TextSnake.pytorch

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Bumps [pillow](https://github.com/python-pillow/Pillow) from 5.3.0 to 9.3.0. Release notes Sourced from pillow's releases. 9.3.0 https://pillow.readthedocs.io/en/stable/releasenotes/9.3.0.html Changes Initialize libtiff buffer when saving #6699 [@​radarhere] Limit SAMPLESPERPIXEL to avoid runtime DOS #6700 [@​wiredfool]...

dependabot[bot]

Bumps [numpy](https://github.com/numpy/numpy) from 1.15.1 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependabot[bot]

How to change 'num_workers'?

2

'config.py' in 'util' doesn't works.

tiamjiakun

RuntimeError: Cannot re-initialize CUDA in forked subprocess.

2

Getting RuntimeError: Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method. working with colab. Here pytorch version is 1.7.0 

AmrutaAnalytics

In my case TextSnake works well on detecting the text region however the recognition part is not so great - this is mainly because the domain text is medical. I...

naarkhoo

Hi Thank you for very interesting work. However, I am stuck here handling your code. I wish texts in a horizontal way would be grouped together with looser policy. Can...

wjun0830

About CTW1500 and ICDAR2015 dataset

3

Hi, thank you for your open source contributions. I follow total_text.py write the data loading part of CTW 1500 and encountered the following problems ` Traceback (most recent call last):...

rookiecm

Can't run demo.py

1

Trying to run pure inference part, Downgraded pytorch version to 1.5 (torch==1.5.0+cu101 torchvision==0.6.0+cu101), then Set CUDA_VISIBLE_DEVICES=0 python demo.py $EXPNAME --checkepoch 180 --img_root "path to image " , but getting following...

AmrutaAnalytics

RuntimeError: Cannot re-initialize CUDA in forked subprocess

3

`Epoch: 0 : LR = 0.0001 Traceback (most recent call last): File "train_textsnake.py", line 238, in main() File "train_textsnake.py", line 223, in main train(model, train_loader, criterion, scheduler, optimizer, epoch, logger)...

dadadadashan

after executing demo.py, it detected the curved text in the image but didn't provide the flattened output as shown in figure 9. Can you help me with that?

bhumikasinghrk