def loadModel():
global nnet, textDetector, rectDetector, optionsDetector
try:
# Initialize npdetector with default configuration file.
nnet = Detector(MASK_RCNN_DIR, MASK_RCNN_LOG_DIR)
nnet.loadModel("latest")
rectDetector = RectDetector()
optionsDetector = OptionsDetector()
optionsDetector.load("latest")
# Initialize text detector.
textDetector = TextDetector.get_static_module("eu")()
textDetector.load("latest")
return True
except:
return False
def __init__(self,
NOMEROFF_NET_DIR,
MASK_RCNN_DIR,
MASK_RCNN_LOG_DIR,
load_model="latest",
options_detector="latest",
text_detector_module="eu",
load_text_detector="latest"):
sys.path.append(NOMEROFF_NET_DIR)
# Initialize npdetector with default configuration file.
self.nnet = Detector(MASK_RCNN_DIR, MASK_RCNN_LOG_DIR)
self.nnet.loadModel(load_model)
self.rectDetector = RectDetector()
self.optionsDetector = OptionsDetector()
self.optionsDetector.load(options_detector)
# Initialize text detector.
self.textDetector = TextDetector.get_static_module(
text_detector_module)()
self.textDetector.load(load_text_detector)
numbers[time] = [imgs, textArr]
print('Detected LP : "%s" in region [%s]' %
(textArr, regionNames))
if cv2.waitKey(1) & 0xFF == ord('q'):
break
else:
break
return json.dumps(numbers)
if __name__ == '__main__':
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
app.secret_key = 'mthfckin_key'
print("loading model")
nnet = Detector(MASK_RCNN_DIR, MASK_RCNN_LOG_DIR)
nnet.loadModel("latest")
rectDetector = RectDetector()
optionsDetector = OptionsDetector()
optionsDetector.load("latest")
textDetector = TextDetector.get_static_module("eu")()
textDetector.load("latest")
print("model loaded")
app.run()
