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| vi DB/training/learning_rate.py |
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| lr = State(default=0.007) |
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| in the yaml file |
| learning_rate: |
| class: DecayLearningRate |
| lr: 0.001 |
| epochs: 1200 |
| # 学习率要这两个地方一起来成一至后，logs 显示才正常 |
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| RuntimeError: transform: failed to synchronize: cudaErrorAssert: device-side assert triggered |
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| I fixed this problem after I change my pytorch version to 1.4.1 |
| # 解决训练中途出错 |
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| see huggingface\DBNet\aliocr_IC15_char_convert.py |
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| # see doc\lang\programming\pytorch\文本检测\DBNET 论文代码都有 |
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| 字符级标注 |
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| 测试 |
| CUDA_VISIBLE_DEVICES=0 python demo.py experiments/seg_detector/ic15_resnet18_deform_thre.yaml --image_path datasets/icdar2015/test_images/img_1.jpg --resume /root/final --polygon --box_thresh 0.7 --visualize |
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| CUDA_VISIBLE_DEVICES=0 python eval.py experiments/seg_detector/ic15_resnet18_deform_thre.yaml --resume outputs/workspace/DB/SegDetectorModel-seg_detector/deformable_resnet18/L1BalanceCELoss/model/final --box_thresh 0.55 |
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| 实测一张图拆出来的每一行一个图，字符级标注：结果完全不得行 |
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| todo: |
| 优化训练原码，自已写 |
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