/RMBRecognization

RMB value classification & currency code detection and recognization

Primary LanguageC++

RMBRecognization

RMB value classification & currency code detection and recognization

训练数据、测试数据、csv标签、模型分别放入以下路径：

train_data_path = '../../dataset_warm_up/train_data/'

test_data_path = '../../dataset_warm_up/public_test_data/'

csv_file = '../../dataset_warm_up/train_face_value_label.csv'

model_saved_path = '../../dataset_warm_up/saved_model/'

即可训练。

环境：

  • pytorch 0.4

  • matplotlib 1.5.3

  • tqdm 4.11.2

  • sklearn 0.19.1

  • pandas 0.20.3

  • PIL 4.2.1

  • torchvision 0.2.1

  • numpy 1.16.0