def init(): util.lock()#detect previous precess has completed or not util.set_img_format()#set image format: channels first or channels last util.override_keras_directory_iterator_next() util.set_classes_from_train_dir()#data_dir: data/sorted/train/ util.set_samples_info() if util.get_keras_backend_name() != 'theano': util.tf_allow_growth() if not os.path.exists(config.trained_dir): os.mkdir(config.trained_dir)
def init(): util.lock() util.set_img_format() util.override_keras_directory_iterator_next() util.set_classes_from_train_dir() util.set_samples_info() if util.get_keras_backend_name() != 'theano': util.tf_allow_growth() if not os.path.exists(config.trained_dir): os.mkdir(config.trained_dir)
def init(): util.lock() util.set_img_format() # Pay extremely attention to the RGB->BGR, the next method is override. util.override_keras_directory_iterator_next() util.set_classes_from_train_dir() util.set_samples_info() if util.get_keras_backend_name() != 'theano': util.tf_allow_growth() if not os.path.exists(config.trained_dir): os.mkdir(config.trained_dir)