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tensorboard
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When a TF serving model returns a failure instead of a prediction, pass the failure string to the front-end for display instead of the generic http error we see now.
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Deformable
Hello,
I am doing a school project and came across your paper on BezierLaneNet. I really like the idea and I am trying to implement it. One thing I do notice is that you opted to use mmcv
for deformable convolution layer. I wonder if you think it is possible to replace it with the deform_conv2d
layer provided by PyTorch as [here](https://pytorch.org/vision/main/generated/torchvision.ops.def
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Hi I would like to propose a better implementation for 'test_indices':
We can remove the unneeded np.array casting:
Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))
Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))