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I know how to create a freezed graph and use the export_tflite_ssd_graph - however, is it possible to add post-processing to a tflite graph?

It is not possible to freeze a tflite graph since r1.9, so the usual function won't work. So is there any workaround to add post-processing to a tflite graph when you only have the .tflite File?

Kev1n91
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  • Hi! Have your checked these threads on post training quantization yet ? You can optimize tflite model further using quantization. https://www.tensorflow.org/lite/performance/post_training_quantization https://stackoverflow.com/questions/64372279/how-to-convert-tflite-model-to-quantized-tflite-model https://colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/lite/g3doc/performance/post_training_integer_quant.ipynb –  Oct 20 '21 at 22:55

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