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I use ABCNet to train my own dataset. The dataset sample just like:
![1](https://user-images.githubusercontent.com/15357846/99898974-c4bdc680-2ce0-11eb-8628-03e70258047d.png)
Use `abcnet_custom_data…
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for the detection only problem, if don't use syntext will the abcnet converge on ctw1500 with 1000 images? is syntext nessary for detection only
cyy21 updated
3 years ago
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I am using this ABCNet model: https://github.com/aim-uofa/AdelaiDet/blob/master/configs/BAText/README.md
When I run this code: python demo/demo.py \
--config-file configs/BAText/CTW1500/attn_R…
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[06/16 16:50:14 d2.data.dataset_mapper]: CropGen used in training: RandomCrop(crop_type='relative_range', crop_size=[0.1, 0.1])
[06/16 16:50:14 d2.data.detection_utils]: TransformGens used in trainin…
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I have to questions. First what e2e accuracy mean? its accuracy for detection and recognition? And det-hmean is only for detection?
And second on wich datasets was this model trained?
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您好!请问训练数据,弯曲的,如果模拟生成呢?
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I have tried ABCNet use 2 pre-trained model `ctw1500_attn_R_50.pth` and `tt_e2e_attn_R_50.pth`, but I found there is some diffs between the size of these 2 `pth` file.
`ctw1500_attn_R_50.pth` is 282M…
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I am training ABCNet on 1500 images having single word in an image. Can you tell me for how many steps I could train model. Is there any specific criteria for defining total number of steps?
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I used this script to run the demo, but this error occurred:
script:
`python demo/demo.py \
--config-file configs/BAText/CTW1500/attn_R_50.yaml \
--input datasets/CTW1500/ctwtest_text_imag…
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How to use "Bezier_curve_generation.py" and "generate_bezier_json.py" to generage abcnet train-set?