So long story short, makesense.ai csv export is not compatible with AutoML, so I am trying to load my data using VOC XML (which I assume is equivalent to PASCAL VOC).
When I try to load the label map, I get this issue:
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-13-b16cb19650e1> in <module>()
----> 1 train_data, validation_data, test_data = object_detector.DataLoader.from_pascal_voc('/content/drive/MyDrive/Colab\ Notebooks/example_data\ frames\ 16fps','/content/drive/MyDrive/Colab\ Notebooks/labels_deep-learning_2021-08-26-03-32-39',{1: 'person', 2: 'notperson'})

TypeError: cannot unpack non-iterable DataLoader object

Pretty sure my arguments are correct according to this documentation: tflite_model_maker.object_detector.DataLoader  |  TensorFlow Lite 3
I have passed the label_map as a copy/paste from the documentation, my images_dir argument is my folder with all of my images, and my annotations_dir argument is my folder with all of my xml files.
Note, I have more images than annotations - I don’t know if this causes problems but I assume that all that matters is that the images referenced in annotations exist in the images_dir - extra images not referenced by the xml annotation files will just be ignored.
Thoughts?