Comments (3)
qiaoliang6
commented on September 2, 2024
看一下issue #21 ，有可能是测试输入分辨率不太一致
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Gyann-z
commented on September 2, 2024
谢谢您的答复。我重新检查了一遍，我在test_ic15.py里调用的就是您给的config文件：mango_r50_ete_finetune_ic15.py，分辨率是(1800, 1600)，与您github的一样，但结果不一样。而且我尝试把分辨率改成其他数，测试的结果却没有变化，都是69.4。请问您知道是什么原因么？谢谢。
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cylzty110
commented on September 2, 2024
你可以采用论文中grid_num=60的配置用于测试icdar2015数据集
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Related Issues (20)
- Question about the code in DLD
- 训练自己数据到第三轮报错 HOT 4
- result['content_ann']['bboxes'
- When will the CTUNet code and datasets be released?It's a wonderful work!
- 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
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