Argument list:

* ```model_path``` Path to the TF SavedModel
* ```save_path``` Path to save the PyTorch state dict
* ```--statedict``` Export to state dict instead of TorchScript
* ```--fp32``` Save weights at full precision
* ```--skiptest``` Skip testing and save model immediately instead
* ```--gpu``` Whether to attempt to use GPU for testing

# Testing exported model
The following script creates an MP4 video of interpolated frames between 2 input images:
```
python inference.py "model_path" "img1" "img2" [--save_path SAVE_PATH] [--gpu] [--fp16] [--frames FRAMES] [--fps FPS]
```
* ```model_path``` Path to the exported TorchScript checkpoint
* ```img1``` Path to the first image
* ```img2``` Path to the second image
* ```--save_path SAVE_PATH``` Path to save the interpolated frames as a video, if absent it will be saved in the same directory as ```img1``` is located and named ```output.mp4```
* ```--gpu``` Whether to attempt to use GPU for predictions
* ```--fp16``` Whether to use fp16 for calculations, speeds inference up on GPUs with tensor cores
* ```--frames FRAMES``` Number of frames to interpolate between the input images
* ```--fps FPS``` FPS of the output video