BiSeNet

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Costum Dataset: 2 Lables

14

I want to train my own data. The images have two lables 0 (Plant) and 1(Rest). I've generated an annotation file and adapted the im_root and train/val_im_anns in the configuration...

farmbert

Can you publish libtorch model？

1

Senwang98

Update base_dataset.py

2

add annotations

David-Chenn

The technique of reproducing the author's accuracy

4

Although this is not the first time for me to hang out with the author, I would like to thank the author again for the code. I've almost reproduced the...

yeyuxmf

Thank you for this implementation

6

I run the training code and test the performance of BiseNet-v1 and BiseNet-v2. The single mIOU is **75.30%** for v1 and **74.18%** for v2. As for the FPS, I didn't...

chenyzh28

I’m an Old Iron, so I hit 666 and 666.

2

Just for appreciating your work, which makes me laugh to tears.

cfzd

Support of Custom dataset

3

Hello How are you? Thanks for contributing this project. I am going to train a new model with the supervisely-person-dataset. How can I prepare the training dataset? Could u provide...

rose-jinyang

How to prepare one's own data?

9

I want to train on my own data. Can anyone give a short explaination on how to prepare and put the files?

zpge

RuntimeError: copy_if failed to synchronize: an illegal memory access was encountered

11

HI, Thanks for your great work. Now I'm trying to train model based on myself data using single GPU and I already made a few modifications as your readme. But...

ltshan

Bisenetv2

19

Bisenetv2 has come out, and my reproduction accuracy is only 66.7%. The author's paper is 73.6%. This bisenetv2 has better real-time performance. Would God be interested in reproducing it?

yeyuxmf