def connect_mongodb_database(host, port, database, username, password):
"""
Connect to the given MongoDB-database.
Parameters
----------
- host -- The host where MongoDB is running.
- port -- The port on which MongoDB listens.
- database -- The database to connect to.
Returns
-------
A reference to the requested database.
"""
logger = get_root_logger()
try:
logger.info('Connecting to MongoDB...')
# Connect to MongoDB (max. wait 5s for connection to be established)
url = f'mongodb://{username}:{password}@{host}:{port}/{database}?authSource=admin&authMechanism=SCRAM-SHA-1'
mongo_client = MongoClient(url, serverSelectionTimeoutMS=5000)
# request a roundtrip to server because the connection is lazy
mongo_client.server_info()
logger.info('Connected to MongoDB on {}:{}/{}'.format(
host, port, database))
# Get the requested database from the url
return mongo_client.get_database()
except ServerSelectionTimeoutError as err:
logger.critical(
'PyMongo could not connect to the database with url {}'.format(
url))
def save_features():
logger = get_root_logger()
filenames = glob('./datasets/images/dataset_pictures_msk/zaal_*/*.jpg')
total = len(filenames)
count = 0
for path in filenames:
image = cv2.imread(path)
filename = basename(path)
count += 1
paintings_in_image = get_paintings_for_image(filename)
for painting in paintings_in_image:
logger.info('Extracting features of image with id {}'.format(
painting.get('_id')))
full_histogram, block_histogram, LBP_histogram = extract_features(
image, painting.get('corners'), False)
update_by_id(
painting.get('_id'), {
'$set': {
'full_histogram': pickle_serialize(full_histogram),
'block_histogram': pickle_serialize(block_histogram),
'LBP_histogram': pickle_serialize(LBP_histogram)
}
})
logger.info(f'{count}/{total} images processed')
def __init__(self, processes_to_watch=[]):
"""
Create a watch for sudden exits of the given processes. This will kill
all other process in the list as well as the parent process.
Parameters
----------
- processes_to_watch -- The processes to start and watch for unexpected termination.
- on_kill -- The function to call when the process is killed.
"""
self._logger = get_root_logger()
self._processes = processes_to_watch
self._pids = []
# attach the kill signal to listen for
signal.signal(signal.SIGINT, self.exit_gracefully)
signal.signal(signal.SIGTERM, self.exit_gracefully)
# start the child processes
self.start_processes()
pyximport.install(language_level='3')
import cv2
from glob import glob
import re
import os
import pickle
import json
from core.logger import get_root_logger
from data.imageRepo import get_all_images, get_painting_count_by_room
from core.detection import detect_quadrilaterals
from core.visualize import resize_image
from core.prediction import predict_room
logger = get_root_logger()
def run_room_calibration():
filenames = glob('./datasets/images/dataset_pictures_msk/zaal_*/*.jpg')
probability_per_room = {} # key -> room, value -> count & average probability for the room
for f in filenames:
original_image = cv2.imread(f, 1)
resized_image = resize_image(original_image, 0.2)
image = resized_image.copy()
detected_paintings = detect_quadrilaterals(image)
probabilities = predict_room(resized_image, detected_paintings, 0.5)
