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Hi,
I got this error:
ValueError: Dimension 1 in both shapes must be equal, but are 12 and 8 for 'network/conv_lstm/BasicConvLSTMCell/Conv/concat' (op: 'ConcatV2') with input shapes: [?,12,12,4], [1…
ghost updated
7 years ago
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Currently, we have two models: 1) ConvLSTM 2) End2End
Need to try out a few hacky ways to improve the performance of model(s).
Suggest ideas here. Can also post the results here once implementati…
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您好,有一处问题想请教一下
` lstm, _ = self.convlstm(data)
test = lstm[0][-1,:,:,:,:]
`
第一行是定义了2层的lstm,一层用于提取特征,一层用于集成。
第二行的test =test = lstm[0][-1,:,:,:,:] 。 不知道是什么意思, 希望能解答一下, 谢谢
foxkw updated
2 years ago
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when i build my model with convlstm in the function `def forward(self, x):`
` summary[m_key]["input_shape"] = list(input[0].size())` in torchsummary.py
the input is empty tuple, so the program err…
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This is where, with some random chance, we give the RNN like ConvLSTM the ground truth label when its generating sequences in training. This can help with convergenc especially in the beginning, since…
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please I want to ask the file "splits.txt' .what is this ?
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The first problem is that in ConvLSTM.forward, the code is using the same x = input in multiple timesteps.
I guess the input shape of forward func. shall be changed to
```
[sequence, bsize, chann…
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Hi Paul,
I have a question regarding the role of residual connection. In PhyCRNet, the temporal derivative is already incorporated in the loss term, why do you still need the residual connection?
…
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For recurrent cells such as the following:
- [`LSTMCell`](https://flax.readthedocs.io/en/latest/api_reference/flax.linen/_autosummary/flax.linen.LSTMCell.html)
- [`GRUCell`](https://flax.readthedo…
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您好,大牛
1. 我看到您的AUDataset 的get_example() 输出的结果中有bbox,这个是9个AU group 区域嘛?
2. 请问 https://github.com/machanic/AU_R-CNN/blob/master/AU_rcnn/datasets/AU_dataset.py#L138-L202 ,是将 AU_box_dict 转化为最终的9个AU grou…