inferencing using the saved_model.pb

Hello there,

Thanks for sharing your project with us. I want to use the saved_model.pb in order to run the inferencing. To put it another way, the same as test_shadownet.py which test on a single image, but I want to do the save using the saved model. can you please help me with this?

Your help is much appreciated.

The reason I want to change the test_shadownet.py is that it uses

    codec = tf_io_pipline_fast_tools.CrnnFeatureReader(
        char_dict_path=char_dict_path,
        ord_map_dict_path=ord_map_dict_path
    )

    net = crnn_net.ShadowNet(
        phase='test',
        hidden_nums=CFG.ARCH.HIDDEN_UNITS,
        layers_nums=CFG.ARCH.HIDDEN_LAYERS,
        num_classes=CFG.ARCH.NUM_CLASSES
    )

But I want to use ur model seperately in another environment without needing to any modules.

[MaybeShewill-CV]

@saria85 I will release a model trained on this dataset once I got spare time:)

[MaybeShewill-CV]

@AhmadShaik You may first see synth90k dataset and understand it’s format and make yourown dataset reference to their format:)