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View Code? Open in Web Editor NEW(CVPR 2024) Bridging the Gap Between End-to-End and Two-Step Text Spotting.
Home Page: https://arxiv.org/pdf/2404.04624.pdf
License: Other
(CVPR 2024) Bridging the Gap Between End-to-End and Two-Step Text Spotting.
Home Page: https://arxiv.org/pdf/2404.04624.pdf
License: Other
运行编译时 一直报错,尝试多种办法也无果,报错信息如下,能麻烦帮忙看看吗?
cc1plus: warning: command line option ‘-Wstrict-prototypes’ is valid for C/ObjC but not for C++
In file included from /home/[email protected]/Bridging-Text-Spotting/adet/layers/csrc/DeformAttn/ms_deform_attn_cpu.cpp:14:
/home/[email protected]/.conda/envs/Bridge/lib/python3.8/site-packages/torch/include/ATen/cuda/CUDAContext.h:5:10: fatal error: cuda_runtime_api.h: No such file or directory
5 | #include <cuda_runtime_api.h>
| ^~~~~~~~~~~~~~~~~~~~
compilation terminated.
error: command 'gcc' failed with exit status 1
Hello;
Thank you for your great work. Can you guide me how can I train this model with custom dataset?
Thank you for your guidance
Hello.
First of all, thanks for sharing nice works :>
I want to get a result of detection + recognition (text spotting).
But, it only show detection results without any text label.
I followed the rule that you mentioned like below
python demo/demo.py --config-file configs/Bridge/ICDAR15/R_50_poly.yaml --input input.png --output output.jpg --opts MODEL.WEIGHTS ./pretrained_models/Bridge_ic15.pth
Any reasons?
Thanks.
请问训练的这个权重是什么呀,是检测的权重还是识别的权重呢
I downloaded the annotation files for the tt dataset using the link you provided and successfully loaded the dataset and weights. However, I encountered this error during the forward process. I am not sure whether the issue is due to the code, my configuration, or a problem with a third-party library. I hope the author can provide some clarification. Thank you.
请问为什么是用的box_crop呢,既然有了多边形的检测结果,为什么不用tps等矫正呢,不理解。
Dear author, I noticed that only the pretraining code is provided in the document, like
python tools/train_net.py --config-file configs/Bridge/TotalText/R_50_poly.yaml --num-gpus 4 MODEL.WEIGHTS totaltext_final.pth
Is there any code available for training from scratch?
Thanks for your outstanding work! I have noticed that the previous works use rotated datasets, like Total-Text. I want to know the difference between them and why the rotated images perform better than raw images.
论文中说不需要额外训练识别器,所以DiG模型的权重使用的是预训练权重而不是微调权重吗?
检测器使用的是微调权重?
打扰到您了,想请教一下,如果想更换一下检测器和识别器的话,具体需要更改哪些文件,特别感谢
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