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View Code? Open in Web Editor NEWLoad and infer from TensorFlow models from GDScript
License: MIT License
Load and infer from TensorFlow models from GDScript
License: MIT License
The addon is unlikely to work as is on Windows systems. There will likely be issues with linking once the addon is compiled.
Use smart default signature names on model load. This would avoid a user having to manually set signature names. Dependent on #7.
Currently, input and output tensors must be one-dimensional.
Currently, only TensorFlow SavedModel format is supported. Support for ONNX, an open format, may be preferable. Conversion between the two formats is possible.
Precursor to support for arbitrary number of input tensors. If model info can be extracted (see #7), we can check to ensure arguments supplied to infer()
match the number of input vectors.
An array should be given as the only argument to the infer()
method. Currently, a string could be passed causing a failure in cppflow. We should catch this and return a relevant error. See #3.
An info()
method that extracts a model's signature names may be helpful.
Currently, the load_model()
and infer()
methods don't report any errors they encountered. The calling GDScript has no idea whether a model was successfully loaded or an inference was correctly executed.
load_mode()
infer()
The addon is unlikely to work as is on Linux systems. There will likely be issues with linking once the addon is compiled.
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