# FBX Handler

## Load file:
```python
# Path to file to load.
input_file = Path('/path/to/file.fbx')
# Load file into class.
container = FBXContainer(input_file)
```

## Preprocess data:
```python
container.init_world_transforms(r=...)
train_raw_data = container.extract_training_translations()
test_raw_data = container.extract_inf_translations()
```

## Training workflow:
```python
# Load file.
container = FBXContainer(input_file)
# Get np.array with all valid translation numbers.
actors_train, markers_train, t_test, _, _ = container.get_split_transforms(mode='train')
# Convert to dataset...
...
```

## Testing workflow:

```python
# Load file.
container = FBXContainer(input_file)
# Get splitted original data (no transforms applied).
actors_test, markers_test, t_test, r_test_, s_test = container.get_split_transforms(mode='test')
# Predict the new actors and classes...
actors_pred, markers_pred = Labeler(scale_translations(t_test))
# Merge the new labels with their original translations.
merged = merge_tdc(actors_pred, markers_pred, t_test, r_test, s_test)
# Convert the full cloud into a dict structured for easy keyframes.
new_dict = array_to_dict(merged)
# Replace the old translation keyframes with the new values.
container.replace_keyframes_for_all_actors(new_dict)
# Export file.
container.export_fbx(Path('/path/to/outputfile.fbx'))
```