Paul

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I am getting the same thing with using opencv cv2.dnn.readNetFromONNX using converted custom model to onnx. I wondering if it is missing something else. In the nccn demo, it seems...

I got it working with onnx using onnxruntime

I updated for cuda 10 and latest pytorch if anyone interested. https://github.com/ubergeekNZ/FastFlowNet

Do you see any issue of using https://github.com/jongwook/tfrecord_lite for reading the tfrecords, and create the hub dataset, or does it have to be using tensorflow?

I created a docker, hub, tensorboard, jupyter notebook example based on pytorch MNIST example. Wondering if that is of any use. https://github.com/ubergeekNZ/pytorch_and_hub > @jaivanti hi! thanks for following up. @farizrahman4u...