#
# 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)
