# # 2. display the original image # print("2. display image... ") plt.title(sys.argv[2][-11:]) plt.imshow(fm, cmap=plt.cm.gray) ImgPath = 'D:\\Fingerprint\\paper8_NN\\P8NN_Images\\' + sys.argv[ 1] + '_' + sys.argv[2][-11:-4] + "_1.png" plt.savefig(ImgPath, dpi=600, bbox_inches='tight') if ShowAll: plt.show() # # 3. find foreground information # print("3. find foreground info... ") fpfg = MyL.FP_FindBG(plt, fm, False) # # 4. load model # print("4. Loading model/weights...") from keras.models import model_from_yaml MdlSourPath = 'D:\\Fingerprint\\paper8_NN\\P8NN_Model\\' mdl_fn = MdlSourPath + sys.argv[1] + ".yaml" wgt_fn = MdlSourPath + sys.argv[1] + ".h5" yaml_file = open(mdl_fn) loaded_model_yaml = yaml_file.read() yaml_file.close() loaded_model = model_from_yaml(loaded_model_yaml) loaded_model.load_weights(wgt_fn)