Comments (13)
@zobeirraisi Using --resume model_path
in the training command.
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Is the pretrained model "pre-trained-model-synthtext-resnet18" trained on synthtext dataset with dcn or normal conv2d?
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@moooood It seems that I uploaded the wrong "pre-trained-model-synthtext-resnet18" which does not include the DCN.
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@MhLiao 😎
in regards of F1, recall, precision, whats the difference between the dcn and normal conv2d version?
resnet 18 vs deformable resnet 18
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@deepseek DCN usually achieves higher performance, especially for the long text lines, since DCN gives a more flexible receptive field for the backbone.
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@MhLiao Could you provide the "pre-trained-model-synthtext-resnet18" model which trained with DCN?
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@liangkaihuan I will provide the model but maybe I need to find it or re-train it.
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The provided model ”pre-trained-model-synthtext-resnet18“ is trained with normal conv2d. Is that right?
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The provided model ”pre-trained-model-synthtext-resnet18“ is trained with normal conv2d. Is that right?
Yes. I will fix it later.
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Is the pretrained model "pre-trained-model-synthtext" trained on synthtext dataset with dcn or normal conv2d now ? @MhLiao
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@shaohailin It was still pretrained with normal conv2d, you can print model.state_dict().keys().
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can anyone provide pretrained with DCN?
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您好,现在请问有DCN 预训练的pre-trained-model-synthtext-resnet18吗?
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Related Issues (20)
- Spelling of prepare is wrong in README
- could you add a license file to your repo?
- ValueError: num_samples should be a positive integer value, but got num_samples=0
- 计算FPS时,--speed报错ZeroDivisionError: division by zero
- Error when converting checkpoint to ONNX HOT 3
- eval.py 报错:RuntimeError: Attempted to set the storage of a tensor on device "cuda:0" to a storage on different device "cpu". This is no longer allowed; the devices must match. HOT 5
- eval结果为0 HOT 8
- 想使用torch自带的dcn,代替代码中的DCN编译算子,请问大家如何下手?还是建议不修改 HOT 1
- The model trained by ASF config can't be used by demo.py
- Could not find a version that satisfies the requirement opencv-python==4.1.2.30 HOT 1
- CUDA error: device-side assert triggered HOT 1
- 运行python setup.py build_ext --inplace命令时出现错误 HOT 2
- Unknown CUDA
- .
- TypeError: metaclass conflict: the metaclass of a derived class must be a (non-strict) subclass of the metaclasses of all its bases
- Sizes of tensors must match except in dimension 0. Got 2 and 1 in dimension 1 HOT 1
- Calculation of Valiation loss
- How to print the output results of each layer of the model.Plz help
- 如何解决下面这个错误 路径输出图片都是正常的? HOT 1
- ICDAR2015训练 eval
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