class ALPR(ContextEngineBase):
# Trained classifier
alpr = None;
# Top n highest confidence predictions
n = 5
def __init__(self, complexity, numInputs, outputClassifier, inputClassifiers, appFieldsDict):
ContextEngineBase.__init__(self,complexity, numInputs, outputClassifier, inputClassifiers, appFieldsDict)
self.alpr = Alpr("us", "/etc/openalpr/openalpr.conf", "/home/pi/openalpr/runtime_data")
if not self.alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
self.alpr.set_top_n(self.n)
self.alpr.set_default_region("va")
# Execute the trained classifier against the given test sample
# inputObsVector is a path to the video file
def execute(self, inputObsVector):
if(len(inputObsVector) == self.numInputs):
y_Test = self.predict(inputObsVector);
return y_Test;
else:
print("Wrong dimensions, fail to execute");
return None;
# Grabs frames and returns top n predictions per frame.
def predict(self, x_Test):
cap = cv2.VideoCapture(x_Test[0])
if not cap.isOpened():
print("vid open error")
cap.open()
fps = 25
timedelta = 0
detectCounter = [0]
detectCounter[0] = 0
plates_list = np.empty([0, self.n])
while(cap.isOpened()):
ret, frame = cap.read()
if (detectCounter[0] < fps*timedelta):
detectCounter[0] += 1
continue
detectCounter[0] = 0
if ret:
pretime = time.time()
ret, enc = cv2.imencode("*.bmp", frame)
results = self.alpr.recognize_array(bytes(bytearray(enc)))
posttime = time.time()
plates = np.empty([1,self.n], dtype='a5')
for s in range(0, self.n):
plates[0][s] = ""
for plate in results['results']:
i = 0
for candidate in plate['candidates']:
platenum = candidate['plate'].encode('ascii','ignore')
plates[0][i] = platenum
i += 1
timedelta = posttime - pretime # in seconds
plates_list = np.vstack((plates_list, plates))
else:
break
return plates_list;
class NplateExtraction:
def __init__(self, confgpath):
self.confgpath = confgpath
config = ConfigParser()
config.read(self.confgpath)
self.confsect = config['NPEConfig']
self.alprconfig = self.confsect['alprconfig']
self.alprruntime = self.confsect['alprruntime']
self.imagepath = self.confsect['objImage']
self.alpr = Alpr("us", self.alprconfig, self.alprruntime)
self.alpr.set_top_n(4)
#self.alpr.set_default_region("us")
print(self.alpr.is_loaded())
if not self.alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
#print(self.alprconfig)
def getplate(self, imagepath):
results = self.alpr.recognize_file(imagepath)
xtop = results['results'][0]['coordinates'][0]['x']
ytop = results['results'][0]['coordinates'][0]['y']
width = int(results['results'][0]['coordinates'][1]['x']) - int(xtop)
height = int(results['results'][0]['coordinates'][3]['x']) - int(ytop)
retresult = {
"plate": results['results'][0]['candidates'][0]['plate'],
"confidence": results['results'][0]['candidates'][0]['confidence'],
"xtop": xtop,
"ytop": ytop,
"width": width,
"height": height
}
return json.dumps(
retresult, indent=4
) #(results['results'][0]['candidates'][0],results['results'][0]['coordinates'])
def start_capture_plates(rtsp):
cap = cv2.VideoCapture(rtsp)
global lastPlate
alpr = Alpr("mx", "openalpr.conf", "runtime_data")
if not alpr.is_loaded():
print("Error al Cargar Librería: OpenALPR")
alpr.set_top_n(20)
alpr.set_default_region("mx")
if alpr.is_loaded():
while cap.isOpened():
ret, img = cap.read()
img_str = cv2.imencode('.jpg', img)[1].tostring()
# cv2.imshow('img', img)
results = alpr.recognize_array(img_str)
print(results)
for plate in results['results']:
len_plate = len(plate['plate'])
if len_plate == 7:
cv2.putText(img, plate['plate'],
(plate['coordinates'][0]['x'],
plate['coordinates'][0]['y']), 0, 2,
(255, 0, 0), 3)
cv2.rectangle(img, (plate['coordinates'][0]['x'],
plate['coordinates'][0]['y']),
(plate['coordinates'][2]['x'],
plate['coordinates'][2]['y']), (255, 0, 0),
3)
cv2.imshow('img', img)
report_plate = black_list(plate['plate'])
if report_plate.status == 200:
access_tagger(plate['plate'])
lastPlate = plate['plate']
response_json = {
'message': 'Acceso Permitido',
'payload': {
'plate': lastPlate,
'description': 'Lorem Ipsum Dolor'
}
}
alpr.unload()
cv2.destroyAllWindows()
return jsonify(response_json)
else:
alpr.unload()
cv2.destroyAllWindows()
response_json = report_plate
return response_json
def init_detector():
vn_detector = Alpr("vn", "openalpr.conf", "runtime_data")
vn2_detector = Alpr("vn2", "openalpr.conf", "runtime_data")
if not (vn_detector.is_loaded() or vn2_detector.is_loaded()):
print("Error loading OpenALPR")
raise Exception("Error loading OpenALPR")
vn_detector.set_top_n(5)
vn_detector.set_default_region("base")
vn2_detector.set_top_n(5)
vn2_detector.set_default_region("base")
return vn_detector, vn2_detector
def openALPR(): #reading the picture
print('STARTED: ALPR')
try:
global database
alpr = None
alpr = Alpr('gb', '/etc/openalpr/openalpr.conf',
'/home/pi/openalpr/runtime_data')
if not alpr.is_loaded():
print("Error loading OpenALPR")
return False
else:
database = []
alpr.set_top_n(7)
alpr.set_default_region("gb")
alpr.set_detect_region(False)
jpeg_bytes = open('Plates/Plate.jpg', "rb").read() #testing
results = alpr.recognize_array(jpeg_bytes)
i = 0
for plate in results['results']:
i += 1
for candidate in plate['candidates']:
plate = [candidate['plate'], candidate['confidence']]
database.append(plate)
if database == []:
remove(filepath)
print('FINISHED: ALPR unsucessful')
return False
else:
print(database)
print('FINISHED: ALPR sucessful')
return True
except AttributeError:
print()
class LicenseDetector:
def __init__(self, runtime_data='/usr/share/openalpr/runtime_data/'):
self.runtime_data = runtime_data
self.cache = ExpiringDict(max_len=100, max_age_seconds=5)
self.init_alpr()
def license_detect(self, image):
results = self.alpr.recognize_ndarray(image)
i = 0
for plate in results['results']:
for candidate in plate['candidates']:
if 90 <= candidate['confidence']:
self.cache[candidate['plate']] = self.cache.get(
candidate['plate'], 0) + 1
sort_orders = sorted(self.cache.items(),
key=lambda itm: itm[1],
reverse=True)
return (sort_orders[0][0] if sort_orders else None)
def init_alpr(self):
self.alpr = Alpr("us", "/etc/openalpr/openalpr.conf",
self.runtime_data)
if not self.alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
self.alpr.set_top_n(20)
self.alpr.set_default_region("md")
def process():
alpr = Alpr(REGION, OPENALPR_CONF, RUNTIME_DIR)
if not alpr.is_loaded():
LOGGER.info("Error loading OpenALPR")
sys.exit(1)
# 5 cikarimda bulun
alpr.set_top_n(5)
results = alpr.recognize_file(ARGS['image'])
i = 0
for plate in results['results']:
i += 1
print("Plaka #%d" % i)
print(" %12s %12s" % ("Plaka", "Dogruluk"))
for candidate in plate['candidates']:
prefix = "-"
if candidate['matches_template']:
prefix = "*"
print(" %s %12s%12f" % (prefix, candidate['plate'], candidate['confidence']))
# Call when completely done to release memory
alpr.unload()
def scan():
# change definitions to define parameters of openalpr
subprocess.call(
"fswebcam -r 1920x1080 -S 20 --set brightness=50% --no-banner /home/pi/Desktop/BruinLabsParking/license_plate.jpg",
shell=True)
alpr = Alpr(location, config_path, runtime_path)
if not alpr.is_loaded():
print("Failed to load OpenALPR")
sys.exit()
plates = alpr.recognize_file("license_plate.jpg")
# checks if there is car in frame else returns
if len(plates['results']) == 0:
return
else:
# return the top 3 candidates
candidates = [
plates['results'][0]['candidates'][i]['plate']
for i in range(0, 3)
]
return candidates
alpr.unload()
def recognize():
global first_plate
alpr = Alpr("auwide", "openalpr/config/openalpr.conf",
"openalpr/runtime_data")
if not alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
alpr.set_top_n(1)
#alpr.set_default_region("vic")
results = alpr.recognize_file("test_out.jpg")
i = 0
for plate in results['results']:
i += 1
print("Plate #%d" % i)
print(" %12s %12s" % ("Plate", "Confidence"))
for candidate in plate['candidates']:
prefix = "-"
if candidate['matches_template']:
prefix = "*"
print(" %s %12s%12f" %
(prefix, candidate['plate'], candidate['confidence']))
first_plate = candidate['plate']
# Call when completely done to release memory
alpr.unload()
def coordRetrv(conf, runtime, image_location):
# configure ALPR setting according to config file
alpr = Alpr("us", conf, runtime)
# Tests if ALPR is able to open
if not alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
# Gets the top result from ALPR for each plate
alpr.set_top_n(1)
alpr.set_default_region("tx")
# Loads results from the openALPR library
# jpeg_bytes = open(image_location, "rb").read()
# img_bytes = image_location.tobytes()
success, img_numpy = cv2.imencode('.jpg', image_location)
img_binary = img_numpy.tostring()
results = alpr.recognize_array(img_binary)
result = results['results']
# print(result)
# Prints the number of license plates
# print(len(result))
# TODO: Figure out why this isnt working(maybe needs to be called at end of main
# alpr.unload()
# return list of all license plates in picture according to ALPR
return result
def pred_alpr(image1): #### SHould add the region
alpr = Alpr("us", "C:\\Users\\shobeir.mazinani\\Desktop\\BasharsALPR\\OpenALPR-Python\\openalpr_64\\openalpr.conf", "C:\\Users\\shobeir.mazinani\\Desktop\\BasharsALPR\\OpenALPR-Python\\openalpr_64\\runtime_data")
if not alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
else:
print("OpenALPR was loaded correctly")
alpr.set_top_n(1)
alpr.set_default_region("ca")
results = alpr.recognize_file(image1)
#print(results)
i = 0
for plate in results['results']:
i += 1
print("Plate #%d" % i)
print(" %12s %12s" % ("Plate", "Confidence"))
for candidate in plate['candidates']:
prefix = "-"
if candidate['matches_template']:
prefix = "*"
#print(" %s %12s%12f" % (prefix, candidate['plate'], candidate['confidence']))
# Call when completely done to release memory
# alpr.unload()
#print("Sleep for some time")
#time.sleep(5)
#print("I am done")
return candidate['plate'], candidate['confidence']
def initNumPlateRecognizer(region="eu"):
alpr = Alpr("eu", "nplate_train/openalpr.conf.in", "nplate_train/runtime_data")
if not alpr.is_loaded():
print ("Error loading OpenALPR")
sys.exit(1)
alpr.set_default_region(region)
return alpr
def recognise(image: str) -> str:
"""
Args:
image(str): Image path
Returns:
Plate number string
"""
# TODO: To find a way to merge open_alpr with open_alpr_window by making the config paths platform independent
# Change this paths correspondingly
config_file = 'C:\\Users\\Ani\\Downloads\\openalpr\\openalpr-2.3.0\\config\\openalpr.conf.defaults'
runtime_dir = "C:\\Users\\Ani\\Downloads\\openalpr\\openalpr-2.3.0\\runtime_data"
alpr = Alpr('eu', config_file, runtime_dir)
if not alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
alpr.set_top_n(1)
results = alpr.recognize_file(image)
plate_number = results['results'][0]['plate'][-7:]
if plate_number:
return plate_number
return "Plate number not found"
class Plate:
def __init__(self):
self.alpr = Alpr("eu", "/etc/openalpr/conf",
"/usr/share/openalpr/runtime_data")
if not self.alpr.is_loaded():
print("Erro ao carregar o ALPR..")
sys.exit(1)
self.alpr.set_top_n(10)
self.alpr.set_default_region("")
def plate_ocr(self, placa):
results = self.alpr.recognize_file(placa)
i = 0
plate = ""
for plate in results['results']:
i += 1
for candidate in plate['candidates']:
if candidate['matches_template']:
prefix = "*"
teste = candidate['plate']
x = re.search('^[A-Z]{3}[0-9]{1}[A-Z]{1}[0-9]{2}', teste)
if (x):
plate = candidate['plate']
#return plate
break
self.alpr.unload()
if (plate != ""):
print(plate)
return plate
def detect(path):
alpr = Alpr("us", "/etc/openalpr/openalp.conf",
"/usr/share/openalpr/runtime_data")
if not alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
alpr.set_top_n(20) #top candidates
alpr.set_default_region("ca") #default region
results = alpr.recognize_file(path)
largestPlate = None
largestArea = 0
for plate in results['results']:
coords = plate['coordinates']
topLeft = coords[0]
bottomRight = coords[2]
w = bottomRight['x'] - topLeft['x']
h = bottomRight['y'] - topLeft['y']
prevArea = largestArea
largestArea = max(w * h, largestArea)
if (prevArea != largestArea):
largestPlate = plate
# Call when completely done to release memory
alpr.unload()
if largestPlate == None:
return []
return largestPlate['candidates']
def recognize_license_plate(image, obj_meta, confidence):
#silly way to detect license plates
if (obj_meta.class_id == 1):
#Importing openalpr
print('Importing alpr')
alpr_engine = Alpr("eu", "/etc/openalpr/openalpr_rai.conf",
"/usr/share/openalpr/runtime_data")
if not alpr_engine.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
alpr_engine.set_top_n(10)
alpr_engine.set_default_region("fi")
frame_number = random.randint(0, 100)
rect_params = obj_meta.rect_params
top = int(rect_params.top)
left = int(rect_params.left)
width = int(rect_params.width)
height = int(rect_params.height)
lp_cutout = image[top:top + height, left:left + width, :]
cv2.imwrite(
"/opt/nvidia/deepstream/deepstream-5.0/sources/python/apps/deepstream-test10-helloworld6/"
+ str(frame_number) + "_lpcut.jpg", lp_cutout)
cv2.imwrite(
"/opt/nvidia/deepstream/deepstream-5.0/sources/python/apps/deepstream-test10-helloworld6/"
+ str(frame_number) + "_image.jpg", image)
results = alpr_engine.recognize_ndarray(lp_cutout)
print(results)
alpr_engine.unload()
class MariaBack:
def __init__(self):
self.alpr = Alpr("mx", "/etc/openalpr/openalpr.conf", "/usr/share/openalpr/runtime_data")
if not self.alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
self.alpr.set_top_n(3)
def startWatchingaBack(self):
cap = cv2.VideoCapture(0)
while(True):
ret, frame = cap.read()
filename = "temp2.jpg"
time.sleep(5)
cv2.imwrite(filename, frame)
results = self.alpr.recognize_file("./temp2.jpg")
if len(results['results']) != 0:
yield results['results']
if cv2.waitKey(1) & 0xFF == ord('q'):
break
def sendRecognizedPlateBack(self, plate):
r = requests.post("http://192.168.0.10:80/maria/recognize-plate/?username=BenjaminGuzman&password=MariaUribe&plate={}".format(plate), auth=("BenjaminGuzman", "MariaUribe"))
print(r.status_code)
print("Esta es la respuesta del servido "+str(r.text))
if r.text != "true":
return 0
return 1
def main(args):
cap, out = get_video(args)
# Grab the shape of the input
width = int(cap.get(3))
height = int(cap.get(4))
color_state_image = np.zeros((width, height, 3))
alpr = Alpr("eu", "./ALPR/alpr_config/runtime_data/gb.conf",
"./ALPR/alpr_config/runtime_data")
if not alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
lib_merges = []
while True:
ret, frame = cap.read()
if ret == True:
with MPIPoolExecutor(max_workers=3) as executor:
results = []
for result in executor.map(mpi_function,
range(3), [args]*3, [frame]*3, [cap]*3,
[color_state_image]*3):
results.append(result)
if args.save_video:
out.write(output)
if args.real_time:
cv2.imshow(identifier, output)
else:
break
if out is not None:
out.release()
if cap is not None:
cap.release()
def numplate(image_path, num_coincidence=10):
''' Retorna los patrones encontrados en la imagen que se ingresa y que concuerdan con el archivo de patrones que configuramos anteriormente.
Parameters
----------
image_path:
Recibe el path de la imagen a procesar (obligatorio)
num_coincidence:
El numero de patrones posibles que deseamos analizar (no es obligatorio, por default es 10)
Returns
-------
De salida nos entrega una lista con diccionarios con los patrones posibles y su porcentaje de coincidencia
'''
alpr = Alpr(COUNTRY_CODE, CONF_PATH, RUNTIME_PATH)
if not alpr.is_loaded():
print('Error cargando openALPR')
sys.exit(1)
alpr.set_top_n(num_coincidence)
alpr.set_default_region(REGION_CODE)
results = alpr.recognize_file(image_path)
correct_plates = []
for plate in results['results']:
correct_plates = get_candidates(plate)
alpr.unload()
return correct_plates
def pipeline(foto):
alpr = Alpr("us", "/etc/openalpr/openalpr.conf", "openalpr/runtime_data/")
if not alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
alpr.set_top_n(7)
alpr.set_default_region("md")
results = alpr.recognize_ndarray(foto)
i = 0
for plate in results['results']:
i += 1
#print("Plate #%d" % i)
#print(" %12s %12s" % ("Plate", "Confidence"))
for candidate in plate['candidates']:
# prefix = "-"
# if candidate['matches_template']:
# prefix = "*"
if len(candidate["plate"]
) == 6 and candidate["confidence"] >= 50.0:
print("Plate: " + str(candidate["plate"]) + " Confidence:" +
str(candidate["confidence"]))
# print(" %s %12s%12f" % (prefix, candidate['plate'], candidate['confidence']))
# Call when completely done to release memory
alpr.unload()
def Alpr_run():
camera = PiCamera()
camera.resolution = (1920, 1080)
# TODO: change these depending on platform
alpr = Alpr("us",
"/home/zib/Senior-Design-ALPR/src/build/config/openalpr.conf",
"/home/zib/Senior-Design-ALPR/runtime_data")
if not alpr.is_loaded():
print("Error loading OpenALPR")
foundmatch[0] = 7
sys.exit(1)
alpr.set_top_n(10)
try:
while True:
camera.capture('/home/zib/plates/image.jpg')
results = alpr.recognize_file("/home/zib/plates/image.jpg")
if foundmatch[0] == 8:
alpr.unload()
#print "Thead exitted"
sys.exit()
for plate in results['results']:
if foundmatch[0] == 8:
alpr.unload()
#print "Thead exitted"
sys.exit()
for candidate in plate['candidates']:
if candidate['confidence'] >= 85:
# hit_index will be used by the gui to fill in the desired info for display when a match occurs
# May or may not be useful if separate processes between gui and this
hit_index = 0
for entry in dBase:
if candidate['plate'] == entry['plate']:
# XXX: Location to add logging, like copy picture, or add to a log file
#Conditional works as both a lock and the signal to wake the thread back up
alprwake.acquire()
foundmatch[0] = 1
foundindex[0] = hit_index
alprwake.wait() #Sleeps till notified
alprwake.release()
break
else:
hit_index += 1
if foundmatch[0] == 8:
alpr.unload()
#print "Thead exitted"
sys.exit()
alpr.unload()
#print "Thead exitted"
except KeyboardInterrupt:
alprwake.acquire()
foundmatch[0] = 7
alprwake.release()
alpr.unload()
#print "Thread exitted"
sys.exit()
def get_alpr():
alpr = Alpr("us", "/etc/openalpr/openalpr.conf",
"/usr/share/openalpr/runtime_data")
if not alpr.is_loaded():
print("Error loading OpenALPR")
return None
print("Using OpenALPR" + alpr.get_version())
return alpr
def get_alpr():
alpr = Alpr("us", "/etc/openalpr/openalpr.conf",
"/usr/share/openalpr/runtime_data")
if not alpr.is_loaded():
print("Error loading OpenALPR")
return None
print("Using OpenALPR" + alpr.get_version())
return alpr
def main():
global license_plates
alpr = Alpr(
'us',
'C:/Users/dhruv/Desktop/Git/openalpr-2.3.0-win-64bit/openalpr_64/openalpr.conf',
'C:/Users/dhruv/Desktop/Git/openalpr-2.3.0-win-64bit/openalpr_64/runtime_data'
)
if not alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
alpr.set_top_n(10)
alpr.set_default_region("on")
cap = cv2.VideoCapture(0)
if not cap.isOpened():
alpr.unload()
sys.exit('Failed to open video file!')
curr_plate = ''
while cap.isOpened():
ret, frame = cap.read()
cv2.imshow('frame', frame)
frame = cv2.resize(frame, (1280, 780))
cv2.imwrite('temp.png', frame)
results = alpr.recognize_file("temp.png")
array_of_plates = []
for plate in results['results']:
for candidate in plate['candidates']:
if candidate['matches_template']:
array_of_plates.append(
[candidate['plate'], candidate['confidence']])
if len(array_of_plates) > 0:
plate = array_of_plates[0][0]
max_confidence = array_of_plates[0][1]
for i in array_of_plates:
if i[1] > max_confidence:
print("MAX")
max_confidence = i[1]
plate = i[0]
license_plates.append(plate)
print("{} {}".format(plate, max_confidence))
if len(license_plates) >= 36:
print("License Plate Detected: {}".format(
most_frequent(license_plates)))
license_plates = []
if cv2.waitKey(1) == 27:
break
cv2.destroyAllWindows()
cap.release()
alpr.unload()
def faceDetection(self, frame):
global value
global percentage
alpr = Alpr("pak", "path/config/openalpr.conf",
"path/openalpr/runtime_data")
frame = cv2.resize(frame, (740, 480))
faces = plateCascade.detectMultiScale(frame,
scaleFactor=1.1,
minNeighbors=5,
minSize=(30, 30))
self.allfaces = faces
for (x, y, w, h) in faces:
cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 4)
cv2.putText(frame,
str(value) + "-" + str(percentage) + "%",
(x - 10, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 1,
(0, 0, 255), 2)
if not alpr.is_loaded():
print("Error loading OpenALPR")
else:
print("Using OpenALPR " + alpr.get_version())
alpr.set_top_n(7)
alpr.set_default_region("wa")
alpr.set_detect_region(False)
cv2.imwrite("1.png", frame)
jpeg_bytes = open("1.png", "rb").read()
results = alpr.recognize_array(jpeg_bytes)
print("Image size: %dx%d" %
(results['img_width'], results['img_height']))
print("Processing Time: %f" % results['processing_time_ms'])
#print(str(results['results'][0][0]['candidates']['plate']))
i = 0
count = 0
for plate in results['results']:
i = 1
print("Plate #%d" % i)
print(" %12s %12s" % ("Plate", "Confidence"))
for candidate in plate['candidates']:
prefix = "-"
if candidate['matches_template']:
prefix = "*"
if count >= 1:
break
print(
" %s %12s%12f" %
(prefix, candidate['plate'], candidate['confidence']))
value = candidate['plate']
percentage = candidate['confidence']
count = count + 1
self.bbFrame = frame
def init_alpr():
global _alpr
do_init = False
if _alpr is None:
_alpr = Alpr('us', CONFIG, RUNTIME)
do_init = True
if not _alpr.is_loaded():
raise Exception('Error loading OpenALPR')
return do_init
def main(webpage_to_scrape, database_config):
alpr = Alpr("eu", "/config/alprd.conf.defaults",
"/Users/matejsamler/Downloads/openalpr-master/runtime_data")
if not alpr.is_loaded():
print "Error loading OpenALPR"
return -1
con = mysql.connector.connect(**database_config)
cursor = con.cursor()
alpr.set_top_n(20)
alpr.set_default_region("md")
results = alpr.recognize_file(sys.argv[1])
most_likely_plate = ""
for plate in results['results']:
for candidate in plate['candidates']:
if candidate['confidence'] == plate['confidence']:
most_likely_plate = candidate['plate']
webpage_to_scrape = webpage_to_scrape + most_likely_plate
try:
soup = BeautifulSoup(urllib2.urlopen(webpage_to_scrape), "html.parser")
except urllib2.HTTPError:
con.commit()
cursor.close()
con.close()
alpr.unload()
return -1
else:
information_table = soup.findAll("div", class_="col1")
indatabasequerry = "SELECT * FROM cars WHERE Plate = '" + most_likely_plate + "'"
querry = "INSERT INTO `cars` (`Plate`, `Region`, `Insurance`, `Duration`, `Type`, `Brand`) VALUES ('" + most_likely_plate + "'"
cursor.execute(indatabasequerry)
rows = cursor.fetchall()
if len(rows) > 0:
return rows[0][0]
else:
for information in make_information_list(information_table):
querry = querry + " ,'" + information + "'"
querry = querry + ");"
cursor.execute(querry)
con.commit()
cursor.execute(indatabasequerry)
rows = cursor.fetchall()
if len(rows) > 0:
return rows[0][0]
# Call when completely done to release memory
cursor.close()
con.close()
alpr.unload()
def scan():
try:
print("Starting scan")
# Send information over
carplateNum = ""
carplateList = []
# Take Photo
print("Taking picture")
cam = PiCamera()
cam.start_preview()
time.sleep(2)
pictime = datetime.datetime.now()
picname = pictime.strftime(
"/home/pi/Desktop/%Y-%m-%d_%H-%M-%S_pic.jpg")
cam.capture(picname)
cam.stop_preview()
cam.close()
# Scan with ALPR
print("Scanning picture")
result = ["0"]
alpr = Alpr("eu", "/etc/openalpr/openalp.conf",
"/usr/share/openalpr/runtime_data")
if not alpr.is_loaded():
print("Failed to load OpenALPR", "error")
result[0] = "-1"
return result
results = alpr.recognize_file(picname)
if os.path.exists(picname):
os.remove(picname)
else:
print("The file does not exist")
if len(results['results']) > 0:
# Print out carplates
for plate in results['results']:
for candidate in plate['candidates']:
carplateNum = candidate['plate']
# TODO: Filter irrelevant carplate result before sending to note
carplateList.append(carplateNum)
print(carplateList)
response = requests.post(url=endpoint,
json={'carplates': carplateList})
# Print out status code
print(response)
# Print out the information sent over
except Exception:
print("error")
return
def __init__(self, id):
alpr = Alpr("eu", "/etc/openalpr/openalpr.conf", "../runtime_data")
if not alpr.is_loaded():
print("Error loading OpenALPR")
exit()
alpr.set_top_n(20)
self.alpr = alpr
self.notifier = Notifier()
self.id = id
self.source = DataSource(self)
def get_plate_alpr(img_path):
openalprConf = r"F:\Kerja\PT AGIT\Bootcamp\AGIT Bootcamp Task\OJT\openalpr64-sdk-2.8.101\openalpr.conf"
openalprRuntimeData = r"F:\Kerja\PT AGIT\Bootcamp\AGIT Bootcamp Task\OJT\openalpr64-sdk-2.8.101\runtime_data"
alpr = Alpr("id", openalprConf, openalprRuntimeData)
if not alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
results = alpr.recognize_file(img_path)
# alpr.unload()
return results
def add_shot_by_creenj(number, image, current_plate):
setlocale(0, "C")
db = Database()
logger.info('So, here we get vals from queue at creenj')
logger.info(number + '\n' + current_plate + '\n' + image)
logging.info('from gf_sqlite_creenj, so number is %s' % number)
if number == '':
try:
alpr = Alpr('eu',
'/usr/share/openalpr/config/openalpr.defaults.conf',
'/usr/share/openalpr/runtime_data')
print("Camed to ALPR")
if not alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
alpr.set_top_n(20)
alpr.set_default_region("lt")
results = alpr.recognize_file(image)
answer = results['results'][0]['plate']
alpr.unload()
except Exception as e:
print('Couldn\'t load ALPR')
answer = 'Unsolved'
return
if answer == '':
return
print('creenj Answer is ', answer)
json_obj = {
'number': answer,
'image': image,
'current_plate': current_plate
}
conn = sqlite3.connect(config.DB_PATH)
c = conn.cursor()
query = 'INSERT INTO ' + db.SHOTS_TABLE_NAME + ' VALUES (?,?,?)'
values = [json_obj['number'], json_obj['current_plate'], json_obj['image']]
values = list(map(
str, values)) # conversion of int (values[0]) to str is ok here
c.executemany(query, [values]) # actually executes only once
conn.commit() # apply changes
c.close()
conn.close()
logger.info('So, it should be in DB')
def main():
try:
print("Starting...")
alpr = Alpr(country, config, runtime_data)
if not alpr.is_loaded():
print("Error loading OpenALPR")
else:
print("Using OpenALPR " + alpr.get_version())
alpr.set_top_n(1)
alpr.set_detect_region(False)
# initialize the video stream and allow the cammera sensor to warmup
video_source = (0 if options["videosource"] == None else options["videosource"])
vs = VideoStream(usePiCamera=options["picamera"] > 0, src=video_source).start()
time.sleep(2.0)
_frame_number = 0
print("Running...")
# loop over the frames from the video stream
while True:
frame = vs.read()
#frame = imutils.resize(frame)
#frame = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
_frame_number += 1
if _frame_number % FRAME_SKIP == 0:
frame_array = (cv2.imencode(".jpg", frame)[1]).tostring()
results = alpr.recognize_array(frame_array)
if len(results["results"]) > 0:
pool.apply_async(_validate, args=[frame_array, results, device, iot, storage])
if options["imshow"]:
# show the frame
cv2.imshow("Frame", frame)
key = cv2.waitKey(1) & 0xFF
# if the `q` key was pressed, break from the loop
if key == ord("q"):
break
except:
print("[main] Unexpected error:", sys.exc_info())
finally:
if alpr:
alpr.unload()
pool.close()
cv2.destroyAllWindows()
vs.stop()
def plate_detection(self, frame):
alpr = Alpr('eu', '/etc/openalpr/openalpr.conf',
'/usr/share/openalpr/runtime_data')
if not alpr.is_loaded():
raise AlprException("Error loading openALPR")
alpr.set_top_n(1)
results = alpr.recognize_ndarray(frame)
if results['results'] != []:
self.plate_as_text(results)
def start_capture_plates_blacklist(data):
cap = cv2.VideoCapture(data['rtsp'])
global lastPlate
alpr = Alpr("mx", "openalpr.conf", "runtime_data")
if not alpr.is_loaded():
print("Error al Cargar Librería: OpenALPR")
alpr.set_top_n(20)
alpr.set_default_region("mx")
if alpr.is_loaded():
while cap.isOpened():
ret, img = cap.read()
img_str = cv2.imencode('.jpg', img)[1].tostring()
# cv2.imshow('img', img)
results = alpr.recognize_array(img_str)
# print(results)
for plate in results['results']:
len_plate = len(plate['plate'])
if len_plate == 7:
cv2.putText(img, plate['plate'],
(plate['coordinates'][0]['x'],
plate['coordinates'][0]['y']), 0, 2,
(255, 0, 0), 3)
cv2.rectangle(img, (plate['coordinates'][0]['x'],
plate['coordinates'][0]['y']),
(plate['coordinates'][2]['x'],
plate['coordinates'][2]['y']), (255, 0, 0),
3)
# cv2.imshow('img', img)
response_json = black_list_insert(data, plate['plate'])
print(response_json)
lastPlate = plate['plate']
alpr.unload()
cv2.destroyAllWindows()
return response_json
def license_read(filenames=[]):
alpr = None
#tell alpr which country license plate to use and where to find the openalpr.conf file and the
#runtime_data folder
alpr = Alpr("us", "/etc/openalpr/openalpr.conf", "/home/baus/Documents/openalpr/runtime_data/")
#Ensures that the alpr is loaded and can be used
if not alpr.is_loaded():
print("Error loading OpenALPR")
return "Error"
elif(alpr.is_loaded()):
alpr.set_top_n(1)
alpr.set_default_region('md')
license_plates=[]
#for all the images that was sent, check if license plate exists
for x in range(5):
results = alpr.recognize_file(filenames[x])
for plate in results["results"]:
for candidate in plate["candidates"]:
#Appends the license plate to the list
#Appends nothing if it didnt find any license plate
license_plates.append(candidate["plate"])
return license_plates
return "Error"
from openalpr import Alpr
import sys
alpr = Alpr("eu", "nplate_train/openalpr.conf.in", "nplate_train/runtime_data")
if not alpr.is_loaded():
print("Error loading OpenALPR")
sys.exit(1)
#alpr.set_top_n(20)
alpr.set_default_region("eu")
results = alpr.recognize_file("/home/riaz/Desktop/hack/2009_09_08_drive_0010/I1_000388.png")
for plate in results['results']:
if len(plate['candidates']) > 0:
print "Found: %12s %12f" % ( plate['candidates'][0]['plate'],plate['candidates'][0]['confidence'])
# Call when completely done to release memory
alpr.unload()
def f(data):
parser = ArgumentParser(description='OpenALPR Python Test Program')
parser.add_argument("-c", "--country", dest="country", action="store", default="us",
help="License plate Country" )
OpenALPR_path = "C:/Users/Franco/Documents/Github/control-vehicular/Otros/Deteccion/openalpr_32bit/"
parser.add_argument("--config", dest="config", action="store", default=OpenALPR_path+"openalpr.conf",
help="Path to openalpr.conf config file" )
parser.add_argument("--runtime_data", dest="runtime_data", action="store", default=OpenALPR_path+"runtime_data",
help="Path to OpenALPR runtime_data directory" )
#parser.add_argument('plate_image', help='License plate image file')
options = parser.parse_args()
print(options.country, options.config, options.runtime_data)
alpr = None
try:
alpr = Alpr(options.country.encode('ascii'), options.config.encode('ascii'), options.runtime_data.encode('ascii'))
if not alpr.is_loaded():
print("Error loading OpenALPR")
else:
print("Using OpenALPR " + alpr.get_version().decode('ascii'))
alpr.set_top_n(7)
alpr.set_default_region(b"wa")
alpr.set_detect_region(False)
# jpeg_bytes = open(options.plate_image, "rb").read()
# results = alpr.recognize_array(jpeg_bytes)
jpeg_bytes = data
results = alpr.recognize_array(bytes(bytearray(data)))
# Uncomment to see the full results structure
# import pprint
# pprint.pprint(results)
print("Image size: %dx%d" %(results['img_width'], results['img_height']))
print("Processing Time: %f" % results['processing_time_ms'])
i = 0
if results['results']:
print("%12s%12f" % (results['results'][0]['plate'], results['results'][0]['confidence']))
for plate in results['results']:
i += 1
print("Plate #%d" % i)
print(" %12s %12s" % ("Plate", "Confidence"))
for candidate in plate['candidates']:
prefix = "-"
if candidate['matches_template']:
prefix = "*"
print(" %s %12s%12f" % (prefix, candidate['plate'], candidate['confidence']))
finally:
if alpr:
alpr.unload()
