Comments (5)
@dzyjjpy Hello, i am also trying to convert a Head Pose Estimation (Hopenet) model trained using pytorch to caffe by this repository. Can you share some advice how to use this repository to do so ?
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@dzyjjpy @trohit920 Thanks for interested in this repo and I am very glad this is helpful for you. What's the type of your last two layers? Or you can provide me a simple model for debugging. I will try to find the reason when I have free time.
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@longcw I am working on converting Hopenet model Link to caffe. You can check model file and download the model from this link model. Plese take a look. Thanks in advance.
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@longcw Hi , I have convert successfully before. thanks for your concern
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@trohit920 after network initialization, call the pytorch2caffe function to convert.
pay attention to the output layers, as it has three branch, so you need to edit some code in pytorch2caffe.py
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Related Issues (20)
- 'Dot' object is not iterable HOT 3
- got error: Segmentation fault (core dumped) HOT 1
- pytorch 0.4 support
- ResNet size issue -> not accepting 224
- Does one model with nn.MaxUnpool2d layers in pytorch can be transformed to caffe model?
- CudnnBatchNormBackward
- KeyError: 'MkldnnConvolutionBackward' HOT 9
- which version of pytorch and torchvision should be used? advice needed HOT 5
- AttributeError: tuple object has no attribute 'grad_fn' HOT 6
- ExpandBackward HOT 3
- layer_dict的对应关系
- "dot" not found in path HOT 2
- undefined symbol: _ZN3MPI8Datatype4FreeEv HOT 2
- training error
- 关于pytorch2caffe的步骤
- convert KeyError: 'MkldnnConvolutionBackward' HOT 1
- "TypeError: argument 0 is not a Variable", torch version:0.2.0
- Can it transform LSTM layer? HOT 1
- how do i transform pth file to caffemodel? HOT 1
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