Comments (5)
There is no plan to train DPNs on Caffe.
But you can find some converted model at: soeaver/caffe-model
Also, you can convert the trained mxnet model by using model converters: ysh329/deep-learning-model-convertor
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Yes,I know this converters, thanks for your help.
another question: the score.py is running wrong ,the val.log is empty, there is no any result.
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Do you have VeiXin , can I add you?
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"--network dpn-92" in the run_val.sh , show the wrong "Segmentation fault(core dumped)", how can I do?
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Solved
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Related Issues (20)
- Why "num_filter=(num_1x1_c+2*inc)" instead of "num_filter=(num_1x1_c+inc)" HOT 2
- I want to detect objects by DPNs HOT 6
- "Mean-Max pooling" HOT 1
- Cann't find pretrained model based on Keras
- DPN-98 on Place365-Standard dataset HOT 2
- .rec must use the DPNs's Mxnet im2rec? HOT 12
- How to replace augmenter in new mxnet source by image_aug_torch.cc
- Train Log about DPNs
- ImageNet-5k data HOT 4
- Finetune on new dataset HOT 4
- Need substrated mean RGB = [124,117,104] on DPN-68 of imagenet-5k? HOT 4
- The order of Blocks: BN-Act-Conv2d or Conv2d-BN-Act?
- some question about hyper parameter
- In DPN86-5k and DPN92-5k, What's the relation between label and semantic class ? HOT 2
- OSError HOT 1
- How to train DPNs HOT 2
- about inference image shape HOT 3
- Segmentation fault HOT 1
- How to trian my dataset by DPNs? HOT 2
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