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Custom Recipes using Tensorflow's Object Detection API
- docs: A folder containing documentations as
- misc: A folder containing few miscellaneous scripts.
- image_frozen_model.py: Contains the
image.frozenmodel recipe which is basically a model in loop annotation recipe using an object detection model. This uses the
frozen graph, either from Tensorflow Detection Model Zoo or from your custom export.
- image_tf_serving.py: Contains the
image.servingmodel recipe. This is similar to above but, uses
SavedModel instead of the
frozen graph. As the name suggests, this recipe requires Tensorflow Serving.
- image_train.py: Contains the
image.trainmodel recipe. This supports taining the Object Detection API models in loop. See training_model_in_loop.md for documentation.