def test_image_processing_prerequisite_saves_reload():
ip_obj = ImageProcessing(yolo_path="../YOLO")
ip_obj.load_file("../static-images/4_or_more_people_clinic.jpeg")
ip_obj.preprocess_image()
ip_obj.process_bounding_boxes()
ip_obj.output_adjusted_image("what2.jpg")
assert ip_obj.people_count >= 4 and ip_obj.people_count <= 8
def test_image_processing_save_modified():
ip_obj = ImageProcessing(yolo_path="../YOLO")
ip_obj.load_file("../static-images/no_people.jpg")
ip_obj.preprocess_image()
ip_obj.process_bounding_boxes()
ip_obj.output_adjusted_image("what.jpg")
img = cv2.imread("what.jpg")
assert img is not None
class Uatu:
"""
Uatu - he who watches
"""
def __init__(self, config_file_path):
"""
__init__ - self
"""
LOGGER.info("Initializing UATU.")
self.config_file = config_file_path
self.cfg_organizer = ConfigOrganizer(config_file=self.config_file)
self.cfg_organizer.read_config_data()
self.acq_obj = Acquisition()
self.current_max_count()
LOGGER.info("Completed initialization.")
self.img_processing = ImageProcessing(
yolo_path=self.cfg_organizer.config_handler['system']['yolo_dir'])
def __repr__(self):
return "string"
def current_max_count(self):
"""
current_max_count - returns the current maximum count for the cameras
"""
namelist = ['name', 'timestamp', 'count']
df = pd.read_csv(
self.cfg_organizer.config_handler['system']['csv_location'],
index_col=False,
names=namelist)
df2 = df.fillna(0)
camera_names = df['name'].unique()
df2.sort_values(by=['name', 'count'], inplace=True)
series = df2.groupby('name')['count'].max()
self.stored_values = series.to_dict()
def producer_images(self, pqueue, cqueue, lock):
while True:
if not pqueue.empty():
camera_name = pqueue.get()
image_name = '/tmp/{}-image.jpg'.format(camera_name)
try:
self.acq_obj.retrieve(
self.cfg_organizer.config_handler[camera_name]['url'],
image_name)
with lock:
LOGGER.debug(f'retrieved image: {camera_name}')
cqueue.put((camera_name, image_name))
except Exception as e:
with lock:
LOGGER.debug(f'exception: {e}')
# pqueue.task_done()
def consumer_process_image(self, cqueue, lock):
counter = 1
while True:
if cqueue.empty():
continue
camera_name, image_name = cqueue.get()
with lock:
LOGGER.debug(f'processing camera: {camera_name}')
try:
with lock:
self.img_processing.load_file(
f'/tmp/{camera_name}-image.jpg')
except IOError:
with lock:
LOGGER.debug(f'yup - io error - skipping {camera_name}')
return
with lock:
self.img_processing.preprocess_image()
with lock:
self.img_processing.process_bounding_boxes()
processed_image = "/tmp/{}-{}-{}.jpg".format(
camera_name, time.time(), self.img_processing.people_count)
with lock:
self.img_processing.output_adjusted_image(
'/tmp/what-{}.jpg'.format(counter))
with lock:
print("{},{},{},{}".format(camera_name, time.time(),
self.img_processing.people_count,
processed_image))
if int(self.img_processing.people_count) > int(
self.stored_values[camera_name]):
self.img_processing.output_adjusted_image(processed_image)
def doit(self):
self.current_max_count()
pqueue = Queue(maxsize=0)
cqueue = Queue(maxsize=0)
lock = Lock()
for i in range(NUM_WORKER_THREADS):
pworker = threading.Thread(target=self.producer_images,
args=(pqueue, cqueue, lock))
pworker.daemon = True
pworker.start()
LOGGER.debug('initiated pworkers')
cworker = threading.Thread(target=self.consumer_process_image,
args=(cqueue, lock))
cworker.daemon = True
cworker.start()
LOGGER.debug('initiated workers')
cameras = self.cfg_organizer.find_cameras()
for camera_name in cameras:
LOGGER.debug(f'Loading {camera_name} into pqueue')
pqueue.put(camera_name)
cworker.join()
def debug_dump(self):
LOGGER.debug('Building camera information')
for camera in self.cfg_organizer.find_cameras():
LOGGER.debug(f'{camera}')
LOGGER.debug('\t{}'.format(
self.cfg_organizer.config_handler[camera]['url']))
def test_image_processing_prerequisite_no_people():
ip_obj = ImageProcessing(yolo_path="../YOLO")
ip_obj.load_file("../static-images/no_people.jpg")
ip_obj.preprocess_image()
assert ip_obj.people_count == 0
def test_image_processing_prerequisite_does_not_crash():
ip_obj = ImageProcessing(yolo_path="../YOLO")
ip_obj.load_file("../static-images/4_or_more_people_clinic.jpeg")
ip_obj.preprocess_image()
assert ip_obj.people_count >= 4 and ip_obj.people_count <= 8