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TensorFlow implementation of Tensor Field Networks. Developed and tested on Ubuntu 18.04 LTS

License: Other

Python 96.34% Shell 0.16% C++ 3.49%
classification computer-vision deep-learning point-cloud rotation-equivariance tensor-field-networks tensorflow

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tensor-field-networks's Issues

how can i train with modelnet40?

modelnet10 is work!

However, I change train.py like this

NUM_CLASSES = 40
TRAIN_DATASET = dataloader.ModelNetDataloader(root=DATA_PATH, npoints=NUM_POINT, split="train", modelnet10=False, normal_channel=False, batch_size=BATCH_SIZE)
TEST_DATASET = dataloader.ModelNetDataloader(root=DATA_PATH, npoints=NUM_POINT, split="test", modelnet10=False, normal_channel=False, batch_size=BATCH_SIZE)

but loss is diverge :(
so sadddd......

can you let me know setup for modelnet 40?

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