'TFLite model maker custom object detector training using tfrecord
I am trying to train a custom object detector using tflite model maker (https://www.tensorflow.org/lite/tutorials/model_maker_object_detection). I want to deploy trained tflite model to coral edgeTPU. I want to use tensorflow tfrecord (multiple) as input for training a model like object detection API. I tried with tflite_model_maker.object_detector.DataLoader( tfrecord_file_patten, size, label_map, annotations_json_file=None ) but I am not able to work around it. I have following questions.
- Is it possible to tfrecord for training like mentioned above?
- Is it also possible to pass multiple CSV files for training?
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