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ychong
ychong commented Feb 8, 2018

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)))

enhancement good first issue

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

  • Updated May 4, 2022
  • Python

This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

  • Updated May 4, 2022
  • Python
JadenLy
JadenLy commented May 25, 2022

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

good first issue feature request

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