Comments (3)
The test pipeline code will be published soon.
from davar-lab-ocr.
Well, i think what you mean by "test_pipeline" is re-writing codes to preprocess the image (resize, pad, normalize...) and text (tokenize...) separately?
However, all these code are already in the code. And it's more convenient to use the current pipeline.
If you still have any doubt, feel free to post.
from davar-lab-ocr.
The test pipeline code will be published soon.
The code has been updated in e14ed62
from davar-lab-ocr.
Related Issues (20)
- how to i use inference?
- train with 1 gpu HOT 1
- 生成的表格
- 18
- how to convert LGPMA to onnx HOT 2
- 2 dead links on LPGMA page HOT 1
- DI 数据集使用问题,可视化"labels",在纵向阅读顺序多列情况遇到的问题
- The pretrained model cannot be downloaded HOT 2
- 请问CTUNet为何要将ComFintab的中文部分和英文部分分别训练
- Can CTUNet opensource the inference code without gt_bbox、gt_text
- Does CTUNet 's masked self-attention mechanism in the graph attention network USE the neighbours relation in Structural Graph Construction part? HOT 1
- In order to reproduce the accuracy in the LGPMA paper, is it necessary to turn on refine_bboxes during post-processing?
- 关于LGPMA训练数据格式的疑问
- Insufficient space for training VSR
- MMdistributedDataparallel 多卡加载数据报错,单卡没有问题
- 请问DRCC工作会开源吗
- LGPMA 空单元格坐标不能预测出来?没找到相关代码
- LGPMA表格处理
- 。
- when i run bash test.sh command i have error
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from davar-lab-ocr.