Comments (5)
novioleo
commented on April 28, 2024
堆数据
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terrancraft
commented on April 28, 2024
优化模型呢？
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novioleo
commented on April 28, 2024
这个模型没有优化的必要了
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jeremy520-source
commented on April 28, 2024
召回率有点偏低，请问是不是跟数据集过少有关。
不懂就问 有什么提升召回率的思路？
您好，我也是训练检测模型，但是报错，您遇到过吗？可否告知我解决的办法
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yangy996
commented on April 28, 2024
你训练了多少轮呢？我从0训练到30轮，best metric, hmean: 0.40245947456679704, precision: 0.47904191616766467, recall: 0.346987951807228，好低
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Related Issues (20)
- 有没有本项目crnn pth训练结果 转onnx的代码？
- 大佬们你们训练的时候速度是多少？为什么我这里这么👨
- 文本识别: RecLmdbDataset数据集存在严重bug
- 您好，作者，请问可以加载paddle的检测模型进行微调训练吗？ HOT 4
- 识别模型训练时如何开启数据增强 HOT 2
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- python tools/infer_rec.py -c configs/rec/PP-OCRv3/ch_PP-OCRv3_rec_distillation.yml HOT 6
- 请问目前转换成onnx格式推理的功能可以使用了吗 HOT 3
- 请问cls的模型有开源参数吗 HOT 2
- 在det模型中，如何调节检测框之间合并的间距阈值
- use the comand to run the train report the warning,any one have the same warning? HOT 1
- 训练ch_PP-OCRv3_rec不收敛，CTCLOSS到50就不降了 HOT 1
- ch_ppocr_mobile_v2.0_cls_train 的 config文件是不是没上传？ HOT 3
- cls_mv3 模型权重是不是忘了上传了？ 链接里没有 HOT 2
- 为什么新样本首次推理速度都会慢？ HOT 4
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