Levan Shugliashvili

Some time ago I [ported this architecture to Tensorflow](https://github.com/lshug/first-order-model-tf). The resultant model is compatible with @AliaksandrSiarohin's checkpoints, and supports Tensorflow Lite. It can be used to generate tf lite files,...

@HashedViking I did test it on a mobile device, but the C++ code that used the generated tflite files for inference on-device was for a proprietary project so I can't...

@HashedViking That's unfortunate. You could probably do without process_kp_driving: that module just implements @AliaksandrSiarohin's normalize_kp in-graph, and isn't very heavy. All the operations in there can just be done out-of-graph....

@HashedViking I fixed the build issues. It should be able to build and shouldn't need SELECT_TF_OPS either. I fixed the input indexing issue in the tf lite test script too....

@zhoumenghan There seems to be a bug in openvino model optimizer's GatherNdNormalizer.py. The line ```if not all(np.take(indices, indices=[i], axis=-1) == 0):``` should be ```if not np.array(np.take(indices, indices=[i], axis=-1) == 0).all()```....

@zhoumenghan adapt_movement_scale and use_relative_jacobian are scalar inputs. If you want them to be changeable during serving time (probably useless for use_relative_jacobian), then you'll have to modify the code to have...

Hello @DLPerf. Apologies for the very late reply. I no longer actively work on this repo, and haven't done so in over three years. The logic outlined is correct. Kudos...