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Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)

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Hello sir, In your [paper](https://github.com/DebeshJha/NanoNet/blob/main/nanonet-jha.pdf), it is reported that the NanoNet-C has parameters of `36K`. Yet, when I try to replicate the model in PyTorch, available online on [my repository](https://github.com/reshalfahsi/NanoNet-PyTorch),...

Hello, I want to run this model in edgetpu, I converted the TensorFlow model to TFLite with posttraining quantization and after this when i try to convert tflite quantized model...