._screen_capture = None
#end perfdata section
self._info_manager = InfoManager()
self._scaling_factor = self._info_manager.get_info("SCALING FACTOR INT")
self._time_checked_before_exit_start = 0
self._objects_finders_caller = []
self._name_with_caller = None
self._name = name
self._log_manager = LogManager()
self._log_manager.set_object_name(self._name)
self._screen_capture = ScreenManager()
self._cacheManager = CacheManager()
self._configReader = ConfigReader()
self.__enable_debug_calcperf = False
#self._timer_for_disappear = 0
self._object_is_found_flag = False
self._is_object_finder = False
self._objects_found_of_sub_object_finder = []
def _compress_image(self, img):
return cv2.imencode('.png', img)[1]
def _uncompress_image(self, compressed_img):
return cv2.imdecode(compressed_img, cv2.CV_LOAD_IMAGE_GRAYSCALE)
def set_name(self, name):
"""
set the name of the object.
:type name: string
:param name: the name of the object
"""
self._name = name
self._log_manager.set_object_name(self._name)
def get_name(self):
"""
get the name of the object.
:rtype: string
:return: the name of the object
"""
return self._name
def set_name_with_caller(self):
tmp_name = self._name
for object_caller in self._objects_finders_caller:
tmp_name = object_caller + os.sep + tmp_name
self._name_with_caller = tmp_name
self._log_manager.set_object_name(self._name_with_caller)
def set_source_image_color(self, image_data):
"""
set the color image on which the find method will search the object.
:type image_data: numpy.ndarray
:param image_data: the color image
"""
self._source_image_color = image_data.copy()
img_gray = cv2.cvtColor(image_data, cv2.COLOR_BGR2GRAY)
self.set_source_image_gray(img_gray)
#self._log_manager.set_image(self._source_image)
def set_source_image_gray(self, image_data):
"""
set the gray image on which the find method will search the object.
:type image_data: numpy.ndarray
:param image_data: the gray image
"""
self._source_image_gray = image_data.copy()
def get_source_image_color(self):
"""
get the color image on which the find method will search the object.
:rtype: numpy.ndarray
:return: the source color image
"""
return self._source_image_color
def get_source_image_gray(self):
"""
get the gray image on which the find method will search the object.
:rtype: numpy.ndarray
:return: the source gray image
"""
return self._source_image_gray
def find(self):
raise NotImplementedError
def wait(self, timeout=-1, wait_disappear=False):
"""
wait until the object appears on the screen.
if timeout value is -1 (default value) then timeout value will be read from config file.
if configuration file doesn't exist, then timeout value will be 15 sec.
:param timeout: timeout in seconds
:type timeout: int
"""
#cv2.imwrite()
#self._robot_manager.write_log_message("wait method: " + self.get_name(), "ERROR", False)
#self._robot_manager.write_log_message("wait method: " + self.get_name(), "ERROR", False)
#sss = self._robot_manager.get_suite_name()
#ttt = self._robot_manager.get_testcase_name()
#self._robot_manager.method1().method2()
timeout_value = 15
if timeout == -1:
timeout_value = self._configReader.get_finder_wait_timeout()
else:
timeout_value = timeout
self._objects_found = []
self._heartbeat_images = []
self._find_thread_images = []
self._flag_thread_started = False
self._flag_thread_have_to_exit = False
self._heartbeat_images_copy = []
time_elapsed = 0.0
#time_of_last_change = 0.0
self._time_checked_before_exit_start = None
self._object_is_found_flag = False
#screenCapture = ScreenManager()
thread_interval = self._info_manager.get_info("FINDER THREAD INTERVAL") #self._configReader.get_finder_thread_interval()
#thread_interval = 0.5
check_diff_interval = self._info_manager.get_info("CHECK DIFF INTERVAL")
img1 = self._cacheManager.GetLastObjFoundFullImg()
if img1 is None:
img1 = self._screen_capture.grab_desktop(self._screen_capture.get_gray_mat)
thread_t0 = time.time()
time_before_loop = time.time()
while True:
#txx = time.time()
try:
if len(self._objects_found) > 0 and self._flag_thread_started is False:
#do analysis cjecl_time()
"""
print "len main:", len(self._objects_found)
print "main x, y, w, h:", self._objects_found[0][0].x, self._objects_found[0][0].y, self._objects_found[0][0].width, self._objects_found[0][0].height
if self._objects_found[0][1] is not None:
print "len secodn:", len(self._objects_found[0][1])
for sub_obj in self._objects_found[0][1]:
print "sub x, y, w, h:", sub_obj.x, sub_obj.y, sub_obj.width, sub_obj.height
"""
self._last_thread_image = self._uncompress_image(self._find_thread_images[-1][1])
#time.sleep(3600)
if wait_disappear is False:
self._log_manager.save_objects_found(self._name, self.get_source_image_gray(), self._objects_found, [x[1] for x in self._sub_components])
if wait_disappear is True:
self._heartbeat_images_copy = copy.deepcopy(self._heartbeat_images)
self._last_thread_image_copy = copy.deepcopy(self._last_thread_image)
#self._timer_for_disappear = self._heartbeat_images[-1][0]
#self._find_thread_images_copy = copy.deepcopy(self._find_thread_images)
return -2
else:
self._object_is_found_flag = True
self._last_thread_image_copy = copy.deepcopy(self._last_thread_image)
return self._get_performance()
if time_elapsed > timeout_value and self._flag_thread_started is False:
self._last_thread_image = self._uncompress_image(self._find_thread_images[-1][1])
#from alyvix.finders.cv.rectfinder import RectFinder
#from alyvix.finders.cv.imagefinder import ImageFinder
#from alyvix.finders.cv.textfinder import TextFinder
from alyvix.finders.cv.objectfinder import ObjectFinder
#if not isinstance(self, ObjectFinder):
self._log_manager.save_timedout_objects(self._name + "_timedout", self.get_source_image_gray(), self._timedout_main_components, self._timedout_sub_components, self._main_extra_img_log, self._sub_extra_imgages_log)
#else:
if isinstance(self, ObjectFinder):
#self._log_manager.save_timedout_objects(self._name + "_timedout", self._last_thread_image, self._main_component[0]._timedout_main_components, self._main_component[0]._timedout_sub_components, self._main_component[0]._main_extra_img_log, self._main_component[0]._sub_extra_imgages_log, True, self._main_component[0]._name)
if len(self._main_component[0]._objects_found) == 0:
self._log_manager.save_timedout_objects(self._name + "_timedout", self._last_thread_image, self._main_component[0]._timedout_main_components, self._main_component[0]._timedout_sub_components, self._main_component[0]._main_extra_img_log, self._main_component[0]._sub_extra_imgages_log, True, self._main_component[0]._name)
for t_sub in self._sub_components:
self._log_manager.save_timedout_objects(self._name + "_timedout", self._last_thread_image, t_sub[0]._timedout_main_components, t_sub[0]._timedout_sub_components, t_sub[0]._main_extra_img_log, t_sub[0]._sub_extra_imgages_log, True, t_sub[0]._name)
return -1
t0 = time.time()
#cv2.imwrite('img2.png', img2)
#if time.time() - thread_t0 >= thread_interval:
if time_elapsed < timeout_value and time.time() - thread_t0 >= thread_interval and self._flag_thread_started is False:
thread_t0 = time.time()
self._flag_thread_started = True
"""
folder = 'c:\\log\\buffer_images'
for the_file in os.listdir(folder):
file_path = os.path.join(folder, the_file)
try:
if os.path.isfile(file_path):
os.unlink(file_path)
except Exception, e:
print e
"""
#for i in range(len(self._find_thread_images)):
#cv2.imwrite("c:\\log\\buffer_images\\_old_" + str(self._find_thread_images[i][0]) + ".png", self._uncompress_image(self._find_thread_images[i][1]))
self._find_thread_images = copy.deepcopy(self._heartbeat_images)
self._heartbeat_images = []
self.set_source_image_color(img2_color)
self.set_source_image_gray(img2_gray)
if self._log_manager.is_log_enable() is True:
self._log_manager.delete_all_items(keep_items=20, exclude_item="difference")
worker = Thread(target=self.find)
worker.setDaemon(True)
worker.start()
img2_color = self._screen_capture.grab_desktop(self._screen_capture.get_color_mat)
img2_gray = cv2.cvtColor(img2_color, cv2.COLOR_BGR2GRAY)
self._heartbeat_images.append((time_elapsed, self._compress_image(img2_gray)))
t1 = time.time() - t0
time_sleep = check_diff_interval - t1
if time_sleep < 0:
time_sleep = 0
time.sleep(time_sleep)
time_elapsed = time.time() - time_before_loop
#print time_elapsed
except Exception, err:
#print str(err) + " on line " + str(sys.exc_traceback.tb_lineno)
self._log_manager.save_exception("ERROR", "an exception has occurred: " + str(err) + " on line " + str(sys.exc_traceback.tb_lineno))
return None
class BaseFinder(object):
def __init__(self, name=None):
"""
init the class
:type name: string
:param name: the object name
"""
self._source_image_color = None
self._source_image_gray = None
self._objects_found = []
self._log_manager = None
#variables for the perfdata
self._cacheManager = None
self._min_different_contours = 15
self._flag_thread_started = False
self._flag_check_before_exit = False
self._flag_checked_before_exit = False
self._flag_thread_have_to_exit = False
self._screen_capture = None
#end perfdata section
self._time_checked_before_exit_start = 0
self._objects_finders_caller = []
self._name_with_caller = None
self._name = name
self._log_manager = LogManager()
self._log_manager.set_object_name(self._name)
self._screen_capture = ScreenManager()
self._cacheManager = CacheManager()
self._configReader = ConfigReader()
def set_name(self, name):
"""
set the name of the object.
:type name: string
:param name: the name of the object
"""
self._name = name
self._log_manager.set_object_name(self._name)
def get_name(self):
"""
get the name of the object.
:rtype: string
:return: the name of the object
"""
return self._name
def set_name_with_caller(self):
tmp_name = self._name
for object_caller in self._objects_finders_caller:
tmp_name = object_caller + os.sep + tmp_name
self._name_with_caller = tmp_name
self._log_manager.set_object_name(self._name_with_caller)
def set_source_image_color(self, image_data):
"""
set the color image on which the find method will search the object.
:type image_data: numpy.ndarray
:param image_data: the color image
"""
self._source_image_color = image_data.copy()
img_gray = cv2.cvtColor(image_data, cv2.COLOR_BGR2GRAY)
self.set_source_image_gray(img_gray)
#self._log_manager.set_image(self._source_image)
def set_source_image_gray(self, image_data):
"""
set the gray image on which the find method will search the object.
:type image_data: numpy.ndarray
:param image_data: the gray image
"""
self._source_image_gray = image_data.copy()
def find(self):
raise NotImplementedError
def wait(self, timeout=-1):
"""
wait until the object appears on the screen.
if timeout value is -1 (default value) then timeout value will be read from config file.
if configuration file doesn't exist, then timeout value will be 15 sec.
:param timeout: timeout in seconds
:type timeout: int
"""
timeout_value = 15
if timeout == -1:
timeout_value = self._configReader.get_finder_wait_timeout()
else:
timeout_value = timeout
self._objects_found = []
self._flag_thread_started = False
self._flag_thread_have_to_exit = False
time_elapsed = 0
time_of_last_change = 0
self._time_checked_before_exit_start = None
#screenCapture = ScreenManager()
thread_interval = self._configReader.get_finder_thread_interval()
check_diff_interval = self._configReader.get_finder_diff_interval()
img1 = self._cacheManager.GetLastObjFoundFullImg()
if img1 is None:
img1 = self._screen_capture.grab_desktop(self._screen_capture.get_gray_mat)
thread_t0 = time.time()
time_before_loop = time.time()
while True:
try:
if time_elapsed > timeout_value:
return -1
t0 = time.time()
img2_color = self._screen_capture.grab_desktop(self._screen_capture.get_color_mat)
img2_gray = cv2.cvtColor(img2_color, cv2.COLOR_BGR2GRAY)
#cv2.imwrite('img2.png', img2)
if time.time() - thread_t0 >= thread_interval:
thread_t0 = time.time()
if self._flag_thread_started is False:
self._flag_thread_started = True
self.set_source_image_color(img2_color)
self.set_source_image_gray(img2_gray)
if self._log_manager.is_log_enable() is True:
self._log_manager.delete_all_items(keep_items=20, exclude_item="difference")
worker = Thread(target=self.find)
worker.setDaemon(True)
worker.start()
if len(self._objects_found) > 0:
if self._time_checked_before_exit_start is not None:
return self._time_checked_before_exit_start
else:
return time_of_last_change
diff_mask = numpy.bitwise_xor(img1, img2_gray)
#cv2.imwrite("bit.png", diff_mask)
# find the contours
contours, hierarchy = cv2.findContours(diff_mask, cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
for cnt in contours:
x,y,w,h = cv2.boundingRect(cnt)
#cv2.rectangle(img2,(x,y),(x+w,y+h),(0,0,255),3)
#is_images_equal = not(diff_mask.any())
if len(contours) < self._min_different_contours:
#if True:
is_images_equal = True
else:
is_images_equal = False
if is_images_equal is False:
if self._log_manager.is_log_enable() is True:
self._log_manager.save_image("difference", "old.png", img1)
img1 = img2_gray.copy()
if self._log_manager.is_log_enable() is True:
self._log_manager.save_image("difference", "current.png", img2_gray)
self._log_manager.save_image("difference", "mask.png", diff_mask)
self._log_manager.delete_all_items(sub_dir="difference", keep_items=20)
if self._flag_check_before_exit is False:
self._flag_check_before_exit = True
self._time_checked_before_exit_start = time_of_last_change
elif self._flag_checked_before_exit is True and self._flag_check_before_exit is True:
self._flag_check_before_exit = False
self._flag_checked_before_exit = False
self._flag_thread_have_to_exit = True
self._time_checked_before_exit_start = None
time_of_last_change = time_elapsed
#if len(self._objects_found) > 0:
# return time_of_last_change
t1 = time.time() - t0
time_sleep = check_diff_interval - t1
if time_sleep < 0:
time_sleep = 0
time.sleep(time_sleep)
time_elapsed = time.time() - time_before_loop
except Exception, err:
#print str(err) + " on line " + str(sys.exc_traceback.tb_lineno)
self._log_manager.save_exception("ERROR", "an exception has occurred: " + str(err) + " on line " + str(sys.exc_traceback.tb_lineno))
return None
class BaseFinder(object):
def __init__(self, name=None):
"""
init the class
:type name: string
:param name: the object name
"""
self._main_component = None
self._sub_components = []
self._timedout_main_components = []
self._timedout_sub_components = []
self._main_extra_img_log = None
self._sub_extra_imgages_log = []
self._rect_extra_timedout_image = None
self._robot_manager = RobotManager()
self._rf_is_set = self._robot_manager.context_is_set()
self._source_image_color = None
self._source_image_gray = None
self._objects_found = []
self._log_manager = None
self._timed_out_images = []
self._find_thread_images = []
self._find_thread_images_disappear = []
#self._find_thread_images_copy = []
self._last_thread_image = None
self._last_thread_image_copy = None
self._heartbeat_images = []
self._heartbeat_images_copy = []
#variables for the perfdata
self._cacheManager = None
self._min_different_contours = 15
self._flag_thread_started = False
self._flag_check_before_exit = False
self._flag_checked_before_exit = False
self._flag_thread_have_to_exit = False
self._screen_capture = None
#end perfdata section
self._info_manager = InfoManager()
self._scaling_factor = self._info_manager.get_info(
"SCALING FACTOR INT")
self._time_checked_before_exit_start = 0
self._objects_finders_caller = []
self._name_with_caller = None
self._name = name
self._log_manager = LogManager()
self._log_manager.set_object_name(self._name)
self._screen_capture = ScreenManager()
self._cacheManager = CacheManager()
self._configReader = ConfigReader()
self.__enable_debug_calcperf = False
#self._timer_for_disappear = 0
self._object_is_found_flag = False
self._is_object_finder = False
self._objects_found_of_sub_object_finder = []
def _compress_image(self, img):
return cv2.imencode('.png', img)[1]
def _uncompress_image(self, compressed_img):
return cv2.imdecode(compressed_img, cv2.CV_LOAD_IMAGE_GRAYSCALE)
def set_name(self, name):
"""
set the name of the object.
:type name: string
:param name: the name of the object
"""
self._name = name
self._log_manager.set_object_name(self._name)
def get_name(self):
"""
get the name of the object.
:rtype: string
:return: the name of the object
"""
return self._name
def set_name_with_caller(self):
tmp_name = self._name
for object_caller in self._objects_finders_caller:
tmp_name = object_caller + os.sep + tmp_name
self._name_with_caller = tmp_name
self._log_manager.set_object_name(self._name_with_caller)
def set_source_image_color(self, image_data):
"""
set the color image on which the find method will search the object.
:type image_data: numpy.ndarray
:param image_data: the color image
"""
self._source_image_color = image_data.copy()
img_gray = cv2.cvtColor(image_data, cv2.COLOR_BGR2GRAY)
self.set_source_image_gray(img_gray)
#self._log_manager.set_image(self._source_image)
def set_source_image_gray(self, image_data):
"""
set the gray image on which the find method will search the object.
:type image_data: numpy.ndarray
:param image_data: the gray image
"""
self._source_image_gray = image_data.copy()
def get_source_image_color(self):
"""
get the color image on which the find method will search the object.
:rtype: numpy.ndarray
:return: the source color image
"""
return self._source_image_color
def get_source_image_gray(self):
"""
get the gray image on which the find method will search the object.
:rtype: numpy.ndarray
:return: the source gray image
"""
return self._source_image_gray
def find(self):
raise NotImplementedError
def wait(self, timeout=-1, wait_disappear=False):
"""
wait until the object appears on the screen.
if timeout value is -1 (default value) then timeout value will be read from config file.
if configuration file doesn't exist, then timeout value will be 15 sec.
:param timeout: timeout in seconds
:type timeout: int
"""
#cv2.imwrite()
#self._robot_manager.write_log_message("wait method: " + self.get_name(), "ERROR", False)
#self._robot_manager.write_log_message("wait method: " + self.get_name(), "ERROR", False)
#sss = self._robot_manager.get_suite_name()
#ttt = self._robot_manager.get_testcase_name()
#self._robot_manager.method1().method2()
timeout_value = 15
if timeout == -1:
timeout_value = self._configReader.get_finder_wait_timeout()
else:
timeout_value = timeout
self._objects_found = []
self._heartbeat_images = []
self._find_thread_images = []
self._flag_thread_started = False
self._flag_thread_have_to_exit = False
self._heartbeat_images_copy = []
time_elapsed = 0.0
#time_of_last_change = 0.0
self._time_checked_before_exit_start = None
self._object_is_found_flag = False
#screenCapture = ScreenManager()
thread_interval = self._info_manager.get_info(
"FINDER THREAD INTERVAL"
) #self._configReader.get_finder_thread_interval()
#thread_interval = 0.5
check_diff_interval = self._info_manager.get_info(
"CHECK DIFF INTERVAL")
img1 = self._cacheManager.GetLastObjFoundFullImg()
if img1 is None:
img1 = self._screen_capture.grab_desktop(
self._screen_capture.get_gray_mat)
thread_t0 = time.time()
time_before_loop = time.time()
while True:
#txx = time.time()
try:
if len(self._objects_found
) > 0 and self._flag_thread_started is False:
#do analysis cjecl_time()
"""
print "len main:", len(self._objects_found)
print "main x, y, w, h:", self._objects_found[0][0].x, self._objects_found[0][0].y, self._objects_found[0][0].width, self._objects_found[0][0].height
if self._objects_found[0][1] is not None:
print "len secodn:", len(self._objects_found[0][1])
for sub_obj in self._objects_found[0][1]:
print "sub x, y, w, h:", sub_obj.x, sub_obj.y, sub_obj.width, sub_obj.height
"""
self._last_thread_image = self._uncompress_image(
self._find_thread_images[-1][1])
#time.sleep(3600)
if wait_disappear is False:
self._log_manager.save_objects_found(
self._name, self.get_source_image_gray(),
self._objects_found,
[x[1] for x in self._sub_components])
if wait_disappear is True:
self._heartbeat_images_copy = copy.deepcopy(
self._heartbeat_images)
self._last_thread_image_copy = copy.deepcopy(
self._last_thread_image)
#self._timer_for_disappear = self._heartbeat_images[-1][0]
#self._find_thread_images_copy = copy.deepcopy(self._find_thread_images)
return -2
else:
self._object_is_found_flag = True
self._last_thread_image_copy = copy.deepcopy(
self._last_thread_image)
return self._get_performance()
if time_elapsed > timeout_value and self._flag_thread_started is False:
self._last_thread_image = self._uncompress_image(
self._find_thread_images[-1][1])
#from alyvix.finders.cv.rectfinder import RectFinder
#from alyvix.finders.cv.imagefinder import ImageFinder
#from alyvix.finders.cv.textfinder import TextFinder
from alyvix.finders.cv.objectfinder import ObjectFinder
#if not isinstance(self, ObjectFinder):
self._log_manager.save_timedout_objects(
self._name + "_timedout", self.get_source_image_gray(),
self._timedout_main_components,
self._timedout_sub_components,
self._main_extra_img_log, self._sub_extra_imgages_log)
#else:
if isinstance(self, ObjectFinder):
#self._log_manager.save_timedout_objects(self._name + "_timedout", self._last_thread_image, self._main_component[0]._timedout_main_components, self._main_component[0]._timedout_sub_components, self._main_component[0]._main_extra_img_log, self._main_component[0]._sub_extra_imgages_log, True, self._main_component[0]._name)
if len(self._main_component[0]._objects_found) == 0:
self._log_manager.save_timedout_objects(
self._name + "_timedout",
self._last_thread_image, self.
_main_component[0]._timedout_main_components,
self._main_component[0].
_timedout_sub_components,
self._main_component[0]._main_extra_img_log,
self._main_component[0]._sub_extra_imgages_log,
True, self._main_component[0]._name)
for t_sub in self._sub_components:
self._log_manager.save_timedout_objects(
self._name + "_timedout",
self._last_thread_image,
t_sub[0]._timedout_main_components,
t_sub[0]._timedout_sub_components,
t_sub[0]._main_extra_img_log,
t_sub[0]._sub_extra_imgages_log, True,
t_sub[0]._name)
return -1
t0 = time.time()
#cv2.imwrite('img2.png', img2)
#if time.time() - thread_t0 >= thread_interval:
if time_elapsed < timeout_value and time.time(
) - thread_t0 >= thread_interval and self._flag_thread_started is False:
thread_t0 = time.time()
self._flag_thread_started = True
"""
folder = 'c:\\log\\buffer_images'
for the_file in os.listdir(folder):
file_path = os.path.join(folder, the_file)
try:
if os.path.isfile(file_path):
os.unlink(file_path)
except Exception, e:
print e
"""
#for i in range(len(self._find_thread_images)):
#cv2.imwrite("c:\\log\\buffer_images\\_old_" + str(self._find_thread_images[i][0]) + ".png", self._uncompress_image(self._find_thread_images[i][1]))
self._find_thread_images = copy.deepcopy(
self._heartbeat_images)
self._heartbeat_images = []
self.set_source_image_color(img2_color)
self.set_source_image_gray(img2_gray)
if self._log_manager.is_log_enable() is True:
self._log_manager.delete_all_items(
keep_items=20, exclude_item="difference")
worker = Thread(target=self.find)
worker.setDaemon(True)
worker.start()
img2_color = self._screen_capture.grab_desktop(
self._screen_capture.get_color_mat)
img2_gray = cv2.cvtColor(img2_color, cv2.COLOR_BGR2GRAY)
self._heartbeat_images.append(
(time_elapsed, self._compress_image(img2_gray)))
t1 = time.time() - t0
time_sleep = check_diff_interval - t1
if time_sleep < 0:
time_sleep = 0
time.sleep(time_sleep)
time_elapsed = time.time() - time_before_loop
#print time_elapsed
except Exception, err:
#print str(err) + " on line " + str(sys.exc_traceback.tb_lineno)
self._log_manager.save_exception(
"ERROR", "an exception has occurred: " + str(err) +
" on line " + str(sys.exc_traceback.tb_lineno))
return None
class CheckPresence:
def __init__(self, name=None):
"""
init the class
:type name: string
:param name: the object name
"""
self._main_component = None
self.__sub_components = []
self.__threshold = 0.8
self._objects_finders_caller = []
self._name_with_caller = None
self._xy = None
self._offset_x = 0
self._offset_y = 0
self._log_manager = None
self.__enable_debug_calcperf = False
if self.__enable_debug_calcperf is True:
self._log_manager = LogManager()
self._name = "check_presence"
if name is not None:
self._name = name
if self.__enable_debug_calcperf is True:
self._log_manager.set_object_name(self._name)
def set_name(self, name):
"""
set the name of the object.
:type name: string
:param name: the name of the object
"""
self._name = name
if self.__enable_debug_calcperf is True:
self._log_manager.set_object_name(self._name)
def get_name(self):
"""
get the name of the object.
:rtype: string
:return: the name of the object
"""
return self._name
def set_xy(self, x, y):
self._xy = (x, y)
def set_source_image_color(self, image_data):
"""
set the color image on which the find method will search the object.
:type image_data: numpy.ndarray
:param image_data: the color image
"""
self._source_image_color = image_data.copy()
#img_gray = cv2.cvtColor(image_data, cv2.COLOR_BGR2GRAY)
#self.set_source_image_gray(img_gray)
#self._log_manager.set_image(self._source_image)
def set_source_image_gray(self, image_data, crop_properties = None):
"""
set the gray image on which the find method will search the object.
:type image_data: numpy.ndarray
:param image_data: the gray image
"""
if crop_properties is None:
self._source_image_gray = image_data.copy()
else:
x1 = crop_properties[0]
y1 = crop_properties[1]
x2 = crop_properties[2]
y2 = crop_properties[3]
self._offset_x = crop_properties[0]
self._offset_y = crop_properties[1]
self._source_image_gray = image_data[y1:y2, x1:x2].copy()
def set_main_component(self, image, roi_dict=None):
"""
Set the template image that the find method has to find into the source Image.
:type main_template: numpy.ndarray
:param main_template: image of the template
"""
if roi_dict is not None:
roi = Roi(roi_dict)
else:
roi = None
self._main_component = (image, roi)
#print "main component:",self._main_component
def add_sub_component(self, image, roi_dict):
"""
Add a template that the find method has to find if it has also find the main template.
A roi (region of interest) will be cropped from the source image according to the parameters
roi_x, roi_y, roi_width and roi_height. roi_x and roi_y are relative to the main template x,y coordinates.
The find method will search the sub template only inside the roi area.
:type template_image: numpy.ndarray
:param template_image: image of the template
:type roi_x: int
:param roi_x: x-coordinate of roi
:type roi_y: int
:param roi_y: y-coordinate of roi
:type roi_width: int
:param roi_width: roi width
:type roi_height: int
:param roi_height: roi height
"""
roi = Roi(roi_dict)
self.__sub_components.append((image, roi))
def _SetThreshold(self, threshold):
"""
Set the threshold of template matching algorithm. Min value is 0.0, max value is 1.0
threshold=1.0 means that the source image must contain an exact copy of the template image.
threshold=0.0 means that the source image can even not contain the template (with the risk
of false positives).
The default value for the threshold is 0.7
:type threshold: float
:param threshold: threshold value for template matching algorithm
"""
self.__threshold = threshold
def find(self):
"""
find the main template and sub templates into the source image.
:rtype: bool
:return: return true if object is present into the image
"""
try:
#print "main comp:",self._main_component
source_img_auto_set = False
self._objects_found = []
if self.__enable_debug_calcperf is True:
self.__find_log_folder = datetime.datetime.now().strftime("%H_%M_%S") + "_" + "searching"
offset_x = 0
offset_y = 0
main_template = self._main_component[0]
#print "main templ:", main_template
roi = self._main_component[1]
if roi is not None:
y1 = roi.y - self._offset_y
y2 = y1 + roi.height
x1 = roi.x - self._offset_x
x2 = x1 + roi.width
offset_x = x1
offset_y = y1
if offset_x < 0:
offset_x = 0
if offset_y < 0:
offset_y = 0
source_img_height, source_img_width = self._source_image_gray.shape
if y1 < 0:
y1 = 0
elif y1 > source_img_height:
y1 = source_img_height
if y2 < 0:
y2 = 0
elif y2 > source_img_height:
y2 = source_img_height
if x1 < 0:
x1 = 0
elif x1 > source_img_width:
x1 = source_img_width
if x2 < 0:
x2 = 0
elif x2 > source_img_width:
x2 = source_img_width
#print x1,x2,y1,y2
source_image = self._source_image_gray[y1:y2, x1:x2]
else:
source_image = self._source_image_gray
if self.__enable_debug_calcperf is True:
self._log_manager.save_image(self.__find_log_folder, "source_img.png", source_image)
self._log_manager.save_image(self.__find_log_folder, "main_template.png", main_template)
objects_found = []
analyzed_points = []
self._objects_found = []
w, h = main_template.shape[::-1]
src_w, src_h = source_image.shape[::-1]
tpl_w = w
tpl_h = h
if src_h < tpl_h or src_w < tpl_w:
self._flag_thread_have_to_exit = False
self._flag_thread_started = False
self._source_image_gray = None
self._source_image_color = None
return []
res = cv2.matchTemplate(source_image, main_template, cv2.TM_CCOEFF_NORMED)
loc = numpy.where(res >= self.__threshold)
cnt = 0
for point in zip(*loc[::-1]):
object_found = []
object_found.append([])
object_found.append([])
x = offset_x + point[0]
y = offset_y + point[1]
tolerance_region = 5
if not ((x >= self._xy[0] - tolerance_region and
x <= self._xy[0] + tolerance_region) and \
(y >= self._xy[1] - tolerance_region and
y <= self._xy[1] + tolerance_region)):
continue
#self._log_manager.set_main_object_points((x, y, w, h))
if self.__enable_debug_calcperf is True:
img_copy = source_image.copy()
cv2.rectangle(img_copy, ((x-offset_x), (y-offset_y)), ((x-offset_x)+w, (y-offset_y)+h), (0, 0, 255), 2)
self._log_manager.save_image(self.__find_log_folder, "object_found.png", img_copy)
sub_templates_len = len(self.__sub_components)
if sub_templates_len == 0:
main_object_result = MatchResult((x, y, w, h))
object_found[0] = main_object_result
object_found[1] = None
return True
else:
#print sub_templates_len
total_sub_template_found = 0
sub_objects_found = []
for sub_template in self.__sub_components:
sub_template_coordinates = self._find_sub_template((x, y), sub_template)
if sub_template_coordinates is not None:
sub_objects_found.append(sub_template_coordinates)
total_sub_template_found = total_sub_template_found + 1
if total_sub_template_found == sub_templates_len:
#good_points.append((x, y, w, h))
main_object_result = MatchResult((x, y, w, h))
object_found[0] = main_object_result
object_found[1] = sub_objects_found
#objects_found.append(object_found)
return True
#self._log_manager.save_object_image("img_" + str(cnt) + ".png")
cnt = cnt + 1
#if len(objects_found) > 0:
# return True
except Exception, err:
self._log_manager.save_exception("ERROR", "an exception has occurred: " + str(err) + " on line " + str(sys.exc_traceback.tb_lineno))
return False